ecs-observability

ecs-observability is an Observability & incident response skill for AI agents, published by aws-samples in the sample-apex-skills repository on GitHub. Skillspace rates ecs-observability C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Advise on Amazon ECS observability architecture — select the logs/metrics/traces stack (CloudWatch, Container Insights, X-Ray, ADOT/OpenTelemetry, Managed Prometheus/Grafana, FireLens to third-party) by compliance needs, existing tooling, scale, budget, and launch types (EC2, Fargate, Managed Instances, ECS Anywhere). Use for "how should we monitor our ECS services", "Container Insights or Prometheus for ECS", "are we losing ECS container logs", "set up tracing on Fargate", "ECS logging best practices", "Datadog vs CloudWatch for ECS", "GPU metrics for ECS tasks", or "plan live-debug access to an ECS task". Any ECS logging, metrics, tracing, or alerting design question qualifies even if "observability" is never said. Skip for EKS/Kubernetes (eks-* skills), deployment mechanics/CI-CD/deploy-failure diagnosis (ecs-devops; deploy-failure alerting stays here), security posture beyond observability audit logging (ecs-security), live-estate audits (ecs-operation-review), and FinOps audits of…

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

35

Unproven: rated by static analysis only, not yet compared head-to-head.

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