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What metrics should be collected from Docker containers?
sobes.tech AI
Answer from AI
- CPU Usage: Shows the container's CPU load. Important for understanding resource consumption and identifying bottlenecks.
- Memory Usage: Tracks the amount of RAM used by the container. Critical for preventing memory exhaustion and OOM errors.
- Network I/O: Incoming and outgoing network traffic of the container. Helps assess network load and interaction with other services.
- Disk I/O: Read and write speed on the container's disk. Necessary for analyzing disk operation performance.
- Restart Count: Number of container restarts. A high number indicates application instability or configuration issues.
- Container Status: Current state of the container (running, stopped, exited). Allows quick detection of inactive or failed containers.
- Log Count/Rate: Frequency of logs from the container. May indicate increased activity or errors.
- Image ID & Tag: Identifier and tag of the Docker image used. Important for version tracking and deployment management.
- Container ID: Unique identifier of the container. For precise identification and metric correlation.
- Label Data: Metadata attached to the container (e.g., application name, environment). Useful for filtering and grouping metrics.