# Kubernetes (K8S) Core Resource Management

## Introduction
Kubernetes is a powerful container orchestration tool that helps manage and deploy applications at scale. One of the key aspects of Kubernetes is resource management, which involves allocating resources such as CPU and memory to pods effectively. In this article, we will guide you through the process of K8S core resource management.

## Steps to K8S Core Resource Management
Let's break down the process of K8S core resource management into steps:

| Step | Description |
|------|-------------|
| 1 | Define Resource Requests and Limits |
| 2 | Deploy Pod with Resource Constraints |
| 3 | Monitor Resource Usage |

## Step 1: Define Resource Requests and Limits
In this step, we will define the resource requests and limits for the pods. Resource requests specify the minimum amount of resources needed for a pod, while limits specify the maximum amount of resources that a pod can use.

```yaml
apiVersion: v1
kind: Pod
metadata:
name: example-pod
spec:
containers:
- name: example-container
image: nginx
resources:
requests:
memory: "64Mi"
cpu: "250m"
limits:
memory: "128Mi"
cpu: "500m"
```

In the above YAML configuration, we have defined resource requests and limits for a pod. The pod requires a minimum of 64Mi memory and 250m CPU, with a maximum of 128Mi memory and 500m CPU.

## Step 2: Deploy Pod with Resource Constraints
Next, we will deploy the pod with the defined resource constraints using the `kubectl apply` command.

```bash
kubectl apply -f example-pod.yaml
```

This command will create the pod with the specified resource requests and limits. You can verify the resource settings by running `kubectl describe pod example-pod`.

## Step 3: Monitor Resource Usage
To monitor the resource usage of the pod, you can use the `kubectl top pod` command.

```bash
kubectl top pod example-pod
```

This will display the CPU and memory usage of the pod. You can also use `kubectl top node` to view the resource usage at the node level.

By following these steps, you can effectively manage and allocate resources in Kubernetes, ensuring optimal performance of your applications.

In conclusion, Kubernetes core resource management is essential for maintaining the stability and efficiency of your applications. By defining resource requests and limits, deploying pods with resource constraints, and monitoring resource usage, you can effectively manage resources in a Kubernetes cluster. Happy coding! 🚀

## Summary
- Define resource requests and limits for pods
- Deploy pods with resource constraints
- Monitor resource usage
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