Docker Metrics Monitor

The Docker Metrics Monitor provides a repeatable, scalable approach to observe containerized workloads by integrating Prometheus and Grafana. It collects container-level metrics such as CPU usage, memory consumption, disk and network I/O, and exposes data through Prometheus scrapes. The solution is aimed at DevOps, SREs, and platform teams responsible for Docker-based deployments, providing visibility that supports uptime, capacity planning, and performance tuning across single hosts and multi-host clusters.\n\nConceptually, the tool configures Prometheus to pull metrics from Docker endpoints (with optional cAdvisor) and ships Grafana dashboards that surface per-container and per-host views. It supports multi-host service discovery and labeled metrics to enable cross-cluster filtering. Alerts can be defined for sustained high usage, restarts, or abnormal rest times, ensuring operators receive timely notifications while dashboards reflect current state.\n\nThis approach delivers business value by reducing MTTR, accelerating troubleshooting, and enabling consistent monitoring patterns across environments. Prebuilt dashboards and scrape templates accelerate onboarding, while exportable configurations simplify replication in new environments. Users can scale from a single host to a fleet of containers with minimal reconfiguration and without duplicating effort.\n\nUse cases include onboarding new Docker hosts, validating deployments after upgrades, capacity planning for peak traffic, and ongoing health checks in development, staging, and production. The tool focuses on container and host metrics, complementing broader APM and Kubernetes tooling.