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Kubernetesdevops~30 mins

CPU requests and limits in Kubernetes - Mini Project: Build & Apply

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CPU Requests and Limits in Kubernetes
📖 Scenario: You are managing a Kubernetes cluster for a small web application. To ensure the application runs smoothly without using too many resources, you need to set CPU requests and limits for the application pod.
🎯 Goal: Learn how to define CPU requests and limits in a Kubernetes pod configuration to control resource usage effectively.
📋 What You'll Learn
Create a pod configuration with a container named webapp
Set the CPU request to 250m (250 millicores)
Set the CPU limit to 500m (500 millicores)
Use the correct YAML structure for resource requests and limits
💡 Why This Matters
🌍 Real World
Setting CPU requests and limits is essential in Kubernetes to ensure applications get enough resources without overloading the cluster.
💼 Career
Understanding resource management in Kubernetes is a key skill for DevOps engineers and cloud administrators.
Progress0 / 4 steps
1
Create the basic pod YAML skeleton
Create a YAML file with a pod named cpu-demo-pod and a container named webapp using the image nginx. Include the required fields: apiVersion, kind, metadata, and spec with the container definition.
Kubernetes
Need a hint?

Start with the basic pod structure and container details.

2
Add CPU requests to the container
Add a resources section under the webapp container. Inside resources, add requests with cpu: "250m" to request 250 millicores of CPU.
Kubernetes
Need a hint?

Indent resources under the container, then add requests with the CPU value.

3
Add CPU limits to the container
Extend the resources section by adding limits with cpu: "500m" to limit CPU usage to 500 millicores.
Kubernetes
Need a hint?

Under resources, add limits with the CPU limit value.

4
Display the final pod YAML
Print the complete YAML configuration for the pod named cpu-demo-pod with the container webapp that has CPU requests and limits set.
Kubernetes
Need a hint?

Show the full YAML text as the output.