Terraform DevOps Project: Automating AWS Infrastructure

🚀 I Built a Production-Style AWS EKS Cluster Using Terraform — And It Broke More Than I Expected Most DevOps tutorials end at: 👉 “terraform apply succeeded.” That’s not where real work ends. That’s where problems begin. So I decided to go beyond tutorials and build an AWS EKS cluster from scratch — fixing real issues along the way. 🧠 What I Built ✔️ Amazon EKS (Kubernetes 1.29) ✔️ Custom VPC with public & private subnets ✔️ NAT Gateway for private networking ✔️ Managed Node Groups ✔️ IAM Roles with IRSA (OIDC) ⚠️ Real Issues I Faced ❌ Unsupported Kubernetes version → AWS silently drops old versions ❌ Terraform provider conflicts → Module ≠ provider mismatch breaks everything ❌ Git mistakes → Almost pushed sensitive Terraform state files 💡 What This Taught Me “Working infra” ≠ “Production-ready infra” Version compatibility can break everything Git hygiene is critical in DevOps Debugging is the real skill — not deployment 📊 Outcome ✔️ Fully working EKS cluster ✔️ Nodes accessible via kubectl ✔️ Clean repo with proper workflow 🚀 What’s Next Remote Terraform state (S3 + DynamoDB) CI/CD pipeline (GitHub Actions) Deploy real applications on EKS Monitoring (Prometheus + Grafana) 🔗 Full Project Breakdown 👉 Read here: https://lnkd.in/gVn5M9gB 💬 Final Thought: Anyone can deploy infrastructure. But debugging failures, fixing them, and preventing them again — That’s what makes you a real DevOps engineer.

DevOps Portfolio Project 2 – Containerizing an Application with Docker Continuing my DevOps learning journey, I recently containerized my Asset Inventory System application using Docker. After deploying the application on AWS EC2 in my previous project, the next step was to package the application into a portable container. This ensures the application runs consistently across different environments without dependency issues. Using Docker, I created a container image that includes the Node.js runtime, application code, and required dependencies. The container can now run on any machine that supports Docker, simplifying the deployment process. Key technologies used in this project include: • Docker • Node.js & Express • Containerization best practices • Dockerfile configuration This project helped me understand how containers solve common deployment challenges and how they form the foundation for modern cloud-native applications. Next, I will be implementing a CI/CD pipeline to automate the build and deployment process. #DevOps #Docker #CloudEngineering #LearningInPublic #Containerization #TechProjects

🚀 Day 7 of My DevOps Journey — GitHub Webhooks (Real-Time CI/CD) Until now, I was triggering Jenkins pipelines manually. Today, I automated the trigger itself. 👉 Push code → Pipeline runs automatically This is what real DevOps looks like. 🔹 What I Practiced: - Setting up GitHub Webhooks - Connecting GitHub → Jenkins - Configuring webhook triggers in pipeline - Testing end-to-end automation 🔹 Mini Project: I implemented a real-time CI/CD flow: ✔ Pushed code to GitHub ✔ Webhook triggered Jenkins build instantly ✔ Pipeline executed automatically ✔ Docker image built & deployed No manual steps. Fully automated 🔥 🔹 Real Issues I Faced: ❌ 403 error (No valid crumb included) ❌ 400 error (Bad webhook request) 🔹 How I Fixed It: ✔ Configured Jenkins security settings (CSRF / crumb issue) ✔ Verified webhook URL & payload ✔ Used tools like ngrok for local webhook testing 💡 Key Learning: “DevOps is not about speed — it’s about automatic reliability.” Now I understand: - Event-driven automation - How real CI/CD pipelines are triggered - Importance of secure integrations Next → AWS EC2 Deployment (taking pipelines to cloud ☁️) If you're building in DevOps, let’s connect 🤝 #DevOps #Webhooks #Jenkins #CICD #Automation #Cloud #AWS #LearningInPublic

🚀 CI/CD Pipeline Using GitHub Actions In today’s fast-paced DevOps world, automation is everything. Here’s a simple yet powerful CI/CD workflow that ensures faster, reliable, and scalable deployments 👇 🔹 1. Push Code Developers push code to GitHub → Workflow gets triggered automatically ⚡ 🔹 2. Build Application Code is compiled and dependencies are installed using runners 🛠️ 🔹 3. Automated Testing Unit, integration & E2E tests ensure code quality ✅ 🔹 4. Build Docker Image Application is containerized using Docker and pushed to registry 🐳 🔹 5. Deploy to Kubernetes Deployment to Kubernetes cluster using Helm/kubectl 🚢 🔹 6. Monitor & Notify Monitoring via Prometheus & Grafana + alerts via Slack/Email 📊 💡 Why this matters? ✔ Faster deployments ✔ Reduced manual effort ✔ Better reliability & scalability ✔ Continuous feedback loop 🔥 As a DevOps Engineer, building automated pipelines like this is not just a skill — it's a necessity. 💬 What tools do you use in your CI/CD pipeline? #DevOps #CICD #GitHubActions #Docker #Kubernetes #Automation #Cloud #AWS #Monitoring 🚀

🎯 Leveling Up My DevOps Skills with Hands-On Projects As part of my journey to deepen my DevOps skills and gain more hands-on experience, I’ve started building practical, real-world projects, beginning with the basics and gradually moving toward advanced, real-world implementations. ➡️ Project 1: End-to-End CI/CD Pipeline   - Built a fully automated CI/CD pipeline using GitHub Actions   - Containerized a simple web application using Docker   - Implemented multi-architecture builds (ARM & AMD64) using Buildx   - Automated deployment to AWS EC2 using SSH   - Achieved seamless build → push → deploy workflow  This project gave me strong insights into automation, containerization, and solving real-world challenges like environment compatibility.  🔜 Next Step   Taking this further by working on:   🔶 Kubernetes + Terraform (Infrastructure as Code, scalable deployments, monitoring)  GitHub Link : https://lnkd.in/gJ4Ev3KB Focused on learning, building, and continuously improving 🚀  #DevOps #CI_CD #Docker #AWS #GitHubActions #CloudComputing #LearningJourney

🚀 Jenkins + Helm Pipeline – Automate Kubernetes Deployments the Right Way Deploying to Kubernetes manually doesn’t scale. If you're still applying YAML files manually… you’re missing the real power of CI/CD. This tutorial shows how to use Jenkins with Helm to automate application deployments to Kubernetes. Why this matters: ☸️ Helm simplifies Kubernetes deployments   🚀 Jenkins automates the entire deployment workflow   🔁 Repeatable and version-controlled releases   📦 Easy rollback using Helm releases  What you’ll learn: - How Jenkins integrates with Helm in a pipeline   - How Helm charts are used for deployment   - How to package and deploy applications using Helm   - How to manage releases in Kubernetes   - How to bring CI/CD into Kubernetes environments  👉 Step-by-step tutorial:   https://lnkd.in/gWy_cCrj 🧠 Quick quiz: What is the main purpose of Helm in Kubernetes? A) Container runtime   B) Package manager for Kubernetes applications   C) Monitoring tool   D) Networking controller  ✅ Correct answer: B) Package manager for Kubernetes applications   (Helm helps manage, package, and deploy applications in Kubernetes.) 💬 Bonus question: Do you use Helm in your current projects? A) Yes   B) No   C) Planning to learn  👉 Comment your answer 👇 💡 Pro tip: Always version your Helm charts — it makes rollbacks and deployments much easier. 🔥 If you're working with Kubernetes, mastering Helm + CI/CD is a game changer. 👍 Like + 🔁 Repost if you want more real-world DevOps pipelines like this. #Jenkins #Helm #Kubernetes #DevOps #CICD #Cloud #Automation #DevopsPilot

Are you really using Docker to its full potential? If you're building applications and not using Docker, you're probably making deployment harder than it needs to be. What is Docker? Docker is an open-source platform that packages your application along with all its dependencies into a container. That means: Same environment in development and production No “it works on my machine” issues Faster onboarding for teams How Docker Fits in Production Here’s what a typical real-world workflow looks like: 1️⃣ Code Update – Developer pushes code to GitHub 2️⃣ CI/CD Triggered – GitHub Actions detects changes 3️⃣ Build & Test – Docker image is rebuilt and tested automatically 4️⃣ Push to Registry – Image is pushed to Docker Hub or private registry 5️⃣ Deploy – Containers are deployed using Kubernetes for scaling and management 💡Why It’s a Game-Changer ✔ Consistency across environments ✔ Lightweight & fast deployments ✔ Easy scaling ✔ Better resource utilization ✔ Cleaner DevOps workflow In modern software development, Docker isn’t optional — it’s foundational. If you're learning backend, DevOps, or cloud, mastering Docker will instantly level you up. Are you using Docker in your projects yet? #Docker #DevOps #Containers #CI_CD #Kubernetes #CloudComputing

🚀 Are you ready to level up your infrastructure game with Terraform? Let's talk about the magic of Version Constraints! 🌟 In the ever-evolving world of DevOps, keeping your infrastructure code stable yet flexible is key. That's where Terraform Expressions Version Constraints come into play. They empower you to specify the acceptable versions of Terraform modules and providers, ensuring your projects run smoothly without unexpected hiccups. Imagine having the reliability of a well-oiled machine while still embracing the latest innovations! 🛠️✨ Version Constraints are like setting the perfect boundaries in your professional life. They help you maintain control, avoid compatibility issues, and ensure that your infrastructure is always in top shape. Plus, they provide the peace of mind that your code won't break when new versions are released. It's like having a safety net while you soar to new heights! 🦅 As professionals, we all strive for efficiency and reliability, and Version Constraints are a tool that can help us achieve just that. Whether you're a seasoned DevOps engineer or just starting out, embracing these constraints can be a game-changer for your projects. So, how are you managing your Terraform versions? Are you using Version Constraints to their full potential? Share your experiences or tips in the comments below! Let's learn and grow together. 🤝 #Terraform #DevOps #InfrastructureManagement

🚀 Day 16 of My DevOps Journey — How My CI/CD Pipeline Actually Works I’ve been learning CI/CD for the past few days. Today, I broke down my pipeline into a simple flow: 👉 From code push → to deployment 🔹 My CI/CD Flow: 1️⃣ Code pushed to GitHub 2️⃣ Webhook triggers Jenkins automatically 3️⃣ Jenkins pulls latest code 4️⃣ Docker image is built 5️⃣ Image pushed to Docker Hub 6️⃣ Container deployed on server (EC2) 7️⃣ Application becomes live 🔹 What I Used: - GitHub (code) - Jenkins (automation) - Docker (containerization) - AWS EC2 (deployment) 🔹 Real Issue I Faced: ❌ Pipeline failed due to incorrect image tagging 🔹 How I Fixed It: ✔ Used proper version tagging ("build-${BUILD_NUMBER}") ✔ Ensured consistent naming ✔ Verified Docker commands in pipeline 🔹 What Changed After This: Before: 👉 Manual steps, confusion Now: 👉 One push = automated deployment 💡 Key Learning: “CI/CD is not about automation — it’s about confidence in your deployment.” This project helped me understand: - Real DevOps workflow - How automation reduces errors - How systems work end-to-end Currently building hands-on DevOps projects and open to opportunities. Let’s connect 🤝 #DevOps #CICD #Jenkins #Docker #AWS #Cloud #Automation #LearningInPublic

🚀 Recently, I had the opportunity to attend a 2-day hands-on workshop on IT Industry Automation using DevOps Practices (04/02/2026 – 05/02/2026), and it was an incredibly insightful experience! During the workshop, we explored how modern software development is streamlined using CI/CD pipelines and industry-level automation practices. 🔧 Key Learnings: Understood the complete workflow of a production-ready CI/CD pipeline Learned how to integrate tools like GitHub, Jenkins, Docker, and Apache Tomcat. Built a pipeline starting from code commit to deployment ⚙️ Pipeline Flow Covered: ➡️ Code pushed to GitHub repository ➡️ Jenkins fetches the code ➡️ Build process using Maven (conversion into WAR file) ➡️ Containerization using Docker ➡️ Automated deployment on Apache Tomcat Server 🏆 Glad to have successfully completed this workshop and received the certification, which adds to my journey of becoming a skilled developer in cloud and DevOps technologies. 💡 This experience gave me practical exposure to how real-world applications are built, tested, and deployed efficiently. It also helped me understand how DevOps enables faster delivery, better collaboration, and scalable solutions in the industry. Looking forward to applying these concepts in my projects and diving deeper into automation, cloud, and scalable system design !! #DevOps #CICD #Jenkins #Docker #GitHub #Maven #Automation #SoftwareDevelopment #CloudComputing #TechLearning #StudentDeveloper #DevOpsEngineer #ContinuousIntegration #DeploymentAutomation #TechWorkshop #HandsOnLearning #Upskilling #CareerGrowth #SoftwareEngineering #Innovation #LearningJourney #BuildInPublic #SRM #KTR #EngineeringStudents #TechSkills