A Docker monitoring stack using cAdvisor, InfluxDB, and Grafana with pre-built dashboards for container metrics.
Docker Monitoring is a monitoring stack specifically designed for Docker environments that combines cAdvisor for metrics collection, InfluxDB for time-series data storage, and Grafana for visualization. It solves the problem of setting up comprehensive container monitoring by providing pre-configured dashboards and deployment scripts that work immediately after setup.
DevOps engineers, system administrators, and developers who need to monitor Docker container performance, resource utilization, and system health in development or production environments.
Developers choose this solution because it provides a complete, pre-configured monitoring stack with production-ready Grafana dashboards, eliminating the need to build monitoring infrastructure from scratch while maintaining the flexibility to customize queries and visualizations.
Docker-Monitoring based on Cadvisor, InfluxDB, and Grafana
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Includes ready-to-use Grafana dashboards in JSON format, as shown in the README's Docker_Monitoring.png and JSON files, eliminating the need for manual dashboard creation.
The docker-compose.yml file allows for single-command setup, making it easy to deploy the entire monitoring stack quickly, as emphasized in the key features.
Integrates cAdvisor to automatically collect detailed container metrics such as CPU, memory, and network usage, providing comprehensive monitoring out of the box.
Uses InfluxDB for efficient time-series data storage, enabling trend analysis and long-term performance tracking, as mentioned in the key features.
The README is minimal, primarily directing users to an external article for setup instructions, which can slow down adoption and troubleshooting for newcomers.
Designed specifically for Docker containers, it lacks support for other container runtimes or broader system monitoring, limiting its applicability in mixed environments.
Running InfluxDB and Grafana in containers adds significant memory and CPU overhead, which might not be feasible for small-scale or low-resource deployments.