Master DevOps in 50 Days with DevOps Fundamentals to Cloud Engineering

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

🚀 Starting My 90-Day DevOps Journey Over the past few months, I’ve been building a strong foundation in cloud computing, working with AWS services, deploying applications, and exploring scalable architectures. Now, I’m taking the next step diving deep into DevOps with a structured 90 day plan. 💡 Why DevOps?  I want to bridge the gap between development and operations not just writing code, but also automating, deploying, and managing systems efficiently in real-world environments. 📌 What I’ll be focusing on:  - Linux fundamentals & system management  - Shell scripting & automation  - Networking basics  - Git & GitHub workflows  - Docker & containerization  - AWS (core + advanced services)  - Azure - CI/CD (GitHub Actions, Jenkins)  - Kubernetes & orchestration  - Infrastructure as Code (Terraform, Ansible)  - Monitoring (Grafana, Prometheus) 🚀 Final end-to-end DevOps project 📅 Plan: 90 days of consistent learning, building, and sharing. I’ll be documenting my journey with:  - Weekly updates  - Hands-on projects  - Key learnings & challenges If you’re already in DevOps or Cloud, I’d love your suggestions and guidance 🙌  And if you’re on a similar journey, let’s connect and grow together! #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham #AWS #CloudComputing #LearningInPublic #Docker #Kubernetes #Terraform #CICD #TechJourney

Stop blaming your tools for failed deployments. Most DevOps pipelines don’t fail because of tools — they fail because of poor design. After working on multiple CI/CD pipelines across AWS and Azure, here are a few practical lessons that improved reliability and reduced deployment issues significantly: 🔹 Keep pipelines simple and modular Break pipelines into smaller stages (build, test, deploy). This makes debugging faster and failures easier to isolate. 🔹 Use Infrastructure as Code (IaC) everywhere Terraform helped me standardize environments and avoid "it works on my machine" problems. 🔹 Validate before deployment Add linting, security checks, and test stages early in Jenkins or GitHub Actions pipelines. 🔹 Make deployments safer Use blue-green or rolling deployments in Kubernetes to avoid downtime. 🔹 Don’t ignore monitoring Set up Prometheus, Grafana, and CloudWatch alerts for early issue detection — not after failures. 🔹 Standardize environments Maintain consistency across Dev, QA, and Production to reduce unexpected bugs. The takeaway: Good DevOps isn’t about the specific tools you use — it’s about building reliable, repeatable systems. What’s one pipeline issue you’ve faced recently? #DevOps #AWS #Azure #CICD #Terraform #Kubernetes #CloudComputing #Automation

🚀 50 Hands-On DevOps Project Ideas in One Practical Guide ******************************************************** I recently found a great guide featuring 50 DevOps project ideas, from beginner-friendly setups to advanced, production-style architectures. Some of the areas covered: • CI/CD pipelines with Jenkins and GitLab • Infrastructure as Code with Terraform • Kubernetes cluster setup and application deployment • Monitoring and observability with Prometheus and Grafana • DevSecOps, secrets management, and security scanning • Advanced practices like GitOps, Chaos Engineering, and SRE What stands out is the hands-on structure. Each project includes clear use cases, recommended tools, and implementation steps, which makes it useful not only for learning but also for building a strong portfolio. Whether you are getting started in DevOps or looking to level up your practical skills, this kind of roadmap can be extremely valuable. ********************************************************* #DevOps #Cloud #Kubernetes #SRE #GitOps #Terraform #CICD #SRE #Learning #Tech #Monitoring #DevSecOps

🎯 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

🚀 DevOps Tools You Should Know in 2026 Here are some must-know DevOps tools every engineer should be familiar with: 🔧 Infrastructure as Code (IaC) Terraform – Cloud-agnostic infrastructure provisioning AWS CloudFormation – Native AWS IaC solution ⚙️ CI/CD Tools Jenkins – Highly customizable automation server GitHub Actions – Seamless CI/CD within GitHub GitLab CI/CD – Integrated pipelines with version control 🐳 Containerization & Orchestration Docker – Build, ship, and run applications in containers Kubernetes – Automate deployment, scaling, and management ☁️ Cloud Platforms AWS, Azure, GCP – Backbone of modern infrastructure 📊 Monitoring & Observability Prometheus – Metrics and alerting Grafana – Visualization dashboards ELK Stack – Logging (Elasticsearch, Logstash, Kibana) 🔐 Security & Compliance HashiCorp Vault – Secrets management Snyk – Vulnerability scanning 💡 Why it matters? Mastering these tools helps you: ✔️ Automate workflows ✔️ Improve system reliability ✔️ Scale applications efficiently ✔️ Deliver faster with confidence 👉 DevOps is not about knowing all tools — it's about choosing the right tools for your use case. #DevOps #CloudComputing #Kubernetes #Docker #Terraform #AWS #CI_CD #SRE #Automation #DevOpsLife #DevOpsEngineer #DevOpsCommunity #DevOpsCulture #DevOpsJourney

DevOps Engineer – 1st Round Interview These 20 advanced scenario-based questions are being asked RIGHT NOW. 1. What happens internally when a Kubernetes pod gets OOMKilled? How do you debug and prevent it? 2. Your application works in staging but fails in production. How do you systematically debug environment differences? 3. Explain how Kubernetes scheduling works. Why would a pod remain in Pending state? 4. How does Kubernetes networking (CNI) work? How do pods communicate across nodes? 5. What are the common causes of CrashLoopBackOff, and how do you debug them? 6. Your CI/CD pipeline suddenly fails after months of stability. How do you troubleshoot it? 7. How does Terraform state locking work? What would you do if the lock is stuck? 8. A Terraform apply partially failed and resources are in inconsistent state. How do you recover safely? 9. Explain rolling vs blue-green vs canary deployments with real production use cases. 10. How does ArgoCD (GitOps) ensure consistency between Git and cluster state? 11. Your Kubernetes cluster is under high load. How do HPA and Cluster Autoscaler work together? 12. Explain how you would design high availability for a production system across multiple regions. 13. Your AWS bill suddenly increased 3x overnight. How do you investigate and optimize? 14. How do you design a secure CI/CD pipeline (DevSecOps)? Where do you integrate security scans? 15. A secret was exposed in GitHub. What is your incident response plan? 16. How do you design an observability stack (metrics, logs, traces) for large-scale systems? 17. Your application shows latency spikes every 60 seconds. How do you debug this? 18. How do you handle zero-downtime deployments for critical applications? 19. How do you manage configuration and secrets across multiple environments? 20. Production is down. Users are impacted. What are your first 5 steps as a DevOps engineer? #DevOps #DevSecops #Terraform #Aws #Azure #Cloud #Linux #Kubernetes #GenAI #AIML #machinelearning

The Ultimate DevOps Roadmap 2026: Your Path to Engineering Excellence In the rapidly evolving world of technology, DevOps has shifted from being a "bonus skill" to the very backbone of modern software delivery. Whether you are a Software Engineer looking to pivot or a beginner starting your tech journey, having a structured path is key to avoiding burnout and "tool fatigue." I’ve mapped out the essential pillars of the DevOps ecosystem to help you stay focused on what truly matters in 2026: ✅ The Foundations: Mastering the Linux CLI, Networking (TCP/IP, DNS), and Scripting with Python or Bash. ✅ The Delivery Pipeline: Moving beyond manual deployments with CI/CD tools like Jenkins and GitHub Actions. ✅ The Container Era: Understanding the "Build once, run anywhere" philosophy with Docker and Kubernetes. ✅ Infrastructure as Code (IaC): Treating your servers like software using Terraform and Ansible. ✅ Cloud Sovereignty: Leveraging the power of AWS, Azure, or GCP to scale globally. ✅ Observability & Security: Shifting left with DevSecOps and monitoring systems with Prometheus and the ELK stack. 💡 Key Takeaway: Tools will come and go, but mastering the process and the mindset of automation and collaboration is what makes a great Engineer. I am currently diving deep into Cloud Infrastructure and Automation—where are you on your learning journey? Let's connect and discuss in the comments! 👇 #DevOps #CloudComputing #AWS #Kubernetes #SoftwareEngineering #Automation #CareerRoadmap #TechTrends #InfrastructureAsCode #CloudEngineer

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

🚀 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