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 Cloud Observability.
|aws.timestream.system_errors||count||The total number of requests to Timestream that generate a
|aws.timestream.user_errors||count||The total numbeer of requests to Timestream that generate an
|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.|
Updated Dec 7, 2022