Day 25 of #100DaysOfDevOps: Git branching, merging, and pushing

Ever wondered what happens after you run a simple git push? A real DevOps pipeline looks like this: 1. Code pushed → automated tests run 2. Static code analysis checks issues 3. Build created (Docker image or binary) 4. Security scans run 5. Deployment to staging 6. Manual/automated approval 7. Production rollout 8. Monitoring + alerting Reaching this level takes time — but once teams automate the entire workflow, deployment becomes a daily activity instead of a stressful event. #devops #git #github #actions #gitpush

Version Control to Deployment — My DevOps Workflow in Action Behind every seamless deployment lies a well-structured workflow — and that’s exactly what DevOps is all about. Here’s a glimpse of my typical DevOps process 👇 🔹 Version Control (Git & GitHub): Every change starts with a branch — structured, reviewed, and merged with clean commit history. 🔹 CI/CD (Jenkins): Automated builds and tests ensure that only stable code moves forward. 🔹 Containerization (Docker): Packaging apps with dependencies to achieve consistent environments across systems. 🔹 Orchestration (Kubernetes): Deploying and managing multiple containers efficiently, ensuring scalability and zero downtime. 🔹 Monitoring (CloudWatch / Prometheus): Tracking metrics, logs, and uptime to keep systems running smoothly. Each stage connects the previous one — building a bridge from code to production. It’s not just about tools, but about creating a culture of automation, collaboration, and reliability. #DevOps #CI_CD #Docker #Kubernetes #CloudComputing #Automation #GitHub #Jenkins #TechJourney #AniketGaud

Quick IT Tip: In a world of endless tools, mastering Git for version control can save your team hours of headaches. Pro move: Use git rebase instead of merge for cleaner histories, but always on feature branches! What’s your go-to Git command that changed your workflow? Drop it in the comments! Let’s connect if you’re in IT, devops, or tech innovation. #IT #TechTips #DevOps #Git #SoftwareDevelopment

GitOps is a way to manage infrastructure and applications using Git as the single source of truth. By combining version control with automation, teams can track, deploy, and roll back changes easily, ensuring systems always match what’s defined in the Git repository. Reach out to us to discuss how it can fit into your DevOps strategy. info@finsense.co.ke #gitops #git #devops #digitaltransformation

🚀 Ready to Level Up Your DevOps Game? If you’ve ever wondered how automation really works behind the scenes when developers say “CI/CD,” this one’s for you 👩💻✨ I just published a new article: 🔗 Automate Everything: What Are GitHub Actions? A complete beginner-friendly guide that breaks down: ⚙️ The key components — workflows, jobs, and actions 🧩 How to connect your GitHub repo to automated pipelines 🚀 A simple tutorial to build your first CI/CD workflow from scratch Whether you're just starting with DevOps or want to bring automation into your projects, this guide will help you turn every push into progress! Check it out here 👉 https://lnkd.in/g3Skvzvb #GitHubActions #DevOps #CICD #Automation #SoftwareDevelopment #TechWriting #LearningJourney

This project demonstrates a fully automated CI/CD pipeline for Docker using GitLab, designed to streamline building, testing, and deploying containerized applications. The pipeline leverages GitLab CI/CD and Docker-in-Docker to automatically build images, tag them based on branch workflows, and push them securely to the GitLab Container Registry. By using GitLab predefined environment variables, the setup ensures secure and efficient deployment without exposing personal credentials. This project highlights DevOps best practices, continuous integration, and continuous deployment, making it ideal for developers and teams looking to modernize containerized application workflows. #GitLab #CICD #Docker #DevOps #ContinuousIntegration #ContinuousDeployment #ContainerRegistry #Automation #DockerPipeline #DevOpsBestPractices

Boost your DevOps game! 🚀 Integrating branching strategies with CI/CD pipelines is a game-changer for scaling workflows and enhancing collaboration. Here's how it works: Branch → Commit → Push → Build → Test → Deploy → Monitor. Automate your Git workflows to trigger CI/CD jobs seamlessly! 💻🔄 Check out the flow: Developer commits → Branch triggers CI → Automated Build & Test → Merge to Main → Auto Deploy + Monitor. Streamline your process for faster, smarter deliveries! #DevOps #CICD #Git #BranchingStrategies #Automation #SoftwareDevelopment

GitOps is changing how teams deploy to Kubernetes 🚀 The principle is simple: Git as the single source of truth for declarative infrastructure and applications. Every change goes through Git: → Pull requests for review → Git history as audit trail → Automated sync to clusters → Rollback = git revert Benefits that matter: → No manual kubectl apply in production → Disaster recovery through git clone → Multi-cluster deployments from one repo → Security through code review Tools like Argo CD and Flux make this seamless. Declare desired state in Git, let the tools handle convergence. Learn more: https://opengitops.dev/ #GitOps #Kubernetes #DevOps #ArgoCD #CNCF

💡 Both manage code, but their approach to DevOps is worlds apart. GitHub and GitLab sound similar — both help you manage code using Git — but they’re not the same. 🚀 GitHub and GitLab are both web-based platforms that host Git repositories — they help developers manage, store, and collaborate on code. The main difference lies in their features, deployment options, and DevOps integrations. 🧠 GitHub → Best for collaboration and open-source projects. GitLab → Best for end-to-end DevOps lifecycle and enterprise automation. 💬 A developer building a public project → chooses GitHub. A company managing code, testing, and deployment in one system → chooses GitLab. 🔁Which one do you prefer for your team — GitHub or GitLab? Comment your experience 👇 #GitHub #GitLab #DevOps #CICD #TechLearning