DevOpsActive

CI/CD Pipeline

Enterprise Kubernetes Deployment Automation with Jenkins & Docker

This project showcases a production-grade continuous integration and continuous deployment (CI/CD) infrastructure engineered for containerized microservices. Utilizing Jenkins declarative pipelines, multi-stage Docker builds, Trivy container security scanners, and Helm charts on AWS EKS, it automates testing, packaging, and zero-downtime rolling releases.

RoleDevOps & Infrastructure Engineer

Timeline2 Months

Target AudienceEnterprise SaaS & Internal Engineering

Architecture StyleEvent-Driven / Cloud Native

Live Project Preview View Source Code

KEY PERFORMANCE METRICS

4.5 mins

Deploy Cycle

Down from 45 minutes manually

99.99%

Release Uptime

Zero-downtime rolling upgrades

100%

Automated Tests

Zero code deployed without test pass

Critical CVEs

Enforced via automated Trivy gates

Technology Stack Breakdown

Frontend & UI

Jenkins BlueOcean UIGrafana Dashboards

Backend & Services

Groovy Declarative PipelinesBash AutomationPython Scripts

Database & Caching

AWS ECR (Container Registry)Nexus Artifact Repository

DevOps & Cloud

AWS EKSDockerKubernetesHelmTrivyTerraform

THE PROBLEM

Manual Release Friction & Production Outages

Engineering teams previously relied on manual SSH commands to pull repository changes and build containers directly on staging and production servers, resulting in frequent misconfigurations, inconsistent library versions, and dreaded Friday deployment outages.

Deployment cycles requiring up to 45 minutes of manual engineer supervision.

Inconsistent environments causing 'works on my machine' issues between staging and production.

Lack of security scanning allowing vulnerable Docker base images with critical CVEs into production.

Zero rollback mechanism requiring manual database and code rewinds when a bug escaped to production.

THE SOLUTION

Fully Automated GitOps & Container Pipeline

Architected an end-to-end automated Jenkins declarative pipeline that triggers on GitHub PR events, executes test suites, performs static security analysis, compiles multi-stage Docker images, and deploys to Kubernetes via Helm.

GitHub webhook integration triggering automated branch preview environments for testing.

Multi-stage Dockerfiles cutting final image sizes from 1.2GB down to 85MB.

Automated Trivy container vulnerability scanning halting builds upon detection of HIGH or CRITICAL CVEs.

Zero-downtime Kubernetes rolling deployment with automated canary health-checks and instant rollback triggers.

SYSTEM ARCHITECTURE

Data Flow & Distributed Infrastructure

Ephemeral Kubernetes build agents spin up dynamically inside the cluster to execute stages in isolated containers and tear down immediately upon job completion to minimize AWS cloud costs.

Developer Git Push (GitHub) │ ▼ GitHub Webhook Trigger │ ▼ Jenkins Master Node (Kubernetes Agent Provisioning) │ ├──▶ Stage 1: Linting & Unit Testing (Jest, PyTest) ├──▶ Stage 2: SonarQube Static Code Quality Analysis ├──▶ Stage 3: Multi-Stage Docker Compilation ├──▶ Stage 4: Trivy Container Vulnerability Scan │ ▼ AWS ECR (Immutable Image Tagging with Git SHA) │ ▼ Helm Chart Upgrade -> AWS EKS Cluster │ ├──▶ Rolling Deployment (0 Downtime) ├──▶ Pod Readiness & Liveness Probes └──▶ Slack Notification & Grafana Telemetry Annotation

Git Trigger & Agent Spin-Up

Webhook launches an isolated agent pod on Kubernetes tailored to the language stack.

Quality & Security Gates

Runs automated test suites, code coverage checks, and container image CVE vulnerability inspections.

Container Registry Push

Pushes immutably tagged container images to AWS ECR using commit SHAs for total traceability.

Zero-Downtime Rollout

Executes Helm upgrade with readiness checks; automatically rolls back if health checks fail.

CORE CAPABILITIES

Key Engineering Features

Declarative Pipeline as Code

Version-controlled Jenkinsfile allowing reproducible infrastructure across microservice repositories.

Automated Security Scanning

Enforces strict security governance preventing images with critical vulnerabilities from ever reaching production.

Dynamic Helm Deployments

Configurable environment values for dev, staging, and production clusters with centralized secret injection.

Real-Time Slack & Discord Alerts

Broadcasts build status, duration, changelogs, and direct links to build artifacts directly to team communication channels.

ENGINEERING HURDLES

Technical Challenges Overcome

Slow Pipeline Build Times from Scratch

The Challenge:Re-downloading npm and python packages on every ephemeral agent run caused 12-minute build times.

The Solution:Configured persistent Kubernetes volume cache mounts for package managers and Docker layer caching, cutting runtimes to 4.5 minutes.

Production Downtime During Pod Switches

The Challenge:Kubernetes terminated old pods before new pods fully initialized their database connection pools.

The Solution:Configured graceful shutdown handlers and tuned livenessProbe initialDelaySeconds and preStop hooks for zero-downtime handoffs.

BUSINESS IMPACT

Slashed deployment duration from 45 minutes to 4.5 minutes with 99.99% release uptime.

4.5 mins

Release Cycle

99.99%

Uptime

Critical CVEs

Enabled engineering teams to deploy 8-12 times daily with total confidence and zero manual intervention.

Completely eliminated staging vs production configuration drift through container standardization.

Empowered instant one-click rollbacks resolving potential production incidents in seconds rather than hours.

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