Complete DevOps Project in 2026 | How I Built A Fully Automated DevOps Pipeline from Scratch
Hi everyone! I’m back with an exciting DevOps project that’s perfect for your resume or skill-building journey. In this video, we’ll create a fully automated DevOps pipeline from scratch. We’ll write a Python web application, containerize it with Docker, and deploy it to Kubernetes on Minikube using Terraform, GitHub Actions, Helm, and ArgoCD.
Whether you’re new to DevOps or an experienced professional, this project will walk you through real-world practices, focusing on automation, GitOps, and Kubernetes best practices.
Here’s what you’ll learn:
Creating a Python web app with Flask.
Setting up Minikube with Terraform as your Kubernetes environment.
Writing a Dockerfile to containerize your Python application.
Automating Docker image builds and pushes with GitHub Actions.
Creating a Helm chart for Kubernetes deployments.
Deploying and syncing applications using ArgoCD with GitOps principles.
Testing the pipeline end-to-end with updates to your app.
💻 GitHub Repository: [https://github.com/thedevopsdude01/co...]
🌐 Join CloudPros: [www.joincloudpros.com] A global DevOps community for professionals at all levels to connect, learn, and grow.
Timestamps:
0:00 - Introduction and overview of the project
0:43 - About CloudPros: A global DevOps community
1:09- What this DevOps pipeline project covers
2:43 - Creating Terraform configuration files: main.tf, provider.tf, backend.tf, variables.tf
3:40 - Defining Minikube provider and cluster resource with Terraform
7:35 - Setting up Kubernetes provider for Terraform to manage Kubernetes resources
10:08 - Setting up Terraform state
11:37 - Initializing Terraform and applying the configuration
16:20- Verifying Minikube cluster setup with kubectl get nodes
17:15 - Building the Python application with Flask (app.py)
21:21 - Containerizing the Python application: Writing the Dockerfile
24:17 - Setting up CI pipeline using GitHub Actions
26:18- Adding GitHub Actions steps to build and push Docker images to DockerHub
39:49 - Creating a Helm chart for the Kubernetes deployment
40:18 - Exploring the Helm chart structure and values.yaml configuration
46:03- Automating docker image tag update to be picked up by ArgoCD
51:10 - Setting up ArgoCD for GitOps: Deploying ArgoCD with Helm using Terraform
57:21 - Accessing ArgoCD dashboard and logging in with default credentials
1:02:08 - Writing the ArgoCD application YAML (argocd-app.yaml) to link the Helm chart
1:06:30 - Configuring ArgoCD to monitor GitHub repository using a Personal Access Token (PAT)
1:13:05 - Deploying the ArgoCD application and enabling auto-sync
1:16:36 - Testing the pipeline with a Python app update
1:19:52 - Accessing the updated Python app using port forwarding
1:22:49 - Best practices for CI/CD and GitOps pipelines in production environments
1:23:40 - Closing thoughts
Key Takeaways:
Combine Terraform, Helm, GitHub Actions, and ArgoCD to build a fully automated DevOps pipeline.
Understand how GitOps principles enable seamless synchronization between GitHub and Kubernetes.
Learn real-world practices to containerize applications, automate deployments, and streamline CI/CD workflows.
If you found this video valuable, don’t forget to like, subscribe, and share. Let’s continue learning and growing together. See you in the next video! 🚀
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#DevOps #Kubernetes #GitOps #CI_CD #Python #Helm #Terraform #GitHubActions #ArgoCD #minikube
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