Jenkins CI Integration with GitHub Troubleshooting

Pipeline diagram to visualize the flow.It captures the whole lifecycle at a glance: Code → Build → Dockerize → Push → Deploy On the left: Jenkins pipeline stages. On the right: GitHub Actions workflow stages. Both converge at Docker Hub, then deploy into Kubernetes. This way you can revise visually: Blue side = Jenkins (Checkout → Build/Test → Docker → Deploy). Gray side = GitHub Actions (Checkout → Build/Test → Docker → Deploy). Both end in Kubernetes cluster pods + service exposure. It’s the perfect one‑shot view for CI/CD journey. #devops #cicd #githubactions #jenkins

🚀 Git Workflow Demo Completed Here’s the workflow I documented for application development: - Repo setup and remote connection - Branching (`main`, `dev`, `feature`) - Merge and rebase conflict resolution - Release tagging (`v1.0`) 👉 Repo link: https://lnkd.in/gJhPbByC   📄 Full documentation: Git workflow demo.docx (included in repo) This project shows a structured workflow that can be applied to any application and forms the foundation for CI/CD pipelines. #github#devops#cicd#versioncontrol#applicationdevelopment#tech#cloudcomputing

🚀 Day 29/30 – CI/CD with Jenkins (Basic Pipeline) Today, I implemented a basic CI/CD pipeline using Jenkins. 📊 What I learned: • Jenkins pipeline basics • Job automation • Integrating Git with Jenkins • Build & deployment flow 🛠️ What I did: • Created a simple Jenkins job • Connected Git repository • Configured build trigger • Ran and monitored the build process 💡 Key Takeaway: One push → Automatic build & deploy 🚀 📌 Flow: Developer → Git → Jenkins → Build → Deploy 🔥 Bonus Insight: Automation reduces human error and saves time significantly ⏱️ #Jenkins #DevOps #CICD #Automation #LearningInPublic

🚀 Day 12/100 of My DevOps Journey – Diving into Jenkins 🔧 Today, I focused on understanding Jenkins, one of the most powerful automation servers in the DevOps ecosystem. Here’s what I explored: 💡 Key Takeaway: Jenkins makes it incredibly easy to automate repetitive tasks and build robust CI/CD pipelines. Its plugin ecosystem is a game-changer, allowing endless customization based on project needs. 🔍 What stood out to me is how Jenkins pipelines (especially declarative pipelines) bring structure and clarity to automation workflows. 📌 Next Steps: Integrate Jenkins with GitHub Build a multi-stage pipeline Explore Docker integration Consistency is the goal. Growth is the outcome. 💪 #DevOps #Jenkins #CICD #100DaysOfCode #Automation #LearningJourney

🚀 Jenkins + GitHub Integration (CI/CD Basics) Documented a complete setup of integrating Jenkins with GitHub covering: ✔ Git Pull using pipeline ✔ Webhook-based auto trigger ✔ Secure Git Push from Jenkins Also explored the difference between credentialsId and withCredentials — a small concept but very important in real pipelines. 📊 Sharing my step-by-step PPT for reference 👇 #DevOps #Jenkins #GitHub #CICD #LearningInPublic

🚀 Day 17 of #100DaysOfDevOps 🚀 Today’s focus was on integrating GitHub with Jenkins CI to achieve fully automated Continuous Integration. ✅ What I learned today: Pulling source code from GitHub to Jenkins CI server ✅ Public repositories ✅ Private repositories (secure access) Configuring automatic CI triggers No manual code checkout Builds start automatically on every change Understanding how Jenkins + GitHub work together to enable true CI 🔑 Key takeaway: CI should be automatic, secure, and event‑driven — manual steps defeat the purpose of DevOps. This learning clearly showed how Jenkins acts as a powerful CI engine when connected properly with GitHub. 📈 Step by step, moving closer to real‑world DevOps pipelines. #DevOps #Jenkins #GitHub #CI #ContinuousIntegration #Automation #DevOpsJourney #100DaysChallenge #LearningEveryDay

#100DaysOfDevOps - Day Forty - Five After introducing GitHub Actions yesterday and comparing it with Jenkins, the goal today was to define the structure first before plugging in commands stage by stage. That was the same approach I used with Jenkins: start with the framework, then build on it gradually. What I worked on today: ✅ identified the main building blocks of a GitHub Actions workflow: name on jobs ✅ understood what each one represents ✅ configured the workflow trigger using push ✅ limited the trigger to the main branch ✅ defined the runner using runs-on: ubuntu-latest ✅ understood the difference between: uses for reusable marketplace actions run for direct shell commands One thing I really appreciated today is how similar the underlying CI thinking still is. Even though GitHub Actions looks different from Jenkins, the core idea is still the same: define the structure, define the trigger, define the execution environment, and then define the steps. Tomorrow, the next step is to start plugging real commands into this workflow. YouTube Video Link: https://lnkd.in/er9GVjf7 #DevOps #100DaysOfDevOps #GitHubActions #CICD #ContinuousIntegration #Automation #GitHub #YAML #PlatformEngineering #CloudEngineering #LearningInPublic #TechdotSam

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

GitHub Actions: Build Your First CI/CD Pipeline for Code Testing Setting up automated testing with GitHub Actions doesn't have to be complicated. This guide shows you how to create a simple CI/CD pipeline that runs tests every time you push code to your repository. Read the full how-to guide: https://lnkd.in/dR74ZgeM #CICD #OpenSource #GitHub #Productivity #DevOps #ITTips #TechTips #Automation #SoftwareDevelopment #Testing

GitLab CI/CD Crash Course for Beginners 2026 : https://lnkd.in/eKF79vzr Stop deploying manually. GitLab CI/CD lets you build, test, scan, and deploy your code automatically — right inside GitLab, no extra tools needed. This crash course takes you from zero to a full production pipeline in 20 minutes. 🔥 In this video, you'll learn: • What CI/CD actually means (CI vs CD vs Continuous Deployment) • How GitLab pipelines, stages, and jobs work • Writing your first .gitlab-ci.yml from scratch • GitLab Runners: shared, self-hosted, and Kubernetes • Variables & secrets — the safe way • Artifacts vs Cache — the difference explained simply • Environments: staging auto-deploy + manual production gate • Rules for controlling when jobs run • needs: to cut pipeline time in HALF (DAG pipelines) • Parallel & Matrix builds for cross-version testing • Built-in Security scanning: SAST, dependency scanning, secret detection • Top 10 GitLab CI/CD best practices #GitLabCICD #GitLab #CICD #DevOps #Kubernetes #Docker #Pipeline #Automation #DevSecOps #SoftwareEngineering