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Kubernetes resource management

Kubernetes resource management encompasses the mechanisms used to monitor, allocate, and constrain compute resources within a cluster, such as CPU and memory.^[400-devops__06-Kubernetes__k8s-ithelp__Day1__README.md]

These management practices are essential for maintaining cluster stability and enabling features like [[AutoScaling]].^[400-devops__06-Kubernetes__k8s-ithelp__Day1__README.md]

Core Concepts

Resource management in Kubernetes relies on several key components to organize and control workload consumption^[400-devops__06-Kubernetes__k8s-ithelp__Day1__README.md]:

  • Request/Limit: These are the fundamental parameters for controlling resource usage.
  • Namespace: A logical partitioning mechanism to organize and isolate cluster resources.
  • LimitRange: A policy used to constrain resource allocations (CPU or memory) per Pod or Container within a namespace.
  • Metrics-Server: A cluster-wide aggregator of resource usage data required for monitoring and scaling decisions^[400-devops__06-Kubernetes__k8s-ithelp__Day1__README.md:26-28].

Sources

^[400-devops__06-Kubernetes__k8s-ithelp__Day1__README.md]