Amazon Timestream integration

New Relic integrates with Amazon Web Services (AWS) for reporting your Amazon Timestream 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 Amazon Timestream databases 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

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

Entity	Provider
Database	`cloudwatch-metric-streams`
Table	`cloudwatch-metric-streams`

Metric data

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

Timestream Database Metric data

Metric (min, max, average, count, sum)	Unit	Description
`SystemErrors`	Count	The requests to Timestream that generate a SystemError during the specified time period.
`UserErrors`	Count	Requests to Timestream that generate an InvalidRequest error during the specified time period.
`SuccessfulRequestLatency`	Milliseconds	The successful requests to Timestream during the specified time period.
`CumulativeBytesMetered`	Bytes	The amount of data scanned by queries sent to Timestream, in byte.
`MagneticStoreRejectedRecordCount`	Count	The number of magnetic store written records that were rejected asynchronously.
`MagneticStoreRejectedUploadUserFailures`	Count	The number of magnetic store rejected record reports that were not uploaded due to user errors.
`MagneticStoreRejectedUploadSystemFailures`	Count	The number of magnetic store rejected record reports that were not uploaded due to system errors.
`ActiveMagneticStorePartitions`	Count	The number of magnetic store partitions actively ingesting data at a given time.
`MagneticStorePendingRecordsLatency`	Milliseconds	The oldest write to a magnetic store that is not available for query.
`MemoryCumulativeBytesMetered`	Bytes	The amount of data stored in memory store, in bytes.
`MagneticCumulativeBytesMetered`	Bytes	The amount of data stored in magnetic store, in bytes.
`CumulativeBytesMetered`	Bytes	The amount of data scanned by queries sent to Timestream, in bytes.

Timestream Table Metric data

Metric (min, max, average, count, sum)	Unit	Description
`SystemErrors`	Count	The requests to Timestream that generate a SystemError during the specified time period.
`UserErrors`	Count	Requests to Timestream that generate an InvalidRequest error during the specified time period.
`SuccessfulRequestLatency`	Milliseconds	The successful requests to Timestream during the specified time period.
`MagneticStoreRejectedRecordCount`	Count	The number of magnetic store written records that were rejected asynchronously.
`MagneticStoreRejectedUploadUserFailures`	Count	The number of magnetic store rejected record reports that were not uploaded due to user errors.
`MagneticStoreRejectedUploadSystemFailures`	Count	The number of magnetic store rejected record reports that were not uploaded due to system errors.
`MagneticStorePendingRecordsLatency`	Milliseconds	The oldest write to a magnetic store that is not available for query.

All imported data has these dimensions: DatabaseName, Operation, and TableName.

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.