Handling Resource Issues
Learn how to place limits on resources and scale workloads for an application’s optimal performance.
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 is "200m"
. The "m"
unit represents milliCPU units. We illustrate it below with the pod.yaml
file.
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