Kubernetes Nodes-Monitor CPU and Memory Usage
It helps in understanding how resources are utilized and whether nodes are under or over-utilized
1. Why We Need This Use Case
Monitoring CPU and memory usage provides:
Performance Insights: Helps in understanding how resources are utilized and whether nodes are under or over-utilized.
Proactive Management: Identifies potential issues before they impact applications.
Resource Optimization: Enables efficient resource allocation and scaling decisions.
Capacity Planning: Assists in forecasting resource needs and planning upgrades.
2. When We Need This Use Case
This use case is necessary when:
Managing a Production Environment: You need to ensure the stability and performance of applications.
Scaling Applications: You want to make informed decisions about scaling nodes or pods.
Optimizing Costs: You aim to optimize cloud costs by avoiding over-provisioning.
Troubleshooting Issues: You need to diagnose performance issues related to resource usage.
