Once you’ve integrated with AWS CloudWatch, you have access to all metrics for AWS Timestream, which is a time series database that was created with speed, scalability, and full management that makes it simple to store and analyze trillions of time series data points per day.

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To verify metrics are reporting, search for the metrics in the Metric details section of the Project Settings page.

The following table shows the Timestream metrics ingested by Lightstep.

Metric Name Unit Description
aws.timestream.system_errors count The total number of requests to Timestream that generate a SystemError during the specified time period.
aws.timestream.user_errors count The total numbeer of requests to Timestream that generate an InvalidRequest error during the specified time period.
aws.timestream.successful_request_latency milliseconds The number of successful requests to Timestream during the specified time period.
aws.timestream.cumulative_bytes_metered bytes The number of bytes that Timestream queries have scanned in total.
aws.timestream.magnetic_store_rejected_record_count count The numer of records written on magnetic storage devices that were asynchronously rejected.
aws.timestream.magnetic_store_rejected_upload_user_failures count The number of rejected record reports from magnetic stores that were not uploaded because of user error.
aws.timestream.magnetic_store_rejected_upload_system_failures count The number of rejected record reports from magnetic stores that were not uploaded because of system error.
aws.timestream.active_magnetic_store_partitions count The number of magnetic store partitions that are currently actively ingesting data.
aws.timestream.magnetic_store_pending_records_latency milliseconds The oldest write to a magnetic store that cannot be queried.