https://github.com/rishabkumar7/ltc-devops-project
This is the sample application for the DevOps Capstone Project on Learn to Cloud. It shows your favorite TV Shows or movies, the front-end is in React and the API is written in Python using FastAPI. The goal is to get hands-on with DevOps practices like Containerization, CI/CD, IaC and monitoring.
https://github.com/rishabkumar7/ltc-devops-project
Last synced: 10 months ago
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This is the sample application for the DevOps Capstone Project on Learn to Cloud. It shows your favorite TV Shows or movies, the front-end is in React and the API is written in Python using FastAPI. The goal is to get hands-on with DevOps practices like Containerization, CI/CD, IaC and monitoring.
- Host: GitHub
- URL: https://github.com/rishabkumar7/ltc-devops-project
- Owner: rishabkumar7
- License: mit
- Created: 2024-09-30T15:16:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-01T14:48:52.000Z (over 1 year ago)
- Last Synced: 2025-04-23T11:11:47.057Z (10 months ago)
- Language: JavaScript
- Homepage:
- Size: 486 KB
- Stars: 21
- Watchers: 2
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LTC DevOps Project
This is the sample application for the DevOps Capstone Project on [Learn to Cloud.](https://learntocloud.guide)
It shows your favorite TV Shows or movies, the front-end is in React and the API is written in Python using FastAPI.
## 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. For this sample app I am using CosmosDB from Azure. But you can modify the code according to your provider within the API.
## 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`
### 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](https://azure.microsoft.com/en-us/products/container-registry) or [ECR](https://aws.amazon.com/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.
Look at the [Phase 4 capstone project](https://learntocloud.guide/phase4/) for more details.
## Author
[Rishab Kumar](https://github.com/rishabkumar7)
## License
[MIT](./LICENSE)