In addition to CPU and memory usage, other resource usage statistics that can be monitored include:
- Disk I/O: Monitor read and write operations on disk to identify bottlenecks.
- Network I/O: Track incoming and outgoing network traffic to assess bandwidth usage.
- GPU Usage: For applications utilizing graphics processing units, monitor GPU memory and compute usage.
- Pod and Node Status: Check the health and status of pods and nodes in a Kubernetes cluster.
- Container Resource Limits: Monitor resource limits set for containers to ensure they are not exceeded.
- Latency Metrics: Measure response times for applications to identify performance issues.
- Error Rates: Track the number of errors occurring in applications to detect issues early.
These metrics can help in optimizing performance and ensuring efficient resource utilization in your systems.
