Cloud-Native-Monitoring-Tool using Python App on K8s

DevOps Project from scratch- Deploy Cloud Native Monitoring Application on Kubernetes

Prerequisites !

(Things to have before starting the projects)

• AWS Account.
• Programmatic access and AWS configured with CLI.
• Python3 Installed.
• Docker and Kubectl installed.
• Code editor (Vscode)

✨Let’s Start the Project ✨

Part 1: Deploying the Flask application locally

Step 1: Clone the code from the repository

$ git clone <repository_url>

Step 2: Install dependencies :The application uses the psutil and Flask, Plotly, boto3 libraries. Install them using pip:

pip3 install -r requirements.txt

Step 3: Run the application

To run the application, navigate to the root directory of the project and execute the following command:

$ python3 app.py

This will start the Flask server on localhost:5000. Navigate to http://localhost:5000/ on your browser to access the application.

Part 2: Dockerizing the Flask application

Step 1: Create a Dockerfile in the root directory of the project with the following contents:

Step 2: To build the Docker image, execute the following command:

$ docker build -t <image_name> .

Step 3: To run the Docker container, execute the following command:

$ docker run -p 5000:5000 <image_name>

This will start the Flask server in a Docker container on localhost:5000. Navigate to http://localhost:5000/ on your browser to access the application.

Part 3: Pushing the Docker image to ECR

Step 1: Create an ECR repository using Python:

Step 2: Push the Docker image to ECR using the push commands on the console:

 $ docker push <ecr_repo_uri>:<tag>

Part 4: Creating an EKS cluster and deploying the app using Python

Step 1: Create an EKS cluster and add node group

Step 2: Create a node group in the EKS cluster.

Step 3: Create deployment and service

make sure to edit the name of the image on line 25 with your image Uri.

• Once you run this file by running “python3 eks.py” deployment and service will be created.
• Check by running following commands:

kubectl get deployment -n default (check deployments)
kubectl get service -n default (check service)
kubectl get pods -n default (to check the pods)

Once your pod is up and running, run the port-forward to expose the service

kubectl port-forward service/<service_name> 5000:5000