Mar 10
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In this video, we build and deploy a simple FastAPI API and package it using Docker containers, following a workflow commonly used by DevOps engineers and backend developers. Modern applications are rarely deployed directly from a developer's machine. Instead, they are containerized so they can run consistently across different environments such as development, staging, and production. In this project we will: • Create a simple FastAPI service • Define application dependencies using requirements.txt • Build a Docker image for the application • Run the API inside a container • Push the project to GitHub for version control By the end of this video, you will understand the foundation of containerized API deployment, which is a core skill in modern DevOps and cloud engineering workflows. What You Will Learn How FastAPI APIs are structured How to create a Dockerfile How to build a Docker image How to run containers locally How to version control projects with Git and GitHub Full DevOps Project Templates If you want the complete project repository, templates, and more real-world DevOps projects, you can join our DevOps Lab community. Inside the community you will find: • Production-ready DevOps project templates • Terraform infrastructure examples • Kubernetes deployment templates • CI/CD pipeline setups • AI infrastructure projects • Mentorship and engineering discussions Join here: Skool Community 👉https://www.skool.com/nimbus-compute-academy-8317/about Join Our DevOps Community Discord (engineers and learners): 👉 https://discord.gg/52HMnXxaE9 Tools Used FastAPI Docker Python Git GitHub Follow for More DevOps Content If you're interested in learning: • DevOps Engineering • Cloud Infrastructure • Platform Engineering • AI Infrastructure • Kubernetes and Docker Subscribe and follow the channel for more real-world engineering projects built in public.