Episode 4 of our DevOps Tools Engineer 2.0 Introduction series explores how #Git serves as the backbone of modern software development, #opensource collaboration, and #DevOps workflows. 🛠️ Learn more about the updated DevOps exam’s objective 701.3 (Source Code Management) from Fabian Thorns and Uirá Ribeiro, along with external resources: https://lpi.org/dl72 Linux Professional Institute (LPI) #SCM #DevOps #Git #VersionControl #opensource #FOSS #SoftwareDevelopment
Git in Modern Software Development and DevOps
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Episode 4 of our DevOps Tools Engineer 2.0 Introduction series explores how #Git serves as the backbone of modern software development, #opensource collaboration, and #DevOps workflows. 🛠️ Learn more about the updated DevOps exam’s objective 701.3 (Source Code Management) from Fabian Thorns and Uirá Ribeiro, along with external resources: https://lpi.org/dl72 Linux Professional Institute (LPI) #SCM #DevOps #Git #VersionControl #opensource #FOSS #SoftwareDevelopment
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🚀 Git Branching Strategy — A Key to Clean and Scalable Development After understanding Git fundamentals, the next important step is using a proper branching strategy. A well-defined Git branching model helps teams collaborate efficiently and maintain stable releases. Commonly used branches: 🔹 main — Production-ready stable code 🔹 develop — Integration branch for features 🔹 feature/* — New feature development 🔹 bugfix/* — Fixing issues 🔹 release/* — Preparing production releases 🔹 hotfix/* — Urgent production fixes Why does branching strategy matter? ✅ Keeps production code stable ✅ Enables parallel development ✅ Simplifies release management ✅ Reduces merge conflicts ✅ Improves team collaboration ✅ Supports CI/CD workflows A structured branching model is especially important in DevOps and cloud environments where deployments happen frequently. #DevOps #Git #Github #CloudComputing #AWS #Docker #Kubernetes #CICD #Linux #Automation #TechCareers #Git #GitHub #CICD #BranchingStrategy #CloudComputing #VersionControl #Hiring #ContinuousLearning #BuildingConnections #OpenWork
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Day 11 – File Ownership Challenge 🔐 Today’s #90DaysOfDevOps challenge focused on mastering file and directory ownership in Linux using chown and chgrp. At first, it seemed like a simple exercise in changing owners and groups. But when I thought about my day-to-day DevOps work, I realized how often this comes up: 💡 Real-life examples where I use this daily: Making sure application logs are owned by the right service account so CI/CD pipelines don’t fail mid-run. Setting correct ownership for shared team directories so developers can collaborate without hitting “Permission denied” errors. Managing container volumes where ownership decides whether the app inside the container can read/write data. Ensuring deployment artifacts in build pipelines are accessible to the right users/groups. Keeping production servers secure by restricting sensitive files to specific owners and groups. ✅ What I practiced today: Changing ownership with chown and chgrp Recursive ownership changes across directories (-R) Setting up realistic scenarios with multiple users and groups Verifying everything with ls -l ⚙️ Impact: Getting ownership right means smoother deployments, fewer late-night permission errors, and more reliable collaboration across environments. It’s one of those foundational skills that quietly powers everything from Docker volumes to Kubernetes pods. Day 11 reminded me that DevOps isn’t just about flashy tools – it’s about mastering the basics that keep systems secure and workflows efficient. #Day11 #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham #Linux #FileOwnership #DevOps
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⚔️ Git Merge vs Rebase — Choosing the Right Strategy Matters When working with Git in collaborative environments, one common question comes up: Should we use Merge or Rebase? Both achieve the same goal — integrating changes — but the impact on commit history and team workflow is very different. 🔹 Git Merge • Preserves complete commit history • Creates a merge commit • Easier for team collaboration • Safer for shared branches • Useful for tracking feature integration 🔹 Git Rebase • Creates a linear commit history • No extra merge commits • Cleaner project timeline • Easier to read history • Ideal for local branch cleanup 💡 When to Use Merge Shared branches, Team-based feature integration, Production-safe workflows , When history transparency matters 💡 When to Use Rebase Cleaning local commits , Before creating Pull Requests , Maintaining linear history , Small feature branches ⚠️ Golden Rule Never rebase public/shared branches — it rewrites history and can break collaboration. Choosing the right strategy improves: 🚀 Code readability , Team collaboration , CI/CD workflows , Release management What does your team prefer — Merge commits or Rebase workflow? #DevOps #Cloud #Git #Github #VersionControl #CICD #CloudTechs #BranchingStrategy #CloudComputing #AWS #Docker #Code #Automation #Linux #TechCareers #ContinuousLearning #Openwork #BuildingConnections #CloudComputing #VersionControl
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Recently I worked on CI/CD pipeline project to understand how automated deployments actually work in practice. This was my first time practically implementing a CI/CD workflow, and it helped me understand how different tools integrate together. Instead of only learning the tools individually, I tried connecting them together in a small working setup. 🔹 Server Side Configuration • Used Ansible to configure the target Linux server • Installed Docker and Docker Compose using automation • Prepared the server environment for running containers • Ensured the server was ready for automated deployments 🔹 CI/CD Pipeline • Code pushed to GitHub • GitHub webhook triggers Jenkins pipeline • Jenkins pulls the latest code from the repository • Pipeline deploys the application using Docker Compose • Application runs inside an Nginx container 🔹 What I Learned • How a CI/CD pipeline works end-to-end • How GitHub webhooks trigger Jenkins pipelines • Using Ansible for server configuration and automation • Deploying containers using Docker Compose • Connecting multiple DevOps tools in a simple workflow Tech Stack: GitHub | Jenkins | Ansible | Docker | Docker Compose | Nginx | Linux This was a small but useful learning project that helped me understand how these tools work together in a real workflow. #DevOps #CICD #Jenkins #Docker #Nginx #LearningJourney #Infrastructure #SRE #Platform
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📌 Continuing my DevOps Journey — this time with Git & GitHub! Git is the backbone of every modern development workflow. No Git = no DevOps. Here's what I covered: ✅ How Git works — Working Directory → Staging → Local Repo → GitHub ✅ Core commands — init, add, commit, push, pull, log, status ✅ Branching & Merging — and handling conflicts ✅ Stash, Reset & Revert — undoing changes the right way ✅ Tags, Clone & .gitignore ✅ Pull Requests — reviewing before merging Every DevOps pipeline starts with a git push. Now I actually understand what happens after that. 🚀 #DevOps #docker #linux #Git #GitHub #VersionControl #CloudEngineering #cheatsheet
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🚀 Day 2 of My DevOps Journey — Git (Where Real Collaboration Begins) Yesterday was Linux. Today, I stepped into Git — the backbone of DevOps workflows. At first, Git felt simple… until I actually started working with it. 🔹 What I Practiced: Initializing a repo (git init) Branching strategy (main, feature/*) Merging vs Rebasing Fixing merge conflicts Using git stash when switching work Writing meaningful commit messages 🔹 Real Challenge I Faced: I accidentally: ❌ Made changes on the wrong branch ❌ Used stash incorrectly ❌ Faced merge conflicts And honestly… this is where real learning started. 🔹 What I Learned: ✔ git rebase helps keep history clean ✔ Merge conflicts are not errors — they are decisions ✔ Commit messages matter more than we think 💡 Key Learning: “Git is not about commands. It’s about thinking in versions.” I also practiced: Squashing commits using interactive rebase Understanding how teams collaborate using PRs This felt like a big step toward real-world DevOps work. Next → Docker (containers, images, real deployment) If you’ve struggled with Git before, you’re not alone. Let’s grow together 🤝 #DevOps #Git #VersionControl #Cloud #LearningInPublic #BuildInPublic #CI_CD
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DevOps Concept of the Day: Git Basics Git tracks every code change, enabling collaboration, rollbacks, and full audit history. Commits = snapshots, branches = parallel work, pull requests = review gates to merge. Today's DevOps/MLOps update (ArgoCD): stable: Bump version to 3.3.7 on release-3.3 branch (#27377) Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by:… https://lnkd.in/dcsfY_Ni Why it matters: Staying current with releases means your pipelines stay secure, efficient, and compatible. #Git #DevOps #VersionControl #GitHub
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Today I learned one of the most important tools in DevOps — version control using Git and GitHub. 🔹 What is Git? A version control system that helps track changes in code and collaborate with others. 🔹 What is GitHub? A platform to host and manage Git repositories online. 🔹 Commands I learned: 📁 git init – initialize repository ➕ git add . – add files 💾 git commit -m "message" – save changes 🚀 git push – upload code to GitHub Now I can track my code, manage versions, and collaborate like a developer 💪 Step by step, building real DevOps skills 🚀 #DevOps #Git #GitHub #LearningJourney #VersionControl #FutureEngineer
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Module 7 of my DevOps bootcamp hit different. 🐳 Docker. Everyone talks about it. I thought I understood it. I didn't. I'm a full-time support engineer, studying DevOps on the side, trying to navigate a career change while keeping everything else together. When I got to Docker, I had to stop and rebuild my mental model from scratch. Here's what actually clicked for me: A Docker image is NOT like an ISO file you use to install an OS. It's a layered blueprint — OS base, runtime, your application — stacked on top of each other, read-only, sitting on disk doing nothing. A container is that blueprint brought to life. Running, isolated, with its own process and memory. And the difference between Docker and a VM? A VM virtualizes the entire OS including the kernel. Docker shares the host kernel and only isolates the application layer. That's why containers start in seconds and VMs take minutes. Simple in hindsight. But nobody explains it that way at first. The real challenge came next. Portfolio: https://lnkd.in/dFx3dQT4 #DevOps #Docker #LearningInPublic #CareerChange #DevOpsEngineer #TechCommunity
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