Custom Data Streams

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

Metadata can also be defined on the Columns tab when configuring data tiles. See Columns.

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Shapes

Data Stream for Events

Which entry point do I have to select from the dropdown?

Events

Code example:

{
  "name": "customEvents",
  "dataSourceConfig": {
    "eventTypes": [
      "APP_SERVER_RESTART",
      "APPLICATION_DEPLOYMENT"
    ],
    "severities": [
      "INFO",
      "WARN"
    ]
  },
  "rowPath": [],
  "matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },
  "metadata": []
}

Parameters:

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

eventTypes

Optional

Enter the names of the event types you want to return. If you don't specify any event types, all event types will be returned.

You can find a list of all AppDynamics event types in their API documentation: https://docs.appdynamics.com/display/PRO40/Events+Reference

severities

Optional

You can filter the returned events by their severity. The possible values are:

INFO
WARN
ERROR

If you don't specify any severities, you'll get events of all severities.

matches

Optional

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Data Stream for Metrics

Which entry point do I have to select from the dropdown?

Metrics

Code example:

{
    "name": "kpiDatabaseAvailability",
    "dataSourceConfig": {
        "metric": "KPI|DB Availability",
        "scaleFactor": 100
    },
    "rowPath": [],
    "matches": {
        "sourceName": { "type": "equals", 
        				"value": "AppDynamics" 
        				},
        "type": { "type": "equals", 
        			"value": "db" 
        		  }
    },
    "metadata": []
}

Parameters:

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

metric

Mandatory

You need to enter the correct string of the AppDynamics metric here. To find the correct, string, you need to log into your AppDynamics account and open the Metric Browser. Click on one of the metrics to see the full path of the metric. Which part of the metric you have to enter for metric depends on the object:

For applications, tiers, and nodes:
Enter only the bit after the last |
Example: For "Overall Application Performance|Calls per Minute" you need to enter "Calls per Minute".

For hosts, databases and EUM apps:

scaleFactor

Optional

You can enter a number to scale the results. The results will be multiplied by the number you entered. This is useful when you want to convert results to percentages. For example, when the result is a number between 0 and 1, you can multiply the result by 100 to get a percentage.

matches

Optional

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

Note: You should limit the Data Stream to the objects that have the metric you specified in the metric parameter.

metadata

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example for a JQL query

This Data Stream returns a list of issues based on the given JQL query.

Tip: When you are using the blocks visualization for a tile that uses this Data Stream, completed issues will be shown as green, all other issues will be gray.

Which entry point do I have to select from the dropdown?

JQL query

Code example:

{
                "name": "projectIssuesAll",
                "dataSourceConfig": {
                    "jql": "project={{key}}&updatedDate>='{{timeframe.startTime}}'"
                },
                "rowPath": [],
                "matches": {
                    "type.0": { "type": "equals", "value": "jira project" }
                },
                "metadata": [
    { "name": "key",                               "displayName": "Key",                         "shape": "string", "role": "id" },
                { "name": "fields.summary",                    "displayName": "Summary",                     "shape": "string" },
                { "name": "fields.issuetype.name",             "displayName": "Type",                        "shape": "string" },
                { "name": "fields.priority.name",              "displayName": "Priority",                    "shape": "string" },
                { "name": "fields.status.name",                "displayName": "Status",                      "shape": "string" },
                { "name": "fields.status.statusCategory.name", "displayName": "Status Category",             "shape": "string", "visible": false },
                { "name": "fields.resolution.name",            "displayName": "Resolution",                  "shape": "string" },
                { "name": "fields.project.name",               "displayName": "Project",                     "shape": "string" },
                { "name": "fields.issuetype.subtask",          "displayName": "Subtask",                     "shape": "boolean", "visible": false },
                { "name": "fields.creator.displayName",        "displayName": "Creator",                     "shape": "string", "visible": false },
                { "name": "fields.reporter.displayName",       "displayName": "Reporter",                    "shape": "string" },
                { "name": "fields.created",                    "displayName": "Created",                     "shape": "date" },
                { "name": "fields.updated",                    "displayName": "Updated",                     "shape": "date" },
                { "name": "fields.statuscategorychangedate",   "displayName": "Last Status Category Change", "shape": "date", "visible": false },
                { "name": "fields.resolutiondate",             "displayName": "Resolution Date",             "shape": "date" },
                { "name": "url",                               "displayName": "Link",                        "shape": "url" },
                { "name": "blockState",                        "displayName": "Block State",                 "shape": "state", "visible": false },
                { "name": "blockLabel",                        "displayName": "Block Label",                 "shape": "string", "role": "label", "visible": false }
]
            }

Parameters:

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

jql

Enter the JQL query you want to use here. The query will call the /rest/api/3/search endpoint, please refer to the Atlassian Jira API documentation for details about which queries you can use: https://developer.atlassian.com/cloud/jira/platform/rest/v3/api-group-issue-search/#api-rest-api-3-search-get)

You can use mustache parameters in your query.

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

You can use the dashboard timeframe as a parameter in your query.

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

The parameter for the dashboard timeframe is called timeframe. You can modify the format (how the timeframe is sent via the query and how it will be displayed in SquaredUp) with properties like startTime.

Example of how you'd insert the dashboard timeframe as a parameter in your query: {{timeframe.startTime}}

Meaning of the timeframe properties

Note: You need to use a format that includes date and time if you want to use the dashboard timeframe settings "last hour" and "last 12 hours"

`startTime`	Date and time ( yyyy-MM-dd HH:mm) Uses the start date of the dashboard timeframe (now minus the dashboard timeframe)
`endTime`	Date and time ( yyyy-MM-dd HH:mm) Uses the end date of the dashboard timeframe (now)
`startDate`	Date only (yyyy-MM-dd) Uses the start date of the dashboard timeframe (now minus the dashboard timeframe)
`endDate`	Date only (yyyy-MM-dd) Uses the end date of the dashboard timeframe (now)

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

This custom Data Stream will enable you to get different granularity or metrics than the default Cost Data Stream for AWS.

Which entry point do I have to select from the dropdown?

Account Cost

Code example:

{
    "name": "account-cost",
    "dataSourceConfig": {
        "groupBy": [
            {
                "Type": "DIMENSION",
                "Key": "SERVICE"
            }
        ],
        "metrics": [
            "AmortizedCost"
        ],
        "granularity": "HOURLY",
        "filter": {
            "Dimensions": {
                "Key": "SERVICE",
                "Values": [
                    "AWS Cost Explorer"
                ]
            }
        },
        "rowPath": [
            "ResultsByTime",
            [
                "Groups"
            ]
        ],
        "matches": {
            "sourceType.0": {
                "type": "equals",
                "value": "AWS Account"
            }
        },
        "metadata": [
            {
                "name": "ResultsByTime.TimePeriod.Start",
                "displayName": "Date",
                "shape": "date"
            },
            {
                "name": "ResultsByTime.Groups.Keys.0",
                "displayName": "Service",
                "role": "label",
                "shape": "string"
            },
            {
                "name": "ResultsByTime.Groups.Metrics.AmortizedCost.Amount",
                "displayName": "Cost",
                "role": "value",
                "shape": "currency"
            },
            {
                "name": "ResultsByTime.Groups.Metrics.AmortizedCost.Unit",
                "displayName": "Currency",
                "shape": "string"
            },
            {
                "name": "ResultsByTime.Estimated",
                "displayName": "Estimated",
                "shape": "boolean"
            }
        ]
    }
}

Parameters

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

Note: You'll find a detailed description about what each parameter does and which values you can use in the AWS API docs: https://docs.aws.amazon.com/aws-cost-management/latest/APIReference/API_GetCostAndUsage.html

`metrics`	Mandatory	The metrics you want to return, for example `AmortizedCost`. If you don't specify `metrics`, the default value is `UnblendedCost`.
`granularity`	Mandatory	The granularity of the data, for example `HOURLY`. If you don't specify `granularity`, the default value is `DAILY`.
`groupBy`	Optional	Use this if you want to group the data. For example, the default AWS Cost Data Stream groups the data by `SERVICE`, which returns the costs for each service in your account. If you don't group by anything, you'll get the costs for your whole account.
`filter`	Optional	Use this if you want to filter AWS costs by different dimensions. For example, if you only want to return the costs of the Cost Explorer service, you can filter to that service here. If you don't use any filter, all cost data for your account will be returned.

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

rowPath Parameter

Optional

SquaredUp expects data in table form, and here's where you define how the table with your return data will be structured.

The rowPath will tell SquaredUp which items you want to convert into rows.

Example:

Let's say your return data looks like this:

{
    "generalInfo": "some info",
    "results": [
        {
            "name": "object 1",
            "tags": [
                "tag 1",
                "tag 2",
                "tag 3"
            ]
        },
        {
            "name": "object 2",
            "tags": [
                "tag 1",
                "tag 4"
            ]
        }
    ]
}

Now it depends on what data you want to base your table on, do you want rows per object or per tag?

If you want to see which objects have which tags, your rowPath would be results, and your table would look like this:

`name`	`tags`	`generalInfo`
object 1	tag 1, tag 2, tag 3	some info
object 2	tag 1, tag 4	some info

If you want to turn each tag into a row and see to which objects they are applied, your rowPath would be results.tags, and your table would look like this:

`tags`	`name`	`generalInfo`
tag 1	object 1	some info
tag 1	object 2	some info
tag 2	object 1	some info
tag 3	object 1	some info
tag 4	object 2	some info

As you can see in the example, each parameter gets turned into a column and the items of the parameter you chose as the rowPath will be turned into rows.

You might also have noticed in the example that the parameter generalInfo was included in both cases. This is because after going through all parameters on the same level as your rowPath, SquaredUp will move through all levels above the rowPath and create columns from those parameters, too. Parameters on levels below the rowPath won't be included in the table.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Log Analytics Data Stream

Which entry point do I have to select from the dropdown?

Log Analytics Query

Code example:

{
  "name": "customLogAnalyticsQuery",
  "dataSourceConfig": {
    "query": "Heartbeat | where TimeGenerated > ago(1d)",
    "includeWorkspaceName": true
  },
  "rowPath": [],
  "matches": {
    "sourceType": {
      "type": "equals",
      "value": "microsoft.operationalinsights/workspaces"
    }
  },
  "metadata": []
}

Parameters

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

query

Mandatory

Insert your Kusto query here. The query must be written all in one line.

Note:

The Kusto query supports mustache parameters. Mustache parameters must refer to the property names of an Azure Application (e.g. name, resourceGroup).

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

includeWorkspaceName

Optional

If you set this to true an extra column will be added at the end of the output that contains the workspace name the results of this row refer to. This is useful when you are querying multiple workspaces.

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Custom Metrics Data Stream

Which entry point do I have to select from the dropdown?

Metric

Code example:

{
  "name": "customMetric",
  "dataSourceConfig": {
    "metricNames": "Network Out Total"
  },
  "rowPath": ["value", "timeseries", "data"],
  "matches": {
    "sourceType": {
      "type": "oneOf",
      "values": [
        "microsoft.compute/cloudservices",
        "microsoft.compute/cloudservices/roles",
        "microsoft.compute/virtualmachines",
        "microsoft.compute/virtualmachinescalesets",
        "microsoft.compute/virtualmachinescalesets/virtualmachines"
      ]
    }
  },
  "metadata": []

Parameters

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

metricNames

Mandatory

Enter the metric you want to return. You can get a list of all available metrics in the Azure documentation: https://docs.microsoft.com/en-us/azure/azure-monitor/essentials/metrics-supported

Make sure to use the correct metrics for the objects you're using. The Azure docs will tell you which metrics a re available for which objects. You should limit your Data Stream to those objects with the matches parameter.

rowPath Parameters

rowPath

The rowPath has to be ["value", "timeseries", "data"]

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example for Custom Metrics

Which entry point do I have to select from the dropdown?

Metrics

Code example:

{
    "name": "cpuUser",
    "dataSourceConfig": {
        "metric": "system.cpu.user"
    },
    "rowPath": [],
    "matches": {
        "type": { 
        	"type": "equals", 
        	"value": "datadog host" 
        }
   	},
    "metadata": [
        { "name": "host",      "displayName": "Host",      "shape": "string" },
        { "name": "value",     "displayName": "Value",     "shape": "percent" },
        { "name": "timestamp", "displayName": "Timestamp", "shape": "date" }
    ]
}

Parameters

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

metric

Mandatory

To find out which metrics are available and their exact name, you can make an API GET request to the Datadog API. Please note that some of the metrics might not be compatible with the Datadog host object. Since this Data Stream is only for Datadog host objects, only metrics that are meant for host objects can be used.

Settings for the API request:

URL: https://API_URL/api/v1/metrics?from=0

API_URL depends on the URL of your Datadog instance and will be one of the following:

api.datadoghq.com
api.datadoghq.eu
api.ddog-gov.com

Headers:
DD-API-KEY: An API key you created in your Datadog instance

DD-APPLICATION-KEY: An application key you created in your Datadog instance

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

Datadog Data Streams only work with the object type host (datadog host).

rowPath Parameters

Can be left empty.

metadata Parameters

To make sure that all your data has the proper shape you should enter the metadata like shown in the example:

"metadata": [
        { "name": "host",      "displayName": "Host",      "shape": "string" },
        { "name": "value",     "displayName": "Value",     "shape": "percent/bytes/milliseconds/..." //depends on the metric// },
        { "name": "timestamp", "displayName": "Timestamp", "shape": "date" }
]

This ensures that the timestamp comes back as a date etc.

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

You can use mustache parameters in your data stream. You can use them in your query as well as anywhere else in the data stream code (for example, to call an API endpoint depending on an object's name).

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

Query Example:

{
  "name": "customQuery",
  "dataSourceConfig": {
    "queryBody": {
      "query": {
        "query_string": {
          "query": "managedEntityDisplayName:\"Microsoft Windows Server 2016 Datacenter\""
        }
      }
    },
    "queryParams": {}
  },
  "rowPath": [
    "hits",
    "hits"
  ],
  "matches": "all",
  "metadata": [
    {
      "name": "hits.hits._index",
      "displayName": "Index"
    },
    {
      "name": "hits.hits._source.managedEntityDisplayName",
      "displayName": "Entity Name"
    },
    {
      "name": "hits.hits._source.counter",
      "displayName": "Metric"
    },
    {
      "name": "hits.hits._source.value",
      "displayName": "Value"
    },
    {
      "name": "hits.hits._source.timestamp",
      "displayName": "Timestamp",
      "shape": "date"
    }
  ]
}

Parameters:

`name`	Mandatory	The internal name of the Data Stream. Can be used the refer to this Data Stream in a tile's JSON instead of using the Data Stream's internal ID.
`queryBody`	Mandatory	Insert your Query DSL here. Your query needs to replace lines 5 to 9 in the code example above.
`rowPath`	Mandatory	Depends on the data returned from your query. Enter the path to the row you want to use (the row path in the code example above is hits.hits).
`metadata`	Mandatory	Depends on the data returned from your query. Use the code example above as a template for the columns you want to return.

metadata Parameter:

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Lucene Query Example:

{
  "name": "luceneQuery",
  "dataSourceConfig": {
    "queryBody": {},
    "queryParams": {
      "q": "managedEntityDisplayName:\"Microsoft Windows Server 2016 Datacenter\""
    }
  },
  "rowPath": [
    "hits",
    "hits"
  ],
  "matches": "all",
  "metadata": [
    {
      "name": "hits.hits._index",
      "displayName": "Index"
    },
    {
      "name": "hits.hits._source.managedEntityDisplayName",
      "displayName": "Entity Name"
    },
    {
      "name": "hits.hits._source.counter",
      "displayName": "Metric"
    },
    {
      "name": "hits.hits._source.value",
      "displayName": "Value"
    },
    {
      "name": "hits.hits._source.timestamp",
      "displayName": "Timestamp",
      "shape": "date"
    }
  ]
}

Parameters:

`name`	Mandatory	The internal name of the Data Stream. Can be used the refer to this Data Stream in a tile's JSON instead of using the Data Stream's internal ID.
`q`	Mandatory	Insert your Lucene query here (line 6 in the code example above).
`rowPath`	Mandatory	Depends on the data returned from your query. Enter the path to the row you want to use (the row path in the code example above is hits.hits).
`metadata`	Mandatory	Depends on the data returned from your query. Use the code example above as a template for the columns you want to return.

metadata Parameter:

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Custom API Call Example:

{
  "name": "customApiCall",
  "dataSourceConfig": {
    "method": "POST",
    "endpoint": "{{name}}/_search",
    "headers": {},
    "params": {},
    "body": {
      "query": {
        "query_string": {
          "query": "managedEntityDisplayName:\"Microsoft Windows Server 2016 Datacenter\""
        }
      }
    }
  },
  "rowPath": [
    "hits",
    "hits"
  ],
  "matches": "all",
  "metadata": []
}

Parameters:

`name`	Mandatory	The internal name of the Data Stream. Can be used the refer to this Data Stream in a tile's JSON instead of using the Data Stream's internal ID.
`method`	Mandatory	Enter the method (POST or GET)
`endpoint`	Mandatory	Enter the API endpoint you want to call.
`headers`, `params`	Optional	Here you can add headers and parameters to your API call.
`body`	Mandatory or optional	Mandatory when you are using a POST `method` to insert your custom query. Optional when you are using a GET `method`.
`rowPath`	Mandatory	Depends on the data returned from your query. Enter the path to the row you want to use (the row path in the code example above is hits.hits).
`metadata`	Mandatory	Depends on the data returned from your query.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Create BigQuery (Scoped) data stream

Code example:

{
  "name": "exampleScopedBigQuery",
  "dataSourceConfig": {
    "query": "SELECT project.name, service.description FROM `<project_id>.<data_set_name>.<table_name>` WHERE project.id in ('{{sourceId}}') GROUP BY 1,2 ORDER BY 1,2;"
  },
  "rowPath": [],
  "matches": {
    "sourceType.0": {
      "type": "oneOf",
      "values": [
        "GCP Project"
      ]
    }
  },
      "metadata": [
        { "name": "name", "displayName": "Project","shape": "string", "role": "label" },
        { "name": "description", "displayName": "Service", "shape": "string" },
      ]
}

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

useTimeFrame

Optional

You can add "useTimeFrame": true to the dataSourceConfig to use the dashboard timeframe, and inject @startDate and/or @endDate parameters into your query and these will be passed to the dashboard timeframe.

For example:

{
    "name": "exampleBigQuery",
    "dataSourceConfig": {
        "useTimeFrame": true,
        "query": "SELECT <column_1> FROM `<project_id>.<data_set_name>.<table_name>` WHERE <dateColumn> BETWEEN @startDate AND @endDate"
    },
    "rowPath": [],
    "matches": "none",
    "metadata": []
}

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

query

Mandatory

Insert your query here. The query must be written all in one line. The query supports mustache parameters (in between curly braces e.g {{name}}). Mustache must refer to the property names of a GCP object that is the scope of the query. In the example we scope a query by GCP project. The query will execute for each object in the scope and return all results.

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

rowPath

Optional

Depends on the data returned from your query. Enter the path to the row you want to use.

matches

Matches should be populated appropriately to the type of objects in the scope, that you want this data stream to work for.

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example 1: Using a Prometheus query

Which entry point do I have to select from the dropdown?

Prometheus Query (Global)

Code example:

{
"name": "prometheus_global",
"matches": "none",
"dataSourceConfig": {
"ignoreTimeFrame": true,
"query": "sum by (instance) (rate(kubedns_probe_dnsmasq_latency_ms_sum[1m])) / sum by (instance) (rate(kubedns_probe_dnsmasq_latency_ms_count[1m]))"
},
"rowPath": [
"results"
],
"metadata": []
}

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

query

Mandatory

Note: You can't use mustache parameters in the query since it doesn't use the matches parameter.

ignoreTimeFrame

Optional

You can add the ignoreTimeFrame parameter and set it to true if you want the query to ignore the current dashboard timeframe of a dashboard.
If ignoreTimeFrame is left out or set to false, the query will use the current dashboard timeframe.

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

matches Parameters

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

rowPath Parameters

Mandatory

Depends on the data returned from your query. Enter the path to the row you want to use (the row path in the code example above is results).

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example 2: Get CPU usage for a selected object from a GCP cluster

Note: This Data Stream requires a Google Cloud Platform data source which has to be configured to return information from a cluster.

Which entry point do I have to select from the dropdown?

PromQL

Code example:

{
  "name": "prometheuscpu",
  "matches": {
    "sourceType": {
      "type": "equals",
      "value": "compute#instance"
    }
  },
  "dataSourceConfig": {
    "query": "instance:node_cpu:rate:sum{instance=\"{{name}}\"}"
  },
  "rowPath": [
    "results"
  ],
  "metadata": [
  ]
}

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

query

Mandatory

You can use mustache parameters in the query.

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

ignoreTimeFrame

You can add the ignoreTimeFrame parameter and set it to true if you want the query to ignore the current dashboard timeframe of a dashboard.
If ignoreTimeFrame is left out or set to false, the query will use the current dashboard timeframe.

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

rowPath Parameters

Mandatory

Depends on the data returned from your query. Enter the path to the row you want to use (the row path in the code example above is results).

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Which entry point do I have to select from the dropdown?

SWQL

Code example:

Information about parameters in the script:

{
    "name": "my-custom-swql-datastream",
    "dataSourceConfig": {
        "swql": "SELECT something FROM somewhere WHERE something like something"
    },
    "rowPath": ["results"],
    "matches": {
        "sourceType": { 
        	"type": "equals",
        	"value": "SolarWinds Host" 
        	}
    },
    "metadata": []
}

Parameters

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

swql

Here you define which data to return, written in the format
SELECT something FROM somewhere WHERE something like something

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example 1: Get Windows Event Log Entries for Given Hosts

This Data Stream uses Host objects which need to come from a different data source (for example, from the VMware vCenter data source), and performs a query to get Windows application log event messages.

Which entry point do I have to select from the dropdown?

Splunk Enterprise Query (Scoped)

Code example:

{
  "name": "SplunkAppEventsForHost",
  "dataSourceConfig": {
    "query": "search source=\"WinEventLog:Application\" | where host = \"{{name}}\" | fields host,Message"
  },
  "matches": {
    "type": {
      "type": "equals",
        "value": "host"
      }
   },
  "rowPath": [],
  "metadata": [
    { "name": "_indextime", "displayName": "Timestamp", "shape": "date",    "role": "timestamp" },
    { "name": "host",       "displayName": "Host",      "shape": "string" },
    { "name": "Message",    "displayName": "Message",   "shape": "string",  "role": "value" }
  ]
}

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

query

Mandatory

You can use mustache parameters in the query.

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

ignoreTimeFrame

Optional

You can add the ignoreTimeFrame parameter and set it to true if you want the query to ignore the current dashboard timeframe of a dashboard.
If ignoreTimeFrame is left out or set to false, the query will use the current dashboard timeframe.

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example 2: Get Results for Saved Report

Note: This Data Stream uses the Splunk Enterprise organization object and doesn't rely on objects coming from other data sources.

Which entry point do I have to select from the dropdown?

Splunk Enterprise Query (Scoped)

Code example:

{
  "name": "SplunkRunMySavedReport",
  "dataSourceConfig": {
    "query": "| savedsearch mySavedReport | fields host,Message"
  },
  "matches": { 
    "sourceType": { "type": "equals", "value": "Splunk Enterprise Organization" } 
  },
  "rowPath": [],
  "metadata": [
    { "name": "_indextime", "displayName": "Timestamp", "shape": "date",    "role": "timestamp" },
    { "name": "host",       "displayName": "Host",      "shape": "string" },
    { "name": "Message",    "displayName": "Message",   "shape": "string",  "role": "value" }
  ]
}

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

query

Mandatory

You can use mustache parameters in the query.

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

ignoreTimeFrame

Optional

You can add the ignoreTimeFrame parameter and set it to true if you want the query to ignore the current dashboard timeframe of a dashboard.
If ignoreTimeFrame is left out or set to false, the query will use the current dashboard timeframe.

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Example 3: Get Time-Series Data for Metric

Note: This Data Stream uses the Splunk Enterprise organization object and doesn't rely on objects coming from other data sources.

Which entry point do I have to select from the dropdown?

Splunk Enterprise Query (Scoped)

Code example:

{
  "name": "SplunkMpoolUsedMetric",
  "dataSourceConfig": {
    "query": "| mstats avg(\"spl.mlog.mpool.used\") WHERE \"index\"=\"_metrics\" span=60s chart=true"
  },
  "matches": { 
    "sourceType": { "type": "equals", "value": "Splunk Enterprise Organization" } 
  },
  "rowPath": [],
  "metadata": [
    { "name": "_time",                    "displayName": "Timestamp", "shape": "date",    "role": "timestamp" },
    { "name": "avg(spl.mlog.mpool.used)", "displayName": "Value",     "shape": "number",  "role": "value" }
  ]
}

name

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

dataSourceConfig Parameters

query

Mandatory

You can use mustache parameters in the query.

A mustache parameter is a dynamic value, the actual value will be inserted to replace the field in curly braces. For example, {{timeframe.start}} will insert the start time based on the timeframe configured within the tile, or {{name}} will insert the name of the object(s) in scope.

This data stream supplies scoped objects individually for mustache parameters. When there are multiple objects in scope this data source will send the query multiple times, once for each object. The results are then displayed together, for example in a single table.

You can use properties of objects and write them in between curly braces e.g {{name}} to use them as mustache parameters. Whenever you use mustache parameters, you need to use a scope of objects that contain the property you're referencing.

For example, if objects of type "host" have a property called name, you can use {{name}}. This will resolve {{name}} to the value of the name property of the different "host" objects used in the scope.

ignoreTimeFrame

Optional

You can add the ignoreTimeFrame parameter and set it to true if you want the query to ignore the current dashboard timeframe of a dashboard.
If ignoreTimeFrame is left out or set to false, the query will use the current dashboard timeframe.

The dashboard timeframe is the current timeframe setting for a dashboard. Users can change the dashboard timeframe to see data for a different time span, for example, instead of showing data from "the last 12 hours" it can be changed to show data from "the last 7 days".

Tiles can be configured to:

Use dashboard timeframe (default). For these tiles the data shown will change when the user changes the dashboard timeframe.
Use a fixed timeframe from the options available. These tiles show a clock icon and hovering shows the fixed timeframe configured. The data will not change when the dashboard timeframe is changed.

If the dashboard timeframe is unavailable, such as when all the tiles on that dashboard are using a fixed timeframe, then the button is disabled. Likewise, if a specific timeframe is unsupported then it is disabled in the timeframe picker.

Set a default dashboard timeframe

To set the default dashboard timeframe, click the pin icon

when using the dashboard timeframe picker. This sets the initial timeframe for all viewers of the dashboard, including shared dashboards.

Tip: Indicate with the name of a tile if the tile's timeframe can be changed. For example, naming a tile "Performance during the last week" tells users that this tile always shows data for the last week. Naming a tile just "Performance" indicates to users that changing the dashboard timeframe will change the data.

matches Parameters

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

metadata Parameter

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

Creating a custom data stream allows you to created a scoped data stream, i.e. a data stream that makes use of objects in the scope.

Which entry point do I have to select from the dropdown?

HTTP Request (scoped)

Each data stream uses an entry point, which can either be global (unscoped) or scoped, and this determines whether the data stream uses the tile scope.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Code example:

{
	"name": "scope example",
	"matches": "all",
	"dataSourceConfig": {
		"endpointPath": "post",
		"httpMethod": "post",
		"idSeparator": "], [",
		"headers": [
			{
			"key": "header1",
			"value": "header1Val"
			},
			{
			"key": "sourceIds",
			"value": "[{{sourceIds}}]"
			}
		],
		"expandInnerObjects": true
	},
	"rowPath": []
}

You should set the matches statement so that your custom data stream appears when you select the appropriate object types in the tile editor. You can use additional mustache constructs when using the scoped entry point: targetNodes, sourceId, sourceIds in selected dataSourceConfig parameters as shown below. The separator inserted between sourceId values in the sourceIds replacement string can be changed by setting idSeparator in dataSourceConfig.

Parameters

Mandatory

The internal name of the data stream. Can be used the refer to this data stream in a tile's JSON instead of using the data stream's internal ID.

`endpointPath`	Mandatory	(string) - the endpoint path relative to the data source config's base URL to be queried (supports mustache parameters)
`httpMethod`	Mandatory	(string) - "get" or "post"
`headers`	Optional	(array of key, value pairs) - any additional headers for this request (supports mustache parameters in `value` only)
`getArgs`	Optional	(array of key, value pairs) - any additional query args (supports mustache parameters in `value` only)
`postBody`	Optional	(string) – only if httpMethod is "post", a JSON string defining the body (supports mustache parameters)
`idSeparator`	Optional	(string) - this controls how the replacement value "sourceIds" is generated
`pathToData`	Optional	(string) - where in the returned payload, the desired data is to be found
`expandInnerObjects`	Optional	(boolean) - whether to expand inner objects and arrays in the desired data

Note: Defining the matches parameter is mandatory.

With the matches parameter you define for which objects the data stream will be shown in SquaredUp. It works like this:
When you configure a tile, you have to choose its scope. If this scope contains objects you specified here in the matches parameter, the data stream will be shown in SquaredUp under Data Streams. If the scope doesn't contain objects specified here, the data stream will be hidden.
This keeps things clean and simple since you'll only see the data stream when it's relevant for the scope you chose. As a best practice you should limit the data stream to objects that make sense for the specific use case of this data stream.

Format for matches:

//If you want to specify only one value of an object property//
"matches": {
	"ObjectProperty": {
		"type": "equals",
		"value": "ValueOfTheObjectProperty"
	}
},
 
//If you want to specify multiple values for an object property//
"matches": {
	"ObjectProperty": {
 		"type": "oneOf",
		"values": ["ValueOfTheObjectProperty1", "ValueOfTheObjectProperty2", "ValueOfTheObjectProperty3"]
	}
},

Example for limiting a data stream to objects:

If you are using multiple values for the object property, you can decide if you want the data stream to be visible for objects that match all of the criteria or at least one of the criteria.

Lets say you have two values you want objects to have in order for the data stream to be visible for them:

a SourceName property with the value AppDynamics (meaning objects that come from the AppDynamics data source)
a type property with the value app (meaning application objects)

If you want the data stream to be visible only for objects that match both of the criteria, your code would look like this:

"matches": {
    "sourceName": {
      "type": "equals",
      "value": "AppDynamics"
    },
    "type": {
      "type": "equals",
      "value": "app"
    }
  },

If you want the data stream to be visible for objects that match at least one of the criteria, your code would look like this:

"matches": [
    {
        "sourceName": {
            "type": "equals",
            "value": "AppDynamics"
        }
    },
    {
        "type": {
            "type": "equals",
            "value": "app"
        }
    }
]

Note: If you run into errors when configuring the matches parameter, check if you're dealing with a global entry point.

Data streams can be either global or scoped:

Global data streams are unscoped and return information of a general nature (e.g. "Get the current number of unused hosts").
A scoped data stream gets information relevant to the specific set objects supplied in the tile scope (e.g. "Get the current session count for these hosts").

Global entry points can't use specific objects in the matches parameter. You can identify global entry points by their name, they have "Global", "No Scope" or "Unscoped" added to their name.

There are two possible options for the matches parameter for global entry points:

`"matches": "none",`	When creating a tile, the Data Stream will be shown as long as no scope is selected. As soon as a scope is selected, the Data Stream will be hidden.
`"matches": "all",`	When creating a tile, the Data Stream will be shown as soon as any scope is selected.

Optional

SquaredUp expects data in table form, and here's where you define how the table with your return data will be structured.

The rowpath (Path to data) will tell SquaredUp which items you want to convert into rows.

Example:

Let's say your return data looks like this:

{
    "generalInfo": "some info",
    "results": [
        {
            "name": "object 1",
            "tags": [
                "tag 1",
                "tag 2",
                "tag 3"
            ]
        },
        {
            "name": "object 2",
            "tags": [
                "tag 1",
                "tag 4"
            ]
        }
    ]
}

Now it depends on what data you want to base your table on, do you want rows per object or per tag?

If you want to see which objects have which tags, your rowpath would be results, and your table would look like this:

`name`	`tags`
object 1	tag 1, tag 2, tag 3
object 2	tag 1, tag 4

If you want to turn each tag into a row and see to which objects they are applied, your rowpath would be results.tags, and your table would look like this:

`tags`	`name`
tag 1	object 1
tag 1	object 2
tag 2	object 1
tag 3	object 1
tag 4	object 2

As you can see in the example, each parameter gets turned into a column and the items of the parameter you chose as the rowpath will be turned into rows.

Optional, but recommended

The metadata parameters are used to describe columns in order to tell SquaredUp what to do with them. You can do multiple things with the metadata parameters:

Specify how SquaredUp should interpret the columns you return and - to an extent - how their content displayed. You do this by giving each column a shape.
The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link.
Filter out or just hide columns.
Only the columns you define in metadata will be returned in the results. This helps you to filter out columns you don't need. If you need the content of a column but don't want to display it, you can use the visible parameter.
Give columns a nicely readable display name.
Assign a specific role to columns .
The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role value to the column that contains the actual value you want to use in your visualization.

If you don't specify any metadata, all columns will be returned and SquaredUp will do its best to determine which columns should be used for which purpose. If you're returning pretty simple data, for example just a string and a number, this can work fine. But if you're returning two columns with numbers it gets trickier for SquaredUp to figure out which one is the value and which one is just an ID or some other number.

Parameters:

Before you start specifying metadata, leave them empty at first and get all the raw data with your new data stream once.

In order to do this, finish creating your custom data stream without metadata and create a tile with this data stream. The Table visualization will show you all raw data.

This will give you an overview about all columns and their content and help you decide which columns you need and what their shapes and roles should be. It's also essential for getting the correct column name to reference in the name parameter.

Use this information to go back to the data stream configuration and specifying the metadata.

`name`	Mandatory	Enter the name of the column you are referencing here. To find the name of a column, get the data from this data stream once without any metadata. See the tip above for how to do that. You'll see the column name when you hover over the column in the Table.
`displayName`	Optional	Here you can give the column a user-friendly name
`shape`	Recommended	The shape you assign to a column tells SquaredUp what the column contains (for example, a number, a date, a currency, a URL, etc.). Based on the shape SquaredUp decides how to display this column, for example to display a URL as a clickable link. Note: Please refer to the list of shapes below this table to see available shapes.
`role`	Recommended	The role you assign to a column tells SquaredUp the purpose of the column. For example, if you have two different columns that contain numbers, you need to assign the role `value` to the column that contains the actual value you want to use in your visualization. Note: Please refer to the list of roles below this table to see available roles.
`visible`	Optional	`true` or `false` Use this if you need a columns content but don't need to display the column itself. Example: Column A contains the full link to a ticket in your ticket system. Column B contains the ticket ID. You want to use the ticket ID as a label for the link, turning the long URL into a much nicer to read "Ticket 123". This is why you need the content of column B, to assign it as a label for column A. But since the URL is now displayed as the ticket ID, it would be redundant to still display column B. This is why you hide column B with `false`.

There are many different shapes you can use for your columns and the list of possible shapes gets expanded constantly:

Basic types, like: boolean, date, number, string
Currency types that get displayed with two decimal values and their currency symbol (for example $23,45), like: currency (generic currency), eur, gbp, usd
Data types, like: bytes, kilobytes, megabytes
Time types, like: seconds, milliseconds, timespan
The status type : state
Utility types, like:
customUnit
url (will be displayed as a link)

Tip:

Some shapes can be configured.

If a shape is configurable, you can edit how the shape displays data in SquaredUp.

See Configurable shapes

`id`	Used by data streams feeding the aggregate health stream to identify their Id column
`label`	A column containing user-friendly names. Line Graphs use this role to group data into series. so each label will get its own line in the Line Graph.
`link`	A column containing a link that can be used as a drilldown in Status Blocks.
`timestamp`	A column containing a date to use on the X -axis of a Line Graph.
`unitLabel`	A column containing user-friendly labels for data series, e.g. ‘Duration’. Line Graphs can use this role to label the Y-axis.
`value`	A column containing the numeric value you want to use in your visualization.

What is a Data Stream?

What is a Custom Data Stream?

How to add a custom Data Stream

Generic Schema Reference

Specific Entry Point Reference

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