Task 2: Kubernetes Deployment

This folder contains all the necessary files to deploy the Task API application to Kubernetes.

Prerequisites

• Docker Desktop with Kubernetes enabled or Minikube
• kubectl command-line tool
• Java 17 and Maven (for building the application)

Deployment Steps

1. Build the Docker Image

# Navigate to the task-api directory
cd ../task-api

# Build the application
./mvnw clean package

# Build the Docker image
docker build -t task-api:1.0.0 .

2. Deploy to Kubernetes

# Create the MongoDB persistent volume and claim
kubectl apply -f mongodb-pv.yaml

# Deploy MongoDB
kubectl apply -f mongodb-deployment.yaml

# Deploy the Task API
kubectl apply -f task-api-deployment.yaml

# Verify the deployments
kubectl get pods
kubectl get services

3. Access the Application

The Task API is exposed as a NodePort service. To access it:

# Get the NodePort assigned to the task-api service
kubectl get svc task-api

# Access the API (replace <NODE_PORT> with the actual port)
# If using Docker Desktop: http://localhost:<NODE_PORT>
# If using Minikube: http://$(minikube ip):<NODE_PORT>

Testing the Application

Create a Task

curl -X PUT http://localhost:<NODE_PORT>/tasks \
  -H "Content-Type: application/json" \
  -d '{
    "id": "123",
    "name": "Print Hello",
    "owner": "John Smith",
    "command": "echo Hello World!"
  }'

Execute a Task

curl -X PUT http://localhost:<NODE_PORT>/tasks/123/execute

This will create a new Kubernetes pod to run the command and capture its output.

Get All Tasks

curl http://localhost:<NODE_PORT>/tasks

Get a Task by ID

curl http://localhost:<NODE_PORT>/tasks?id=123

Search Tasks by Name

curl http://localhost:<NODE_PORT>/tasks/search?name=Hello

Delete a Task

curl -X DELETE http://localhost:<NODE_PORT>/tasks/123

Implementation Details

• The Task API uses environment variables for MongoDB connection
• MongoDB data is stored in a persistent volume
• The Task API creates Kubernetes pods to execute commands
• Both services run in separate pods within the cluster