🚀 Learning GitHub Actions & CI/CD in Public Today I practiced building CI/CD workflows using GitHub Actions as part of my DevOps learning journey. Here’s what I implemented: ✅ Created workflows triggered on push and pull requests ✅ Built a multi-stage CI/CD pipeline (Code → Build → Test → Deploy) ✅ Learned how job dependencies work using needs ✅ Added scheduled workflows using cron syntax ✅ Understood how PR checks help maintain code quality It feels great to move from theory to hands-on practice and understand how real automation pipelines work. Next goal: Integrating Docker build and deployment steps into the pipeline. #DevOps #GitHubActions #CICD #Docker #Automation #LearningInPublic #Cloud #Monitoring
GitHub Actions & CI/CD Pipeline Implementation
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🚀 Starting My DevOps Journey with GitHub Actions! Today, I’m officially beginning my deep dive into ⚙️ GitHub Actions — one of the most powerful tools for automation in DevOps. Here’s what I’ll be mastering step by step 👇 📌 My Learning Roadmap: 1️⃣ Understanding Git & GitHub fundamentals 2️⃣ Exploring GitHub Actions & its core concepts 3️⃣ Learning workflows, jobs, and steps 🧩 4️⃣ Deep dive into runners 🖥️ 5️⃣ Implementing DevSecOps integrations 🔐 6️⃣ Building complete CI/CD pipelines 🔄 7️⃣ Working with OCI standard pipelines 📦 8️⃣ Troubleshooting real-world issues 🛠️ 9️⃣ Managing GitHub organizations 🏢 🔟 Creating and managing centralized pipelines 🎯 💡 My goal is simple: 👉 Move from beginner to confidently building real-world CI/CD pipelines I’ll be sharing everything I learn along the way — practical, simple, and beginner-friendly 💯 📺 I also have a YouTube channel where I’ll be posting step-by-step tutorials 👉 If you want to learn DevOps in a simple way, don’t forget to subscribe 🙌 YouTube Channel To Follow https://lnkd.in/dnZTSrhG 🔥 Let’s grow together in this DevOps journey! #DevOps #GitHubActions #CICD #Automation #LearningInPublic #Cloud #BeginnerToPro #TechJourney
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From Code to Production — My DevOps Learning 🚀 While working on my DevOps projects, I understood how powerful CI/CD pipelines are. Here’s what actually happens behind the scenes: 🔹 Code commit triggers pipeline 🔹 Automated build & testing ensures quality 🔹 Review app helps validate changes 🔹 Approval → Merge → Production deployment 💡 What I learned: ✔ Automation saves time ✔ Early testing reduces failures ✔ CI/CD boosts developer productivity This is why companies rely heavily on DevOps practices today. Still learning, still building 🔧 #DevOps #LearningInPublic #CICD #FullStackDeveloper #Cloud #GitHubActions #Docker
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Day-01/90 of #90DaysOfDevOps 🛡️ Hello Doston, This is my first official post on LinkedIn and I'm announcing to enter the Devops World with the best mentor mostly known as 'DEVOPS WALE BHAIYA' Shubham Londhe Following the core principle: 🔹 WHY? Because I want to upgrade myself to explore new technologies, tools and methodology. 🔹 WHAT? Devops methodology, Docker, Kubernetes, Agentic AI, etc. These are the things I'm going to learn in this journey. 🔹 HOW? By posting my daily achievement/learning in public. And even posting errors and solutions during learning. THE STRATEGY: Beginner ➔ (Linux, Git, GitHub, Docker) Intermediate ➔ (CI/CD, Container Orchestration, Cloud Services, IAC) Advanced ➔ (Monitoring and Live Projects) DevOps journey: Loading... ⏳ #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham #AWS #CloudComputing #LearningInPublic #Docker #Kubernetes #Terraform #CICD #Devops #TechJourney
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🚨 Most DevOps Beginners Focus on Tools — I Did Too When I started learning DevOps, I focused on: Docker Kubernetes Terraform CI/CD But after building and debugging real deployments, I realized something important. Most failures were NOT because of tools. They were because of: • Wrong configurations • Missing readiness checks • Poor understanding of system behavior • Not checking logs properly For example: A pod can be Running but not Ready A deployment can look successful but still fail traffic A pipeline can pass but deployment can still break That changed how I approach DevOps. Now I focus more on: Understanding failures Reading logs Observing system behavior Debugging step by step Tools are important. But understanding systems is what makes you reliable. Still learning by breaking and fixing real scenarios. #DevOps #Kubernetes #Learning #Cloud #Engineering
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Day 7 of My DevOps Journey: Introduction to Docker 🐳🚀 Today I learned about Docker, a powerful tool used in DevOps for containerization. 🔹 What is Docker? Docker is a platform that allows developers to package applications and their dependencies into containers. 🔹 Why Docker is important? ✅ Works on any system ✅ Lightweight compared to virtual machines ✅ Fast deployment 🔹 Key Concepts: 📦 Container – Runs application 🖼️ Image – Blueprint of container ⚙️ Docker Engine – Runs containers 🔹 Basic Commands I explored: 🚀 docker run – run container 📥 docker pull – download image 📋 docker ps – list containers Learning Docker feels like a big step towards real-world DevOps practices 💪 #DevOps #Docker #Containerization #LearningJourney #Cloud
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Struggling to remember YAML syntax? You’re not alone. When I started working with Kubernetes, Docker Compose, and CI/CD pipelines, YAML felt confusing. But here’s what actually helped me remember it 👇 🔹 Think in structure, not syntax YAML is just key : value + indentation No brackets, no semicolons — just clean hierarchy 🔹 Follow this simple pattern - key: value - key: subkey: value 🔹 Practice with real use cases Instead of memorizing, build: ✔ Kubernetes deployment.yaml ✔ docker-compose.yml ✔ Jenkins pipeline YAML 🔹 Use this quick checklist ✔ Proper indentation (spaces, not tabs) ✔ Consistent structure ✔ Keep it readable 🔹 Pro Tip Copy → Modify → Practice → Repeat That’s how YAML sticks. I stopped “memorizing” YAML and started using it daily — that’s when it finally clicked. 💡 Don’t memorize syntax. Understand structure. #DevOps #YAML #Kubernetes #Docker #CICD #Learning #TechTips #Cloud
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While learning DevOps, one tool that keeps coming up again and again is Docker — and now I understand why it’s so important. Docker helps you package an application with everything it needs (code, dependencies, environment) so it runs the same everywhere — no more “it works on my machine” problem. Why Docker Matters: Consistent environments across development, testing, and production Lightweight and fast compared to virtual machines Easy to deploy and scale applications Works perfectly with CI/CD pipelines Makes collaboration between teams much smoother Key Topics to Learn in Docker: Docker basics (images, containers) Writing Dockerfile Docker Compose (multi-container apps) Image optimization & best practices Volumes & networking Docker Hub / container registries Basic troubleshooting & debugging My Thought: Docker feels like a foundation skill for DevOps. Without it, managing environments and deployments becomes messy and time-consuming. Still learning, but understanding Docker is already making things much clearer #Docker #DevOps #Cloud #Containerization #LearningJourney
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Devops Fundamentals - CI/CD with AWS +Docker+Ansible+Jenkins By end of this course, You will get Practical Project experience in understanding how all the Devops tools connected together to build robust Automation Infrastructure. https://lnkd.in/gShDvx7X
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🚀 Docker Workflow Simplified! While learning DevOps, I explored how Docker containers actually behave behind the scenes — and this workflow made everything crystal clear 💡 🔹 Key Learnings: docker run = create + start container Containers move between states: created → running → stopped → deleted Commands like stop, start, restart, kill, and pause control lifecycle Restart policies help containers recover automatically OOM (Out of Memory) can also stop containers unexpectedly 📌 Understanding this lifecycle is very important for: Debugging container issues Writing better Dockerfiles Working with CI/CD pipelines DevOps is not just about tools, it's about understanding how things work internally 🔍 #Docker #DevOps #Learning #Cloud #CI_CD #SoftwareEngineering
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⚙️ Jenkins – Made Simple (DevOps Learning) If you’re starting in DevOps, you’ll hear about Jenkins everywhere - here’s a simple way to understand it 👇 👉 Jenkins = Automates your build, test, and deployment process 📌 What Jenkins does: Pulls code from Git Builds the application Runs tests Deploys to server or Kubernetes 🔄 In simple terms: Instead of doing everything manually, Jenkins creates a pipeline that does it for you automatically. 📦 Basic Flow: Developer pushes code Jenkins triggers pipeline Build + Test runs Application gets deployed 💡 Why it’s important: Saves time ⏱️ Reduces human error ❌ Enables faster releases 🚀 ⚡ Example (Pipeline Idea): Stage 1: Code checkout Stage 2: Build (Maven/Gradle) Stage 3: Test Stage 4: Docker build & push Stage 5: Deploy to Kubernetes 🚀 Key Learning: Jenkins is the backbone of many CI/CD pipelines in real-world projects. #Jenkins #DevOps #CICD #Automation #LearningJourney #Cloud
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