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 Settings page.
The following table shows the Timestream metrics ingested by Cloud Observability.
| 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. |
See also
Updated Dec 7, 2022