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Amazon AppStream integration

New Relic integrates with Amazon Web Services (AWS) for reporting your Amazon AppStream metrics and other data to New Relic.

This document explains how to activate the integration, and describes the data reported.

Features

Collect and send telemetry data to New Relic from your AppStream services using our integration. Monitor your services, query incoming data, and build dashboards to observe everything at a glance.

Activate integration

This integration is available through CloudWatch Metric Streams.

To enable this integration, see how to connect AWS services to New Relic via CloudWatch Metric Streams.

Find and use data [find-data]

To find your integration's metrics, go to one.newrelic.com > Metrics and events and filter by aws.appstream.

Additionally, you can find the entities associated with AppStream by going to one.newrelic.com and searching for appstream.

Metric data

This New Relic infrastructure integration collects the following Amazon AppStream data:

AppStream Metric data

Metric (min, max, average, count, sum)

Unit

Description

ActualCapacity

Count

The total number of instances that are available for streaming or are currently streaming.

AvailableCapacity

Count

The number of idle instances currently available for user sessions.

CapacityUtilization

Percent

The percentage of instances in a fleet that are being used, using the following formula.

DesiredCapacity

Count

The total number of instances that are either running or pending.

InUseCapacity

Count

The number of instances currently being used for streaming sessions.

PendingCapacity

Count

The number of instances being provisioned by AppStream 2.0.

RunningCapacity

Count

The total number of instances currently running.

InsufficientCapacityError

Count

The number of session requests rejected due to lack of capacity.

All imported data has one dimension: Fleet

Create alerts

You can set up to notify you if there are any changes. For example, you can set up an alert to notify relevant parties of critical or fatal errors.

Learn more about creating alerts here.

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