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Best Claude Code skills for observability & monitoring on Docker (August 2026)

2 curated Claude Code skills that handle observability & monitoring on Docker projects. Install commands, configs, and copy-paste setup, refreshed August 2026.

2 items matching Docker & Observability & Monitoring.

Senior Ml Engineer
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infras…
kubernetesdockerperformancedeployment+5
Model Deployment
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
kubernetesdockerdeploymentmonitoring+2

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Docker for Code ReviewDocker for TestingDocker for SecurityDocker for Git WorkflowsDocker for DocumentationDocker for DebuggingDocker for PerformanceDocker for Deployment & CI/CDDocker for DatabasesDocker for API DevelopmentDocker for RefactoringDocker for Frontend DevelopmentDocker for Codebase OnboardingDocker for AI & Agent DevelopmentDocker for Mobile DevelopmentDocker for RefactoringDocker for Frontend DevelopmentDocker for Codebase Onboarding