README.md

Overview

This Flask-based web service to deploy a monitoring solution on an Amazon EKS cluster using Kubernetes and Helm. The service generates a Kubernetes configuration file based on the provided AWS credentials and EKS cluster details, and then deploys Grafana using Helm.

Prerequisites

• Python 3.x
• Flask
• Boto3
• PyYAML
• AWS CLI
• Kubernetes CLI (kubectl)
• Helm

Setup

1. Clone the Repository

   git clone https://github.com/your-repo/your-project.git
   cd your-project

2. Install Dependencies

   pip install -r requirements.txt

3. Set Environment Variables

   Update the environment variables for AWS access keys in the monitoring_deployment function:

   os.environ['AWS_ACCESS_KEY_ID'] = 'your-access-key'
   os.environ['AWS_SECRET_ACCESS_KEY'] = 'your-secret-key'

Running the Service

1. Start the Flask Server

   python app.py

2. Create Monitoring

   Send a POST request to http://localhost:4004/create_monitoring with a JSON payload containing the following keys:

   • access_key: Your AWS access key.
   • secret_key: Your AWS secret key.
   • cluster_name: The name of your EKS cluster.
   • region_name: The AWS region where your EKS cluster is located.

   Example payload:

   {
       "access_key": "your-access-key",
       "secret_key": "your-secret-key",
       "cluster_name": "your-cluster-name",
       "region_name": "your-region-name"
   }

   You can use curl or any API client to send the request:

   curl -X POST http://localhost:4004/create_monitoring -H "Content-Type: application/json" -d '{
       "access_key": "your-access-key",
       "secret_key": "your-secret-key",
       "cluster_name": "your-cluster-name",
       "region_name": "your-region-name"
   }'