Agent skill
docker-production
Deploy Docker containers to production with monitoring, logging, and health checks
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/devops/docker-production
SKILL.md
Docker Production Skill
Master production-grade Docker deployments with monitoring, logging, health checks, and resource management.
Purpose
Configure containers for production with proper observability, resource limits, and deployment strategies.
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| monitoring | enum | No | prometheus | prometheus/datadog |
| logging | enum | No | json-file | json-file/loki/elk |
| replicas | number | No | 1 | Number of replicas |
Production Configuration
Health Checks
dockerfile
HEALTHCHECK --interval=30s --timeout=3s --retries=3 --start-period=60s \
CMD curl -f http://localhost:3000/health || exit 1
yaml
# Compose health check
services:
app:
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 60s
Resource Limits
yaml
services:
app:
deploy:
resources:
limits:
cpus: '1'
memory: 1G
reservations:
cpus: '0.5'
memory: 512M
restart_policy:
condition: on-failure
delay: 5s
max_attempts: 3
Logging Configuration
yaml
services:
app:
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
labels: "app,environment"
Monitoring Stack
Prometheus + Grafana
yaml
services:
prometheus:
image: prom/prometheus:latest
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
ports:
- "9090:9090"
grafana:
image: grafana/grafana:latest
ports:
- "3001:3000"
environment:
GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_PASSWORD}
cadvisor:
image: gcr.io/cadvisor/cadvisor:latest
volumes:
- /:/rootfs:ro
- /var/run:/var/run:ro
- /sys:/sys:ro
- /var/lib/docker/:/var/lib/docker:ro
ports:
- "8080:8080"
Prometheus Config
yaml
# prometheus.yml
global:
scrape_interval: 15s
scrape_configs:
- job_name: 'docker-containers'
docker_sd_configs:
- host: unix:///var/run/docker.sock
Deployment Strategies
Rolling Update (Zero Downtime)
yaml
deploy:
update_config:
parallelism: 1
delay: 10s
failure_action: rollback
order: start-first
rollback_config:
parallelism: 1
delay: 10s
Blue-Green
bash
# Deploy new version
docker compose -p myapp-green up -d
# Switch traffic (update nginx/load balancer)
# Remove old version
docker compose -p myapp-blue down
Error Handling
Common Errors
| Error | Cause | Solution |
|---|---|---|
unhealthy |
Health check failing | Check endpoint, increase start_period |
OOMKilled |
Memory exceeded | Increase limit or optimize |
restart loop |
App crash | Check logs, fix application |
Recovery
- Check logs:
docker logs --tail 100 <container> - Verify health:
docker inspect --format='{{.State.Health.Status}}' - Rollback if needed
Troubleshooting
Debug Checklist
- Health check passing?
- Resources sufficient?
docker stats - Logs showing errors?
- Metrics collecting?
Diagnostics
bash
# Resource usage
docker stats --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}"
# Restart count
docker inspect --format='{{.RestartCount}}' <container>
# Recent events
docker events --filter 'container=<name>' --since 1h
Usage
Skill("docker-production")
Related Skills
- docker-debugging
- docker-ci-cd
- docker-security
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