Create Simple CI/CD Pipeline with GitHub Actions

We’re leveraging GitHub Actions to streamline our development workflow and bring consistency to every release. 🔹 Automated triggers on code push & pull requests 🔹 Build and package applications with Maven 🔹 Execute automated testing for quality assurance 🔹 Containerize and deploy using Docker 🔹 Real-time notifications to keep teams aligned This approach enables: ✔ Faster and more reliable deployments ✔ Reduced manual intervention and errors ✔ Improved developer productivity ✔ Consistent delivery across environments By investing in automation, we ensure that our teams focus more on innovation and less on operational overhead. #CICD #DevOps #Automation #SoftwareEngineering #GitHubActions #Docker #Innovation

From Manual Deployments to Full Automation — Jenkins Journey 🥳 There’s a kind of developer pain we don’t talk about enough. Not the big architecture struggles — but the quiet frustration of doing the same manual steps over and over, knowing there must be a better way. That was me, not too long ago. Where It All Started My deployment routine was always the same: Open terminal → SSH → pull code → build → watch logs → hope nothing breaks. Simple on paper. Draining in reality. Doing this multiple times a week (sometimes a day) turned it into a repetitive, error-prone ritual. So ,wrote a shell script to automate the steps. It felt like progress — one command, no missed steps. But the script still needed me. I still had to run it, remember it, and sit there during every deployment. Faster? Yes. Automatic? Not really. That’s what finally pushed toward Jenkins. The First Time I Opened Jenkins,At first glance, Jenkins looked complicated — pipelines, jobs, stages everywhere. But once I understood it, everything clicked. Jenkins simply automated what I’d been doing manually: Pull → Build → Test → Deploy Same flow, just automatic, consistent, and independent of me. Once that sank in, automation finally made sense. The entire thought process became a pipeline that triggered every time I pushed code — no forgotten steps, no shortcuts, no “bad days.” What Jenkins Actually Is 😌 Jenkins is an open-source automation server that watches your repo, detects changes, and runs your CI/CD pipeline. No reminders. No manual steps. No human dependency. Its strengths are flexibility and control — self-hosted, customizable, and supported by 1800+ plugins. It works for everything from small personal projects to large enterprise systems. And yes, it’s free. Why Jenkins Still Matters 😌 With tools like GitHub Actions, GitLab CI, and CircleCI around, why does Jenkins still thrive? Because of control. Managed tools are great for simple workflows. But when you have custom infrastructure, hybrid environments, complex deployment logic, or strict data requirements, their limitations show. Jenkins adapts to your process — not the other way around. It’s mature, stable, well-documented, and trusted. #Jenkins #DevOps #CICD #Automation #RealTalk #DeveloperLife #BuildInPublic #SoftwareEngineering #BackendDevelopment

🚀 #100DaysOfDevOps – Day 11 Today I worked on Jenkins installation and CI/CD automation, understanding how builds are triggered in real-time environments. 🔹 Step 1: Jenkins Installation (Server Setup) Commands: yum install java-17-amazon-corretto -y yum install jenkins -y systemctl start jenkins ✔ Scenario: Setting up Jenkins server on EC2/Linux machine for CI/CD pipelines 🔹 Step 2: Install Git on Jenkins Server ✔ Scenario: Jenkins needs Git to pull code from repositories 🔹 Step 3: Connect Jenkins with GitHub Repo ✔ Scenario: Linking project repository to Jenkins for automated builds Steps: • Create Jenkins job • Add GitHub repo URL • Configure credentials (username + token) 🔹 Step 4: Build Automation (Real-Time Triggering) 🚀 When developer pushes code → Jenkins automatically triggers build ✔ Webhook (Real-time trigger) • Scenario: Immediate build after code push (used in production CI/CD) ✔ Poll SCM (Scheduled check) • Scenario: Jenkins checks repo every few minutes for changes ✔ Build Periodically • Scenario: Nightly builds / scheduled jobs 🔹 Real-Time Workflow (End-to-End) 👨💻 Developer pushes code → 🔗 GitHub repo updated → ⚙️ Jenkins triggered (Webhook) → 🏗️ Build starts → 🧪 Tests executed → 🚀 Deployment pipeline triggered 💡 Jenkins is the backbone of CI/CD pipelines, enabling automation, faster delivery, and reduced manual effort. From manual builds → to fully automated pipelines. 💪 #Jenkins #DevOps #CICD #Automation #CloudEngineering #100DaysChallenge #ContinuousLearning

Day 26 of learning and practicing DevOps 🔁 Explored GitHub CLI (gh) — managing GitHub directly from the terminal Worked on: • Authenticating GitHub using gh auth login • Creating and managing repositories from terminal • Creating and managing issues without using browser • Creating and merging Pull Requests directly from CLI • Listing and checking GitHub Actions workflow runs • Understanding how gh can be used in automation Important part: Until now, I was switching between terminal and browser for everything… Learning today --> automation Here are my notes: https://lnkd.in/gVqfznHZ 📍 #DevOps #GitHub #CLI #Automation #LearningInPublic #90DaysOfDevOps #TrainWithShubham

Pushing code is easy… making it run automatically is the real game 🤯 Day 18 of my DevOps Journey 🚀 Today I learned how to integrate Git with Jenkins — and this is where things start getting real. Instead of just storing code in GitHub, I connected a public repository to Jenkins and triggered a build pipeline. From creating a freestyle job → linking the Git repo → installing Git on the server → running “Build Now”… I was able to see my code being pulled and executed automatically. That moment when the build shows SUCCESS ✅ That’s when you realize DevOps is not theory anymore. Key learning: Code + Automation = Real DevOps This is just the beginning — next step is automating this entire flow without clicking anything manually ⚙️ Have you ever triggered your first build in Jenkins? How did it feel? 👇 #DevOps #Jenkins #Git #CICD #LearningInPublic #100DaysOfDevOps #Day18

Terraform applies my infrastructure. Docker packages my application. Kubernetes orchestrates everything. Jenkins and GitHub Actions automate the pipeline. SonarQube checks my code quality. And somehow… The problem is still a YAML typo. 😄 Good night #DevOps #Automation #Kubernetes #Terraform #CI_CD

🚀 Day 4 of My Jenkins Journey — Testing, Artifacts & Deployment Today I moved closer to real-world CI/CD by adding testing and deployment steps to my pipeline. This is where Jenkins starts handling the full lifecycle: build → test → package → deploy 🔥 Here’s what I explored 👇 🔹 Running Tests in Pipeline Automating test execution as part of the build process. stage('Test') { steps { echo 'Running tests...' } } 🔹 Build Tools Integration Using tools like Maven/Gradle to build Java applications. stage('Build') { steps { sh 'mvn clean install' } } 🔹 Artifacts Files generated after build (e.g., JAR/WAR). 🔹 Archive Artifacts archiveArtifacts artifacts: '**/target/*.jar', fingerprint: true Stores build output for future use. 🔹 Deploy Step Automating deployment to server or container. stage('Deploy') { steps { echo 'Deploying application...' } } 🔹 Post Actions post { success { echo 'Build successful 🎉' } failure { echo 'Build failed ❌' } } Runs actions based on build result. 💡 Biggest takeaway: Jenkins pipelines don’t just build code — they test, package, and deploy applications automatically. This is how real-world CI/CD pipelines work in production. Almost there. Final step: advanced pipelines & optimization 🚀 #Jenkins #DevOps #CICD #Automation #LearningInPublic #100DaysOfCode

This is how a typical GitOps workflow looks. A central ArgoCD/Flux cluster watches your Git repo for manifest changes and syncs them to the right environment. No manual kubectl, Git is the source of truth. Every deploy is a git commit. #GitOps #Kubernetes #ArgoCD #DevOps

🚀 Automating CI/CD with GitLab + Jenkins — Build Smarter, Deliver Faster Still building and deploying manually? You’re leaving speed, quality, and scalability on the table. Here’s how a modern automation pipeline works 👇 🔶 Step 1: Code Push (GitLab) Developer pushes code → triggers the pipeline 🔗 Step 2: Webhook Trigger GitLab sends a webhook → Jenkins job starts automatically ⚙️ Step 3: Jenkins Pipeline ✔ Checkout code ✔ Build the project ✔ Run automated tests ✔ Perform code analysis 📦 Step 4: Artifact Management Generate and store build artifacts 🚀 Step 5: Deployment Deploy to dev / staging / production seamlessly 💡 Why this matters: ✔ Faster releases ✔ Early bug detection ✔ Consistent builds ✔ Reduced manual effort ✔ Scalable architecture 🔥 Pro Tip: Use Jenkinsfile (Pipeline as Code) + secure webhooks + proper environment separation for a production-grade setup. Automation isn’t optional anymore — it’s the backbone of modern software delivery. How are you handling your CI/CD pipelines today? 🤔 #DevOps #CICD #Jenkins #GitLab #Automation #SoftwareEngineering #BuildPipeline #TechLeadership #DeveloperLife

💡 Git Tip: Cherry-Pick – Copy Only What You Need! In real-world projects (especially in automation & CI/CD pipelines), we often face situations like: 👉 A code fix is done in one branch, but urgently needed in another 👉 You don’t want to merge the entire branch (to avoid unwanted changes) 👉 You just need that one specific commit That’s where cherry-pick becomes a lifesaver. 🔧 What it does: It allows you to pick a specific commit from one branch and apply it to another branch. 🧠 Basic usage: git checkout target-branch git cherry-pick <commit-hash> 🚀 Why it’s powerful: ✔ Avoids unnecessary merges ✔ Helps in hotfix scenarios ✔ Keeps branches clean and controlled ✔ Saves time during production fixes ⚠️ Be careful: Cherry-picking creates a new commit → so overusing it can make history messy if not handled properly. 💭 In automation projects, this is super useful when a small fix in test scripts or pipeline config needs to be quickly applied across branches without disturbing ongoing work. #Git #VersionControl #AutomationTesting #SDET #DevOps #SoftwareTesting #Learning