cicd added

.github/workflows/main.yaml

@@ -0,0 +1,98 @@
+name: workflow
+
+on:
+  push:
+    branches:
+      - main
+    paths-ignore:
+      - 'README.md'
+
+permissions:
+  id-token: write
+  contents: read
+
+jobs:
+  integration:
+    name: Continuous Integration
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Code
+        uses: actions/checkout@v3
+
+      - name: Lint code
+        run: echo "Linting repository"
+
+      - name: Run unit tests
+        run: echo "Running unit tests"
+
+  build-and-push-ecr-image:
+    name: Continuous Delivery
+    needs: integration
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Code
+        uses: actions/checkout@v3
+
+      - name: Install Utilities
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y jq unzip
+      - name: Configure AWS credentials
+        uses: aws-actions/configure-aws-credentials@v1
+        with:
+          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          aws-region: ${{ secrets.AWS_REGION }}
+
+      - name: Login to Amazon ECR
+        id: login-ecr
+        uses: aws-actions/amazon-ecr-login@v1
+
+      - name: Build, tag, and push image to Amazon ECR
+        id: build-image
+        env:
+          ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
+          ECR_REPOSITORY: ${{ secrets.ECR_REPOSITORY_NAME }}
+          IMAGE_TAG: latest
+        run: |
+          # Build a docker container and
+          # push it to ECR so that it can
+          # be deployed to ECS.
+          docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
+          docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
+          echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
+          
+          
+  Continuous-Deployment:
+    needs: build-and-push-ecr-image
+    runs-on: self-hosted
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+
+      - name: Configure AWS credentials
+        uses: aws-actions/configure-aws-credentials@v1
+        with:
+          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
+          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          aws-region: ${{ secrets.AWS_REGION }}
+
+      - name: Login to Amazon ECR
+        id: login-ecr
+        uses: aws-actions/amazon-ecr-login@v1
+
+
+      - name: Pull latest images
+        run: |
+         docker pull ${{secrets.AWS_ECR_LOGIN_URI}}/${{ secrets.ECR_REPOSITORY_NAME }}:latest
+         
+      # - name: Stop and remove container if running
+      #   run: |
+      #    docker ps -q --filter "name=cnncls" | grep -q . && docker stop cnncls && docker rm -fv cnncls
+
+      - name: Run Docker Image to serve users
+        run: |
+         docker run -d -p 8080:8080 --name=cnncls -e 'AWS_ACCESS_KEY_ID=${{ secrets.AWS_ACCESS_KEY_ID }}' -e 'AWS_SECRET_ACCESS_KEY=${{ secrets.AWS_SECRET_ACCESS_KEY }}' -e 'AWS_REGION=${{ secrets.AWS_REGION }}'  ${{secrets.AWS_ECR_LOGIN_URI}}/${{ secrets.ECR_REPOSITORY_NAME }}:latest
+      - name: Clean previous images and containers
+        run: |
+         docker system prune -f

Dockerfile

@@ -0,0 +1,9 @@
+FROM python:3.8-slim-buster
+
+RUN apt update -y && apt install awscli -y
+WORKDIR /app
+
+COPY . /app
+RUN pip install -r requirements.txt
+
+CMD ["python3", "app.py"]

README.md

@@ -47,3 +47,95 @@ dvc dag
 ```
 
 
+### About MLflow & DVC
+MLflow
+
+* Its Production Grade
+* Trace all of your expriements
+* Logging & taging your model
+
+
+DVC
+
+* Its very lite weight for POC only
+* lite weight expriements tracker
+* It can perform Orchestration (Creating Pipelines)
+
+
+
+### AWS-CICD-Deployment-with-Github-Actions
+##### 1. Login to AWS console.
+
+##### 2. Create IAM user for deployment
+```
+#with specific access
+
+1. EC2 access : It is virtual machine
+
+2. ECR: Elastic Container registry to save your docker image in aws
+
+
+#Description: About the deployment
+
+1. Build docker image of the source code
+
+2. Push your docker image to ECR
+
+3. Launch Your EC2 
+
+4. Pull Your image from ECR in EC2
+
+5. Lauch your docker image in EC2
+
+#Policy:
+
+1. AmazonEC2ContainerRegistryFullAccess
+
+2. AmazonEC2FullAccess
+
+```
+
+##### 3. Create ECR repo to store/save docker image
+```
+- Save the URI: 566373416292.dkr.ecr.us-east-1.amazonaws.com/chicken
+```
+
+##### 4. Create EC2 machine (Ubuntu)
+
+##### 5. Open EC2 and Install docker in EC2 Machine:
+```
+#optinal
+
+sudo apt-get update -y
+
+sudo apt-get upgrade
+
+#required
+
+curl -fsSL https://get.docker.com -o get-docker.sh
+
+sudo sh get-docker.sh
+
+sudo usermod -aG docker ubuntu
+
+newgrp docker
+```
+
+##### 6. Configure EC2 as self-hosted runner:
+```
+setting>actions>runner>new self hosted runner> choose os> then run command one by one
+```
+
+
+##### 7. Setup github secrets:
+```
+AWS_ACCESS_KEY_ID=
+
+AWS_SECRET_ACCESS_KEY=
+
+AWS_REGION = us-east-1
+
+AWS_ECR_LOGIN_URI = demo>>  566373416292.dkr.ecr.ap-south-1.amazonaws.com
+
+ECR_REPOSITORY_NAME = simple-app
+```