End-to-End CI Pipeline for GenAI Chatbot | Python + Docker + Jenkins Integration
Автор: ITKannadigaru
Загружено: 2025-11-05
Просмотров: 362
In this video, I’ll walk you through a complete Continuous Integration (CI/CD) project that automates the entire process — from code commit to Docker image deployment — using Python, Docker, and Jenkins.
Notes: https://github.com/ManojKRISHNAPPA/It...
Incase if link doesn't work: github.com/ManojKRISHNAPPA/Itkannadigaru-chatbot.git
Here’s what I covered step-by-step:
1️⃣ Python GenAI Chatbot Development:
Built and tested a simple AI-powered chatbot locally using Python.
2️⃣ Containerization with Docker:
Dockerized the chatbot application to ensure consistency across environments.
Tested the container locally to verify smooth execution.
3️⃣ Jenkins Setup for Automation:
Installed and configured Jenkins for CI/CD automation.
Wrote a complete Dockerfile and Jenkinsfile for build and deployment automation.
4️⃣ Webhook Integration (Git to Jenkins):
Configured a webhook so that whenever a developer commits code to GitHub, Jenkins automatically triggers the pipeline.
5️⃣ Automated Build & Deployment:
Jenkins pipeline automatically builds the Docker image, runs tests, exposes the container, and pushes the image to Docker Hub.
🔹 Tools & Technologies Used:
Python 🐍
Docker 🐳
Jenkins ⚙️
Git & GitHub 💻
#devops #cicd #jenkins #docker #pythonprogramming #automation #chatbot #genai #mlops
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