LTC DevOps Project

This is the sample application for the DevOps Capstone Project on Learn to Cloud.

Application

Front-End - A web application where users can view.

API: API that receives request to fetch TV Shows or Movies data, stored in NoSQL Database.

Running locally

API

The API code exists in the api directory. You can run the API server locally:

• Clone this repo
• Make sure you are in the api directory
• Create a virtualenv by typing in the following command: python -m venv .venv
• Install the required packages: pip install -r requirements.txt
• Create a .env file, and add your CosmosDB connection details(only if you are using Azure CosmosDB), check .env.example
• Also, change the API code depending on the data stored in your NoSQL Database in main.py accordingly
• Run the API server: uvicorn main:app --reload
• Your API Server should be running on port http://localhost:8000

DB

The DB is a Azure CosmoDB. Create one using COSMODB interface and identification informations in a .env file in the api folder CosmosDBEndpoint="your endpoint" CosmosDBKey="your cosmos db key"

Front-end

The front-end code exits in the frontend directory. You can run the front-end server locally:

• Clone this repo
• Make sure you are in the frontend directory
• Install the dependencies: npm install
• Run the NextJS Server: npm start
• Your Front-end Server should be running on http://localhost:3000

Goal

The goal is to get hands-on with DevOps practices like Containerization, CICD and monitoring.

• Containerize the Application: Create Dockerfiles for both api and frontend.
• CI/CD: Setup CI/CD pipeline to push images to Dockerhub or other container registries like ACR or ECR.
• Infrastructure as Code: Deploy a Kubernetes cluster to your choice of cloud provider, using Terraform.
• Kubernetes: Create deployments for both of your containers using YAML files, and deploy it to your cluster.
• Monitoring: Setup monitoring for your cluster, look into Prometheus and Grafana.

Azure deployment

Install azure CLI on your platform First you will probably have to login az login --tenant TENANT ID To deploy the infrastructure on azure, simply use terraform init and terraform deploy To access the K8 cluster first use : az aks get-credentials --resource-group ltcDevOpsRG --name K8S_cluster_ltc to get credentials

Monitoring

To access prometheus and grafana, because they are using only a Cluster IP, use a kubectl port forward for access. It's possible the use public IP but it's not tested (bcs of azure free tier 3 publics IPs limit)