Cloud services like S3, KMS, and SES often handle important parts of an application’s request path, so their performance can affect application latency and reliability. Tracking request volume, latency, and errors for these services makes it easier to identify which cloud dependencies are slowing down requests or causing failures.
Trace0 now collects metrics for calls your service makes to these managed cloud services, alongside the rest of your service metrics.
Calls made through the AWS SDK are captured automatically, and for each service you can see request rate, latency, and error rate, broken down by operation.
To view metrics for a cloud service used by one of your services, open the Metrics section and click View more for the service. The cloud services used by the service appear in the toggle at the top of the page. The examples below show metrics for Amazon S3 and KMS:
The metrics include request count, requests per second, latency, and error rate, all broken down by operation, such as GetObject for S3, Decrypt for KMS, etc.
See our Cloud Service Metrics user guide for full details.
Available via MCP
Cloud service metrics are also available to your AI agents through the Trace0 MCP server get_cloud_service_metrics tool.