🚀 From Confusion to Clarity: Understanding Runners in GitHub Actions When I first started using GitHub Actions, I kept seeing one line everywhere: 👉 "runs-on: ubuntu-latest" But what does it actually mean? 💡 Here’s the simple truth: A Runner is the machine that executes your CI/CD pipeline. Without it, your workflow is just a script sitting idle. 🔍 There are 2 types of runners: 1️⃣ GitHub-hosted Runner - Fully managed by GitHub - Ready-to-use environment - Perfect for quick setups 2️⃣ Self-hosted Runner - Runs on your own infrastructure (like AWS EC2) - Full control over tools & security - Ideal for real-world DevOps pipelines ⚡ Realization moment: Your pipeline is only as powerful as the runner behind it. 📈 As I dive deeper into DevOps, understanding these small concepts is helping me build more scalable and production-ready systems. What was the concept in DevOps that confused you at first? 🤔 #DevOps #GitHubActions #CICD #CloudComputing #AWS #LearningJourney #Automation
Understanding GitHub Actions Runners
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🚀 Kubernetes Commands You’ll Actually Use Daily (Beyond Cheat Sheets) 🚀 Knowing Kubernetes commands is helpful… but knowing the ones you rely on every single day in real-world scenarios is what truly makes you efficient. After ~4 years in DevOps, here are the kubectl commands I consistently use in day-to-day work 👇 🔍 Debugging & Monitoring (Most Frequent) kubectl get pods -o wide kubectl describe pod <name> kubectl logs <pod> kubectl logs -f <pod> kubectl top pods kubectl get events 👉 These are your go-to commands whenever something breaks ⚙️ Working with Pods kubectl exec -it <pod> -- /bin/sh kubectl delete pod <name> kubectl cp <pod>:<path> <local_path> 👉 Essential for troubleshooting and quick interventions 🚀 Deployments & Scaling kubectl get deployments kubectl describe deployment <name> kubectl scale deployment <name> --replicas=3 kubectl rollout status deployment <name> kubectl rollout restart deployment <name> 👉 Used daily for managing releases and scaling apps 🌐 Services & Networking kubectl get svc kubectl describe svc <name> kubectl port-forward svc/<name> 8080:80 👉 Super helpful for local access and debugging 📦 Configuration & Resources kubectl apply -f <file> kubectl delete -f <file> kubectl edit <resource> kubectl get all 👉 Core commands for almost every deployment 🔐 Namespaces & Context Management kubectl get ns kubectl config get-contexts kubectl config use-context <name> kubectl config set-context --current --namespace=<ns> 👉 Helps prevent deploying to the wrong environment 😅 Kubernetes isn’t about memorizing commands… It’s about how quickly you can troubleshoot, fix issues, and deliver changes. #Kubernetes #DevOps #Cloud #AWS #Docker #SRE #PlatformEngineering #K8s #Automation #TechCareers #Learning #DevOpsEngineer #Helm #Jenkins
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🚀 Day 16 of My DevOps Journey — How My CI/CD Pipeline Actually Works I’ve been learning CI/CD for the past few days. Today, I broke down my pipeline into a simple flow: 👉 From code push → to deployment 🔹 My CI/CD Flow: 1️⃣ Code pushed to GitHub 2️⃣ Webhook triggers Jenkins automatically 3️⃣ Jenkins pulls latest code 4️⃣ Docker image is built 5️⃣ Image pushed to Docker Hub 6️⃣ Container deployed on server (EC2) 7️⃣ Application becomes live 🔹 What I Used: - GitHub (code) - Jenkins (automation) - Docker (containerization) - AWS EC2 (deployment) 🔹 Real Issue I Faced: ❌ Pipeline failed due to incorrect image tagging 🔹 How I Fixed It: ✔ Used proper version tagging ("build-${BUILD_NUMBER}") ✔ Ensured consistent naming ✔ Verified Docker commands in pipeline 🔹 What Changed After This: Before: 👉 Manual steps, confusion Now: 👉 One push = automated deployment 💡 Key Learning: “CI/CD is not about automation — it’s about confidence in your deployment.” This project helped me understand: - Real DevOps workflow - How automation reduces errors - How systems work end-to-end Currently building hands-on DevOps projects and open to opportunities. Let’s connect 🤝 #DevOps #CICD #Jenkins #Docker #AWS #Cloud #Automation #LearningInPublic
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I used to think DevOps was just about CI/CD pipelines and automation. Until I saw a perfect deployment… fail in production. The pipeline was green ✅ Terraform applied successfully ✅ Kubernetes pods were running ✅ …but the application was still down for users. The issue? A small network misconfiguration in GCP that no pipeline check caught. That day changed how I see DevOps. It’s not about: • Writing YAML • Running terraform apply • Or deploying containers 👉 It’s about understanding how everything connects under the hood. In real-world systems, DevOps means: • Knowing why a pod is stuck in Pending • Debugging why traffic isn’t reaching your service • Designing infra that doesn’t break under load • And most importantly — fixing things when they do break ⸻ 💡 Over time, I realized: 👉 Tools don’t make you a DevOps engineer 👉 System thinking does ⸻ 📌 Key Takeaway: If you only know how to deploy, you’ll build systems. If you know how to debug, you’ll build reliable systems. #DevOps #SRE #Terraform #Kubernetes #CloudComputing #docker #cicd #cloud
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🎯 Leveling Up My DevOps Skills with Hands-On Projects As part of my journey to deepen my DevOps skills and gain more hands-on experience, I’ve started building practical, real-world projects, beginning with the basics and gradually moving toward advanced, real-world implementations. ➡️ Project 1: End-to-End CI/CD Pipeline - Built a fully automated CI/CD pipeline using GitHub Actions - Containerized a simple web application using Docker - Implemented multi-architecture builds (ARM & AMD64) using Buildx - Automated deployment to AWS EC2 using SSH - Achieved seamless build → push → deploy workflow This project gave me strong insights into automation, containerization, and solving real-world challenges like environment compatibility. 🔜 Next Step Taking this further by working on: 🔶 Kubernetes + Terraform (Infrastructure as Code, scalable deployments, monitoring) GitHub Link : https://lnkd.in/gJ4Ev3KB Focused on learning, building, and continuously improving 🚀 #DevOps #CI_CD #Docker #AWS #GitHubActions #CloudComputing #LearningJourney
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From monitoring systems to CI/CD pipelines, this intermediate stage gave me a clearer picture of how DevOps is implemented in real-world environments. 🚀 We learned how to monitor systems using tools like Prometheus and Grafana, build dashboards for better visibility, and set up alerting to detect issues early. We also explored cloud platforms like GCP and AWS, which enable scalable, flexible, and reliable infrastructure for modern applications. Through Infrastructure as Code with Ansible and Terraform, we understood how to automate provisioning and configuration, making deployments more consistent and efficient. In addition, High Availability & Disaster Recovery introduced us to strategies for minimizing downtime and ensuring systems remain resilient even during failures. Finally, with Git and GitHub Actions, we strengthened our understanding of collaboration, version control, and how CI/CD pipelines help automate the build, test, and deployment process. This journey reinforced the idea that DevOps is not just about tools, but about creating reliable systems through automation, collaboration, and continuous improvement. 💡 Feel free to check out our full summary in the slides! #DigitalSkola #LearningProgressReview #DevOpsEngineer #BootcampDevOpsEngineer
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Just wrapped up learning Terraform Basics, and it’s been a really eye-opening experience. Understanding how infrastructure can be defined, managed, and versioned using code completely changes the way I look at deployments. Instead of manual setup, everything becomes faster, consistent, and scalable. Here’s what I explored during this journey: 🔹 Core concepts of Infrastructure as Code (IaC) 🔹 Writing and managing Terraform configurations 🔹 Providers, resources, and state management 🔹 Creating reusable and modular infrastructure 🔹 Hands-on practice with provisioning real-world resources One key takeaway: Automating infrastructure is not just a skill it’s a necessity in modern DevOps. Still learning and building more projects to strengthen my understanding. Looking forward to diving deeper into advanced Terraform concepts and real-world implementations. If you’re also learning Terraform or DevOps, feel free to connect and share your journey #Terraform #DevOps #InfrastructureAsCode #CloudComputing #LearningJourney
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🚀 Day 7 of My DevOps Journey — GitHub Webhooks (Real-Time CI/CD) Until now, I was triggering Jenkins pipelines manually. Today, I automated the trigger itself. 👉 Push code → Pipeline runs automatically This is what real DevOps looks like. 🔹 What I Practiced: - Setting up GitHub Webhooks - Connecting GitHub → Jenkins - Configuring webhook triggers in pipeline - Testing end-to-end automation 🔹 Mini Project: I implemented a real-time CI/CD flow: ✔ Pushed code to GitHub ✔ Webhook triggered Jenkins build instantly ✔ Pipeline executed automatically ✔ Docker image built & deployed No manual steps. Fully automated 🔥 🔹 Real Issues I Faced: ❌ 403 error (No valid crumb included) ❌ 400 error (Bad webhook request) 🔹 How I Fixed It: ✔ Configured Jenkins security settings (CSRF / crumb issue) ✔ Verified webhook URL & payload ✔ Used tools like ngrok for local webhook testing 💡 Key Learning: “DevOps is not about speed — it’s about automatic reliability.” Now I understand: - Event-driven automation - How real CI/CD pipelines are triggered - Importance of secure integrations Next → AWS EC2 Deployment (taking pipelines to cloud ☁️) If you're building in DevOps, let’s connect 🤝 #DevOps #Webhooks #Jenkins #CICD #Automation #Cloud #AWS #LearningInPublic
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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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🚀 Simple CI/CD DevOps Flow Explained Step-by-Step Here’s a quick and simple breakdown of how a modern DevOps pipeline works: 1️⃣ Developers write code and push it to repositories like GitHub / GitLab / Bitbucket 2️⃣ A CI pipeline automatically starts: Code is checked out Application is built Tests are executed Code quality and security checks are performed 3️⃣ The built application is packaged and stored as an artifact (often as a Docker image in Docker Hub or similar) 4️⃣ Infrastructure is created using Infrastructure as Code tools like Terraform 5️⃣ The CD pipeline deploys the application to a Kubernetes cluster using Kubernetes 6️⃣ The application is exposed via services like load balancers or ingress controllers 7️⃣ Monitoring tools like Grafana and logging systems track performance and issues 🌟 Result: Faster, automated, secure, and scalable deployments from code to production. #DevOps #CICD #Kubernetes #Terraform #Docker #Cloud #Automation
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Learning Kubernetes is Not Enough Anymore The DevOps Landscape is Evolving Fast and Roles are Shifting Towards Platform Engineering. If You’re Still Stopping at “I Know Kubernetes", You’re Already Behind. Today, It’s not Just about Running Clusters. It’s about Mastering How to Operate, Secure and Scale Clusters in Real World Environments. Here’s What Actually Matters Now, Advanced Kubernetes Concepts POD Disruption Budgets. ResourceQuotas. Upgrading Kubernetes Clusters. Network Policies. RBAC & Security Best Practices. Right Way of Using Namespaces for Workloads Isolation. Working With Kubernetes Controllers & Operators This is Where Real Platform Engineering Begins. Helm [Package Management]. ArgoCD [GitOps Workflows]. Cert Manager [TLS Automation]. HashiCorp Vault [Secrets Management]. KEDA [Event Driven Autoscaling]. Prometheus Operator [Monitoring]. Istio [Service Mesh]. External DNS [Service Discovery]. The Shift is Clear, From “Deploying Applications on Kubernetes” to “Building Internal Platforms on Kubernetes”. The Engineers Who Understand This Transition Will Define the Next Generation of Infrastructure. Are You Just Learning Kubernetes or Are You Learning How to Build Platforms on Top of Kubernetes..?? #DevOps #DevOpsEngineer #CloudEngineer #PlatformEngineer #PlatformEngineering #SRE #Git #GitHub #Bitbucket #Maven #Sonarqube #Jenkins #AWS #AmazonWebServices #Azure #MicrosoftAzure #Docker #VirtualPrivateCloud #Kubernetes #CICD #Pipeline #Infrastructure #BestPractices #Terraform #Helm #Ansible #ArgoCD #GitOps #CloudNative
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