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How to Set Kubernetes Resource Requests and Limits

How to Set Kubernetes Resource Requests and Limits

Kubernetes is an open-source container orchestration tool that helps manage containerized applications. One of the key features of Kubernetes is its ability to manage resource allocation for containers. Resource requests and limits are two important settings that can be configured for a container in Kubernetes to ensure efficient resource allocation.

In this article, we will go over what resource requests and limits are and how to set them for your Kubernetes application.

Understanding Resource Requests and Limits

Resource requests and limits are two settings that can be applied to a container in Kubernetes to specify how much CPU and memory resources the container requires. These settings help Kubernetes allocate resources efficiently and ensure that containers have the resources they need to run properly.

Resource requests are the minimum amount of CPU and memory that a container requires to run. Kubernetes will allocate these resources to the container as a guarantee. On the other hand, resource limits are the maximum amount of CPU and memory that a container can use. If a container tries to exceed its resource limit, Kubernetes will throttle the container and may even terminate it.

Setting Resource Requests and Limits

To set resource requests and limits in Kubernetes, you need to modify the container spec in the deployment or pod manifest file. Here are the steps to do that:

  1. Open your deployment or pod manifest file in a text editor.
  2. Locate the spec section of the file.
  3. Under the spec section, add a resources section.
  4. In the resources section, add a requests and a limits section for CPU and memory resources.
  5. Specify the desired amount of CPU and memory resources for the container in each section.

Here is an example of what the resources section in a deployment manifest file might look like:

spec:
replicas: 1
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-container
image: my-image
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
cpu: 200m
memory: 512Mi

In the example above, we have set a resource request of 100 milli CPUs and 256 megabytes of memory for the container. We have also set a limit of 200 milli CPUs and 512 megabytes of memory. This means that Kubernetes will allocate at least 100m CPU and 256Mi memory to the container, and it will not allow the container to exceed 200m CPU or 512Mi memory.

You can adjust the values in the requests and limits sections to suit your application's needs. Be careful not to set the limits too high, as this can lead to resource contention and affect the performance of other containers running on the same node.

Verifying Resource Requests and Limits

Once you have set the resource requests and limits for your container, you can verify them by running the following command:

kubectl describe pod <pod-name>

This command will show you the resource requests and limits for each container in the pod.

Resource requests and limits are important settings that can be used to manage resource allocation for containers in Kubernetes. By setting these values appropriately, you can ensure that your containers have the resources they need to run efficiently and avoid resource contention. Remember to monitor your application's resource usage regularly to ensure that your resource requests and limits are set correctly.

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  • That's it for this post. Keep practicing and have fun. Leave your comments if any.

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