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aws-observability

Apache-2.0Updated on Nov 11, 20263,464GitHub starsIncludes scripts

A large aws-core skill for monitoring and investigating AWS workloads with Amazon CloudWatch and CloudWatch Omni. It first checks whether a request is about observability and which of the two products applies.

InstallRepository Checked on Nov 13, 2026

What the skill teaches

A large aws-core skill for monitoring and investigating AWS workloads with Amazon CloudWatch and CloudWatch Omni. It first checks whether a request is about observability and which of the two products applies. For classic CloudWatch it covers Logs Insights, metric, composite and anomaly alarms, custom metrics and embedded metric format, dashboards, X-Ray and ADOT tracing, synthetic canaries, CloudTrail, Application Signals and Dynamic Instrumentation. For CloudWatch Omni it covers SQL over logs and traces, PromQL, dashboards, alerts with Slack notifications, root-cause work on the context graph and evaluating AI agents from traces. It includes Python scripts for Dynamic Instrumentation.

Capabilities

  • Write CloudWatch Logs Insights queries and alarms
  • Set up X-Ray and ADOT tracing
  • Query logs and traces in CloudWatch Omni
  • Investigate root causes on the Omni context graph
  • Evaluate AI agent quality from traces

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