Production Ready

Automated CI/CD Pipeline

End-to-end automation from code push to production using Jenkins, Docker, Kubernetes & GitHub.

Jenkins Docker Kubernetes GitHub
🔧
Code
🏗️
Build
🧪
Test
🐳
Docker
☸️
Deploy

Pipeline Architecture

Automated end-to-end workflow triggered on every code commit

GitHub

Code Commit triggers webhook

webhook

Jenkins

Orchestrates build & test pipeline

image push

Docker

Containerize for consistent envs

deploy

Kubernetes

Orchestrate & scale containers

Tech Stack

Battle-tested tools powering the pipeline

GitHub

Source control & webhook integration that triggers the pipeline on every commit to main branch.

  • ✓ Webhook triggers on push
  • ✓ Branch protection rules
  • ✓ Pull request automation
🏗️

Jenkins

CI server that orchestrates the full pipeline: from build to test, image creation, and deployment.

  • ✓ Declarative Jenkinsfile
  • ✓ Parallel stage execution
  • ✓ Build artifact management
🐳

Docker

Containerizes the application for consistent, portable deployment across all environments.

  • ✓ Multi-stage Dockerfiles
  • ✓ Image versioning & tagging
  • ✓ Registry push/pull
☸️

Kubernetes

Manages container orchestration, auto-scaling, self-healing, and zero-downtime deployments.

  • ✓ Rolling deployments
  • ✓ Auto-scaling (HPA)
  • ✓ Health checks & probes

Pipeline Stages

Step-by-step automated workflow

01
📝

Code Commit

Developer pushes code to GitHub. Webhook fires instantly, notifying Jenkins to start the pipeline.

# GitHub Webhook
git push origin main
02
🏗️

Jenkins Build

Jenkins pulls the latest code, installs dependencies, and compiles the application artifacts.

// Jenkinsfile stage
stage('Build') { ... }
03
🧪

Automated Tests

Unit, integration, and security tests run in parallel. Pipeline halts on any failure.

// Run test suite
npm run test --coverage
04
🐳

Docker Image

Application is containerized into a Docker image, tagged with commit SHA, and pushed to registry.

# Build & push image
docker build -t app:$SHA .
05
☸️

Kubernetes Deploy

Rolling update deployed to Kubernetes cluster. Health checks ensure zero-downtime deployment.

# Apply K8s manifests
kubectl apply -f k8s/

Key Metrics

Measurable impact of the automated pipeline

0
%
Deployment Automation
Zero manual steps from code push to production
0
%
Faster Deployments
Reduction in deployment time vs. manual process
0
%
Uptime Achieved
Rolling updates ensure zero-downtime releases
0
min
Pipeline Duration
Average full pipeline run from commit to deploy

Live Pipeline Demo

Click to simulate a real pipeline run

Checkout pending
Build pending
Test pending
Dockerize pending
Deploy pending
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