Handling Resource Issues
Explore how to manage resource allocation in Kubernetes clusters, including setting CPU limits and requests to avoid errors and applying horizontal pod autoscaling to prevent overload. Understand strategies to ensure efficient resource use and maintain application performance by balancing load across pods.
We'll cover the following...
One of the significant issues in a cluster environment is either resources not matching the application requirement or an overload on a particular pod. This leads to poor performance of an application. When resources are regulated or properly shared across various pods, there’s a level of control regarding the resources, and we can make better use of the application.
Resource limiting
We can control various resources in our environment by placing a limit on each deployment hosting those applications. In the pod.yaml file below, we have a request of "300m" while the limit specified ...