CI/CD Pipeline Project | Jenkins β AWS EKS
I have more than a decade of hands-on experience in Hybrid Cloud Storage, Data Protection, Automation and Data Migration. I bring a strong skill set and a passion for innovation. With multiple cloud certifications, I specialize in designing and implementing advanced solutions that integrate on-premises infrastructure with cloud environments. My deep knowledge and experience across various cloud platforms, along with expert-level proficiency, allow me to create robust solutions tailored to meet the unique needs of businesses. Whether it's optimizing storage resources, streamlining workflows, or ensuring smooth data migration, I am committed to delivering transformative results for my clients. With a solid understanding of automation, virtualization, and data migration, I excel in enhancing infrastructure efficiency and facilitating smooth transitions to cloud environments. My successful track record in leading teams and managing complex projects highlights my ability to deliver results that exceed expectations. Let's connect to discuss how my skills and experience can support your learning and growth. The purpose of this blog is to share my knowledge with a wider audience. I have been a Microsoft Certified Trainer since 2022. I help the community achieve certification and to get started with Cloud, especially Azure.
I recently completed a hands-on DevOps project where I designed and deployed an end-to-end CI/CD pipeline using Jenkins, GitHub, Docker, Amazon ECR, and Amazon EKS on AWS βοΈ
The goal was to build a production-style CI/CD workflow where every code commit automatically builds, containerizes, and deploys an application to Kubernetes.
π§ What I built
β
Jenkins installed on Amazon EC2
β
Pipeline as Code using Jenkinsfile
β
GitHub Webhookβbased automatic triggers
β
Docker image build & push to Amazon ECR
β
Kubernetes deployment on Amazon EKS
β
Secure access using IAM Roles (no hard-coded AWS keys π)
π CI/CD Workflow
1οΈβ£ Code pushed to GitHub (main)
2οΈβ£ Webhook triggers Jenkins
3οΈβ£ Jenkins builds Docker image
4οΈβ£ Image pushed to Amazon ECR
5οΈβ£ Jenkins deploys to Amazon EKS
6οΈβ£ App exposed via AWS LoadBalancer
ποΈ Architecture (High-Level)
ββββββββββββββ
β Developer β
βββββββ¬βββββββ
β git push
βΌ
ββββββββββββββββ
β GitHub β
β (Repository) β
βββββββ¬βββββββββ
β Webhook Trigger
βΌ
βββββββββββββββββββββββββββ
β Jenkins Server β
β (EC2 - Ubuntu) β
β β
β β’ Checkout Code β
β β’ Build Docker Image β
β β’ Push Image to ECR β
β β’ Deploy to EKS β
βββββββ¬ββββββββββββββββββββ
β Docker Image
βΌ
βββββββββββββββββββββββββββ
β Amazon ECR β
β (Container Registry) β
βββββββ¬ββββββββββββββββββββ
β Image Pull
βΌ
βββββββββββββββββββββββββββ
β Amazon EKS β
β (Kubernetes Cluster) β
β β
β β’ Deployment β
β β’ Service (LB) β
βββββββ¬ββββββββββββββββββββ
β
βΌ
βββββββββββββββββββββββββββ
β AWS LoadBalancer β
βββββββ¬ββββββββββββββββββββ
β
βΌ
βββββββββββββββββββββββββββ
β End Users / Browser β
ββββββββββββββββββ[βββββββββ
π Project L](https://lnkd.in/g9ebn-Xv)inks
π GitHub Repo: [https://lnkd.in/g9ebn-Xv
π§ ](https://lnkd.in/g9ebn-XvοΏΌοΏΌπ§ ) Key Learnings
Real-world CI/CD pipeline design
Jenkins + Kubernetes integration
Secure AWS authentication with IAM Roles
Container lifecycle automation
Debugging CI/CD & Kubernetes deployments
This project significantly strengthened my DevOps, AWS, and Kubernetest Fundamentals.
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