https://github.com/mukund-p/kubernetes-deployment-task
Task-5 Simple Kubernetes deployment with YAML for pods, services, and scaling.
https://github.com/mukund-p/kubernetes-deployment-task
deployment devops k8s kubernetes pods services yaml
Last synced: 2 months ago
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Task-5 Simple Kubernetes deployment with YAML for pods, services, and scaling.
- Host: GitHub
- URL: https://github.com/mukund-p/kubernetes-deployment-task
- Owner: mukund-p
- Created: 2025-05-19T17:07:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-19T17:47:38.000Z (about 1 year ago)
- Last Synced: 2025-06-07T19:06:40.794Z (about 1 year ago)
- Topics: deployment, devops, k8s, kubernetes, pods, services, yaml
- Language: Python
- Homepage:
- Size: 114 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Kubernetes Deployment with Minikube
## Task-5
---
This repository contains the deployment of a Python-based web application using **Kubernetes** on a local **Minikube** cluster. The app serves a static HTML page and demonstrates core Kubernetes concepts like **Deployments**, **Services**, and **Pod scaling**.
---
## Files Included
├── screenshots/
├── Dockerfile
├── index.html
├── deployment.yaml
├── service.yaml
└── app.py
---
## Tools & Technologies
- Docker
- Kubernetes
- Minikube
- Python 3.9
- kubectl
---
## How to Run This Project
### 1. Start Minikube
```bash
minikube start
```
### 2. Build the Docker Image
```bash
docker build -t my-kube-app:v1 .
```
### 3. Deploy the Application to Kubernetes
```bash
kubectl apply -f deployment.yaml
```
### 4. Expose the Deployment using a LoadBalancer Service
```bash
kubectl apply -f service.yaml
```
### 5. Access the Web Application
```bash
minikube service my-kube-app-service
```
**Expected output in browser**:
```
Hello, Kubernetes!
```
---
## Kubernetes Commands Used
```bash
kubectl get pods
kubectl get svc
kubectl describe pod
kubectl logs
kubectl scale deployment my-kube-app --replicas=3
```
---
## Screenshots
### 1. Terminal Output :
### 2. Browser Output :
---
# 📘 Interview Questions & Answers – Kubernetes Basics
### 1. What is Kubernetes?
**Kubernetes** is an open-source container orchestration platform. It automates deployment, scaling, and management of containerized applications.
---
### 2. What is the role of kubelet?
The **kubelet** is an agent that runs on each node in the Kubernetes cluster. It ensures that containers described in PodSpecs are running and healthy.
---
### 3. Explain pods, deployments, and services.
- **Pod**: The smallest deployable unit in Kubernetes. It can contain one or more containers.
- **Deployment**: A controller that manages ReplicaSets and ensures the desired number of pods are running.
- **Service**: An abstraction that defines a logical set of pods and a policy to access them.
---
### 4. How do you scale in Kubernetes?
Scaling is done by:
- **Manual scaling**: `kubectl scale deployment --replicas=`
- **Auto-scaling**: Using Horizontal Pod Autoscaler based on CPU or custom metrics.
---
### 5. What is a namespace?
A **namespace** provides a scope for Kubernetes objects. It is useful for dividing cluster resources among multiple users or teams.
---
### 6. Difference between ClusterIP, NodePort, LoadBalancer.
| Type | Description |
|--------------|-------------|
| ClusterIP | Default; accessible only within the cluster. |
| NodePort | Exposes the service on each Node’s IP at a static port. |
| LoadBalancer | Exposes the service externally using a cloud provider's load balancer. |
---
### 7. What are config maps?
**ConfigMaps** allow you to decouple configuration artifacts from image content. They are used to store non-confidential configuration data as key-value pairs.
---
### 8. How do you perform rolling updates?
**Rolling updates** are done using Deployments. They gradually replace old pod versions with new ones using:
```bash
kubectl set image deployment/ =
```
This ensures zero downtime during application updates.