Docker Opsv1.0.2

A backend engineer notices a service container in a restart loop. They use docker logs and docker inspect to identify an OOM kill (exit 137), adjust memory limits in docker-compose.yml, and redeploy. The skill's health and log inspection scripts accelerate root cause analysis.

A DevOps engineer integrates the Docker cleanup script into their CI pipeline to automatically prune unused images, containers, and build cache after each build, preventing disk exhaustion on build agents. The dry-run mode helps preview deletions safely.

A team lead uses docker compose up to spin up a full-stack application (database, backend, frontend) locally. New hires follow the Quick Start and Compose workflows to get running quickly, and use the health script to verify all services are healthy.

A solo developer runs a small SaaS product on a VPS using Docker Compose. They rely on log analysis to troubleshoot issues, volume management for persistent data, and network troubleshooting to fix DNS resolution between containers.

A data engineer uses Docker to run a local PostgreSQL and Redis for testing ETL pipelines. They frequently inspect volume contents, clean up old volumes, and monitor resource usage to ensure the host machine doesn't run out of memory.

A company offers a free CLI tool that wraps Docker commands for cleanup, health checks, and log analysis, with a paid enterprise version that adds team collaboration, audit logs, and policy enforcement. The skill could be a foundational component of the free tool.

A service that abstracts away Docker complexity for small teams, using the skill's scripts internally to automate cleanup, health monitoring, and troubleshooting. Customers pay a monthly fee per container or per node.

A consultancy uses the Docker Ops skill as a teaching aid in workshops and as a tool during client engagements to debug and optimize containerized environments. They charge for training sessions and hourly consulting.