🚀 Day 84 - GitHub Actions 🚀 Today I explored GitHub Actions, a powerful tool used to automate development workflows directly inside GitHub. GitHub Actions helps developers automatically build, test, and deploy applications whenever code is pushed to the repository. This makes development faster and reduces manual work. 🔹 What I learned today: Basics of GitHub Actions workflows Understanding workflows, jobs, and steps How automation runs when code is pushed or a pull request is created How GitHub Actions helps implement CI/CD pipelines It’s amazing how automation can simplify development and improve productivity. Excited to continue learning more about deployment and DevOps tools in the coming days! 💻⚡ #100DaysOfCode #GitHubActions #DevOps #CI_CD #BackendDevelopment
GitHub Actions Automates Development Workflows
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⚙️ GitHub Actions: Automate Everything From Code to Production! Yesterday evening (27th April 2026), I attended a live session on GitHub Actions by Shubham Londhe and honestly, it was one of those sessions you don’t want to end. 🔥 Beautifully structured, hands-on, and packed with real-world examples. That one session was enough to inspire me to sit down and write this blog. 🙏 I’ve put together a complete beginner-friendly guide on GitHub Actions covering everything from what it is, the problems it solves, core concepts like Workflows, Jobs, Steps, Runners and Secrets, all the way to a real-world CI/CD pipeline walkthrough. If you’re in DevOps or just getting started, this one’s for you. 📄 Full blog attached — give it a read! A huge thank you to Shubham Londhe 🙏❤️ for delivering such a wonderful session. The way you break down complex topics and make them feel simple is a rare skill. The DevOps community is genuinely lucky to have you. If you haven’t attended one of his sessions yet, do yourself a favour and don’t miss the next one. Drop a comment if you found this helpful, or share it with someone who’s just starting their DevOps journey! #GitHubActions #DevOps #CICD #Automation #GitHub #CloudEngineering #DevOpsCommunity #LearningInPublic
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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
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🚀 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
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🚀 Simplify your workflow with CI/CD using GitHub Actions Automate your build, test, and deployment processes seamlessly — no complexity, just efficiency. With GitHub Actions, you can streamline your entire delivery pipeline, reduce errors, and ship faster with confidence. Start small, iterate fast, and let automation do the heavy lifting. 💡 #CICD #GitHubActions #DevOps
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Mastering Git & GitHub is a key step toward building strong DevOps foundations ⚙️💻 From initializing repositories 📁 to tracking changes 🔍, managing branches 🌿, and collaborating through remote repositories 🌐 — every step brings clarity, control, and efficiency to the development workflow 🚀 When version control is done right ✅, teams move faster ⚡, code stays organized 📌, and deployments become more reliable 📈 Strong fundamentals always lead to better execution 🔥 #DevOps #Git #GitHub #VersionControl #CloudComputing #Automation #CI_CD #SoftwareEngineering #Infrastructure #DevOpsEngineer #TechGrowth #Engineering #ITSkills #ScalableSystems #ModernDevelopment #LearnDevOps #CloudEngineer #TechCareer
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𝗚𝗶𝘁 𝗕𝗿𝗮𝗻𝗰𝗵𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗠𝗮𝗶𝗻 𝗼𝗿 𝗧𝗿𝘂𝗻𝗸-𝗕𝗮𝘀𝗲𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Everyone commits directly to one main branch with small, frequent updates. Simple to follow, but it needs a lot of discipline from every single person on the team. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗕𝗿𝗮𝗻𝗰𝗵𝗶𝗻𝗴: Every feature gets its own separate branch. Once the work is done, it gets merged back to main. Very easy to manage and track, and honestly the most commonly used approach in most teams I have seen. 𝗚𝗶𝘁 𝗙𝗹𝗼𝘄: This one has dedicated branches for everything, main, develop, feature, release, hotfix. Slightly more process-heavy but very useful once your project or team starts growing. 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗕𝗿𝗮𝗻𝗰𝗵𝗶𝗻𝗴: A separate branch is created for each release and all bug fixes are handled there before anything goes live. Very helpful when you want stable and controlled deployments. One thing I genuinely realised after all this is that there is no perfect branching strategy that works for everyone. It completely depends on your team size, your project, and how frequently you are shipping things. #copado #githubactions #DevOps #Git #GitHub #CICD #VersionControl #CloudComputing #Docker #Kubernetes #AWS #Automation #LearningDevOps #DevOpsTips
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Fully agree, there’s no one-size-fits-all here. That said, I’ve seen teams struggle when branching becomes the main mechanism for controlling releases, eventually abandoning the process for the sake of speed. That’s why Serpent handles that complexity under the hood, enforcing whatever different branching strategy the team chooses without getting in the way so they can focus on actually shipping features.
Salesforce DevOps Architect | Salesforce Release Manager | Azure DevOps | Salesforce Administrator |Salesforce CRM ||16X Salesforce Certified || 6x Copado Certified || 5X Gearset Certified || 3X AutoRabit Certified ||
𝗚𝗶𝘁 𝗕𝗿𝗮𝗻𝗰𝗵𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗠𝗮𝗶𝗻 𝗼𝗿 𝗧𝗿𝘂𝗻𝗸-𝗕𝗮𝘀𝗲𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Everyone commits directly to one main branch with small, frequent updates. Simple to follow, but it needs a lot of discipline from every single person on the team. 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗕𝗿𝗮𝗻𝗰𝗵𝗶𝗻𝗴: Every feature gets its own separate branch. Once the work is done, it gets merged back to main. Very easy to manage and track, and honestly the most commonly used approach in most teams I have seen. 𝗚𝗶𝘁 𝗙𝗹𝗼𝘄: This one has dedicated branches for everything, main, develop, feature, release, hotfix. Slightly more process-heavy but very useful once your project or team starts growing. 𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗕𝗿𝗮𝗻𝗰𝗵𝗶𝗻𝗴: A separate branch is created for each release and all bug fixes are handled there before anything goes live. Very helpful when you want stable and controlled deployments. One thing I genuinely realised after all this is that there is no perfect branching strategy that works for everyone. It completely depends on your team size, your project, and how frequently you are shipping things. #copado #githubactions #DevOps #Git #GitHub #CICD #VersionControl #CloudComputing #Docker #Kubernetes #AWS #Automation #LearningDevOps #DevOpsTips
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𝐆𝐢𝐭𝐇𝐮𝐛 𝐀𝐜𝐭𝐢𝐨𝐧𝐬 𝐯𝐬. 𝐆𝐢𝐭𝐋𝐚𝐛 𝐂𝐈/𝐂𝐃: 𝐖𝐡𝐢𝐜𝐡 𝐬𝐢𝐝𝐞 𝐚𝐫𝐞 𝐲𝐨𝐮 𝐨𝐧? 🤔 It's one of the biggest debates in the DevOps world. Both are powerhouse tools, but they approach automation with a different philosophy. Here’s my quick breakdown: ▶️ 𝐆𝐢𝐭𝐇𝐮𝐛 𝐀𝐜𝐭𝐢𝐨𝐧𝐬: Think of it like a flexible, event-driven system. The real magic is the Marketplace. You can grab pre-built Actions for almost anything, making your workflow.yml clean and composable. It’s like building with high-quality Lego bricks. ▶️ 𝐆𝐢𝐭𝐋𝐚𝐛 𝐂𝐈/𝐂𝐃: This feels more like a fully integrated, opinionated assembly line. The gitlab-ci.yml is structured with clear Stages (Build, Test, Deploy) that run in order. It gives you a very clear, top-down view of your entire Pipeline. For me, the choice often comes down to the ecosystem and team preference: • GitHub Actions : for its massive community and plug-and-play reusability. • GitLab CI/CD : for its seamless, all-in-one platform experience when you're already using GitLab for source control. What's your team's choice and why? Drop your thoughts in the comments! 👇 #DevOps #CI #CD #GitHub #GitLab #GitHubActions #GitLabCI #Automation #SoftwareEngineering
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🚀 If you're new to DevOps pipelines, here's the simplest way to understand how these 3 tools work together: 🔧 𝐒𝐭𝐞𝐩 1 — 𝐉𝐞𝐧𝐤𝐢𝐧𝐬 (𝐂𝐈) Jenkins watches your Git repo. The moment you push code, it: → Pulls the latest changes → Runs unit tests & security scans → Triggers the next stage automatically No manual clicks. No missed builds. 🐳 𝐒𝐭𝐞𝐩 2 — 𝐃𝐨𝐜𝐤𝐞𝐫 (𝐁𝐮𝐢𝐥𝐝) Jenkins calls Docker to: → Build a container image from your Dockerfile → Tag it with a version (e.g. app:v1.0.3) → Push it to a container registry (AWS ECR, DockerHub) Your app is now portable. Runs the same everywhere. ⎈ 𝐒𝐭𝐞𝐩 3 — 𝐇𝐞𝐥𝐦 (𝐂𝐃) Helm takes that image and deploys it to Kubernetes: → Uses templated charts (no copy-pasting YAML!) → Tracks release versions → Rollback in one command if something breaks Together they form a complete pipeline: 𝑪𝒐𝒅𝒆 → 𝑻𝒆𝒔𝒕 → 𝑩𝒖𝒊𝒍𝒅 → 𝑷𝒂𝒄𝒌𝒂𝒈𝒆 → 𝑫𝒆𝒑𝒍𝒐𝒚 This is the foundation of every modern DevOps workflow — whether you're at a startup or a bank. #Jenkins #Docker #Helm #Kubernetes #CICD #DevOps #CloudNative #DevSecOps #PipelineAutomation #SoftwareEngineering
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🚀 Day 8/30 – Understanding GitHub Actions (CI/CD Basics) Today I took my first step into automation using GitHub ⚙️🔥 After learning collaboration workflows, I explored how we can automate tasks using GitHub Actions — an essential part of DevOps 🚀 🔹 What I learned today: • What is CI/CD and why it is important • Introduction to GitHub Actions • Understanding workflows & YAML files • How automation helps in testing & deployment 💻 Hands-on: • Created my first GitHub Actions workflow • Ran a basic automated job • Understood how triggers work (push, pull request) 💡 Key takeaway: Automation is the heart of DevOps — it saves time, reduces errors, and improves efficiency ⚡ Small steps today, big impact tomorrow 🚀 #Day8 #30DaysChallenge #DevOpsJourney #GitHubActions #CI_CD #LearningInPublic #CareerGrowth #AWS
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