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Day 28 of my DevOps Journey After mastering the core modules yesterday, I spent today diving into advanced Ansible concepts and putting them to the test with a real-world deployment. I successfully automated the entire installation and configuration of a Tomcat Application Server on my managed nodes! Here are the game-changing concepts I unlocked today: 🛡️ Ansible Vault: Security is non-negotiable. I learned how to seamlessly encrypt sensitive variables, passwords, and API keys so they never sit in plain-text YAML files. 🧠 Conditions (when clauses): My playbooks are no longer just blind scripts. By adding conditional logic, my automation is now smart enough to adapt based on the target OS or real-time system facts. 🎯 Tags: The ultimate time-saver! I can now execute specific tasks (like updating a config) without having to run a massive 500-line playbook from start to finish. 📝 Dynamic File Manipulation: Moved beyond basic file copying. Using modules like lineinfile and blockinfile, I can surgically inject, modify, or replace specific configuration data inside existing files. Bringing all these concepts together to orchestrate a full Tomcat deployment was an incredible "Aha!" moment. It truly shows the power of treating Infrastructure as Code. To the DevOps community: When you are managing secrets in your pipelines, do you prefer sticking entirely to Ansible Vault, or do you integrate external tools like HashiCorp Vault, Let’s discuss👇 #DevOps #Ansible #Automation #InfrastructureAsCode #CloudComputing #Tomcat #CyberSecurity #TechLearning #CareerJourney #SysAdmin #ContinuousIntegration #ContinuousDelivery #TechGrowth #BuildInPublic #OpenToWork #frontlinesedutech #flm #frontlinesmedia

🚀 DevOps Cheat Sheet Every Engineer Should Bookmark! If you're starting your journey in DevOps or brushing up your skills, here’s a quick snapshot of everything you need in one place 👇 🔹 System & Scripting Linux commands, Shell scripting, Python — the foundation of automation 🔹 Version Control Git + platforms like GitHub, GitLab, Bitbucket 🔹 CI/CD Tools Jenkins | GitHub Actions | GitLab CI/CD | ArgoCD | CircleCI 🔹 Infrastructure as Code (IaC) Terraform | CloudFormation 🔹 Containers & Orchestration Docker 🐳 | Kubernetes ☸️ 🔹 Cloud Platforms AWS | Azure | GCP 🔹 Configuration Management Ansible | Chef | Puppet | SaltStack 🔹 Monitoring & Logging Prometheus + Grafana | ELK Stack | Datadog 🔹 Security Trivy | SonarQube | OWASP tools 🔹 Networking & Load Balancing Nginx | HAProxy | Ingress Controllers #DevOps #Cloud #AWS #Docker #Kubernetes #Automation #Learning #TechCareers

Recently came across something genuinely useful for anyone working with containers, Kubernetes, or just trying to get better at debugging in real environments — iximiuz Labs Playgrounds. https://lnkd.in/eHeZg8Ua What I like about it — it’s not another “watch this tutorial” platform. You actually get hands-on labs where things break, and you have to figure them out. It feels much closer to real-life scenarios: Debugging container networking issues Understanding how Linux namespaces really work Troubleshooting Kubernetes behavior without guessing Learning by doing, not by memorizing As someone working in DevOps, this kind of practice is way more valuable than just reading docs or watching videos. It forces you to think the way you would in production. If you're preparing for roles like Platform Engineer / DevOps / SRE — or even certifications — this is definitely worth checking out. Curious if anyone here has already tried it? What was your experience? #DevOps #Kubernetes #Containers #SRE #LearningByDoing #PlatformEngineering

Two questions that genuinely make you think 🤯 1) Does GitHub use GitHub itself to build GitHub? 2) If GitHub crashes, can it roll back using GitHub to fix GitHub? At first, it sounds like a paradox… but this is where real-world engineering gets interesting. Big systems like GitHub don’t rely on a single point of failure. They use: - Distributed systems - Redundant infrastructure - Backup deployment pipelines - Disaster recovery strategies So yes — they do use their own tools, but they also build safety nets around them. That’s the real lesson for engineers 👇 👉 Never depend on one system without a fallback 👉 Always design for failure 👉 Automate recovery, not just deployment This is exactly what DevOps and SRE is all about. What do you think — paradox or smart engineering? 👇 #DevOps #SRE #GitHub #CloudComputing #SystemDesign #Engineering

As a devops engineer one should must be aware of the trending tools and here is the DSO(docker secret operator) which I have implemented, and it is totally time saving and reliable with high security, you should must use this tool🔥

Breaking into DevOps or sharpening existing skills both require having the right reference at your fingertips. This comprehensive DevOps Cheat Sheet covers the tools and concepts every DevOps engineer should know: ✅ Linux commands and Shell scripting ✅ Version Control with Git, GitHub, GitLab and Bitbucket ✅ CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD and more ✅ Infrastructure as Code with Terraform, Ansible and CloudFormation ✅ Containerization and Orchestration using Docker and Kubernetes ✅ Cloud Services across AWS, Azure and GCP ✅ Configuration Management with Chef, Puppet and SaltStack ✅ Monitoring and Logging via Prometheus, Grafana, ELK Stack and Datadog ✅ Security and Compliance tools like SonarQube, Trivy and OWASP ✅ Networking, Nginx, HAProxy and Kubernetes Ingress ✅ SQL and NoSQL Databases with DevOps automation ✅ Storage and Helm for Kubernetes app management Save this post and share it with someone on a DevOps journey. It could be the resource that clicks everything into place for them. Drop a comment below: which tool on this list took the longest to master? Credits: @Ahmed Ali #DevOps #Linux #Kubernetes #Docker #Terraform #Ansible #Jenkins #GitHubActions #CloudComputing #AWS #Azure #GCP #Helm #CICD #InfrastructureAsCode #SiteReliabilityEngineering #SRE #DevSecOps #CloudNative #TechCommunity #LearnDevOps #Monitoring #Grafana #Prometheus #OpenSource

I started by building the infrastructure for my To-Do App using Terraform and Ansible, and then added a full CI/CD pipeline using GitHub Actions and Docker. What it does: First, Terraform creates the server (VPC, Subnets, ElasticIP, Security Groups, etc) and network automatically. Then Ansible sets up the server, Git Runner, installs Docker, and prepares the environment. After that, CI/CD handles the deployment. When I push code to GitHub main branch, GitHub Actions builds the app, creates a Docker image, and pushes it to Docker Hub. After that the server pulls the latest image, stops the old container, and starts the new one automatically. It also keeps only the latest 5 images to save space. Why this is useful: This removes manual work, reduces errors, and makes deployment faster and more reliable. What I learned: This project helped me understand how infrastructure setup and deployment automation work together in real DevOps. Special thanks to my supervisor Sampath D. for the guidance and support. #DevOps #Terraform #Ansible #Docker #GitHubActions #CICD #InfrastructureAsCode #CloudComputing #Automation #SoftwareEngineering #DevOpsJourney #LearningByDoing #TechProject #PortfolioProject #FutureEngineer #AWS #CloudArchitecture #OpenToWork #ITStudent #ContinuousDeployment #antlerfoundry

🚨 Issues with #GitHub today? We’re seeing instability across the platform: ❌ Push & pull delays ❌ Pull Requests not loading ❌ Actions (CI/CD) failing or stuck ❌ Overall slow performance This is not a local issue — it’s affecting multiple environments. 💡 What I did (and what I recommend): I moved to running my own Git server using Gitea Open Source — and honestly, this is something more teams should consider. https://git.xdeye.com/ 👉 Here’s the practical advice: ✔️ Keep a self-hosted Git backup (Gitea / GitLab / bare repo). ✔️ Push your code to multiple remotes (GitHub + your own server). ✔️ Don’t depend fully on GitHub Actions — have manual or server-based deployment ready. ✔️ Keep production deployment independent from third-party outages. ✔️ Automate locally or on your own server where possible. Now my workflow is: Local → self-hosted Git → live servers GitHub is secondary, not critical ⚠️ With the growing use of AI tools and third-party automation inside CI/CD pipelines, complexity and risk are increasing. When one piece fails, everything can break. Better to stay in control. How are you handling redundancy in your Git workflow? #GitHub #DevOps #SelfHosted #Gitea #CI #CD #Security #ITInfrastructure

Hey Techies 👋, DevOps Reality Check When even GitHub becomes unreachable.... Today’s task looked simple push code, trigger my Jenkins pipeline, and continue working on my Docker setup. But instead, I hit this: 👉 fatal: unable to access 'https://github.com/...' 👉 Could not resolve host: github.com At first, it felt like a blocker. But in DevOps, these “small” errors often teach the biggest lessons. After digging deeper, I realized the issue wasn’t with Git or Jenkins it was a DNS/network issue on my remote server (via SSH). How I solved it: - Checked internet connectivity on the remote machine - Verified DNS configuration in /etc/resolv.conf - Restarted network services - Ensured proper nameserver (like 8.8.8.8) was set - Re-tested using ping github.com And finally… connection restored, code pushed, pipeline back on track Key takeaway: 𝐍𝐨 𝐦𝐚𝐭𝐭𝐞𝐫 𝐡𝐨𝐰 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐲𝐨𝐮𝐫 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐢𝐬, 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐝𝐞𝐩𝐞𝐧𝐝𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐛𝐚𝐬𝐢𝐜𝐬 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐚𝐧𝐝 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲. This was a reminder that DevOps isn’t just automation… It’s also patience, debugging, and understanding systems from the ground up. Have you ever been stuck because of something as simple as DNS? #DevOps #Jenkins #Docker #GitHub #CICD #Troubleshooting #LearningInPublic #WomenInTech #CloudComputing

Jenkins CI/CD: Credentials & Secrets Management 🔐 (The part most beginners ignore — but production can’t) While building CI/CD pipelines with Jenkins, one thing becomes very important: “Where do we store passwords, tokens, and keys securely?” Examples: Docker Hub credentials GitHub tokens AWS access keys SSH keys Hardcoding these in pipelines = ❌ big security risk 🔹 How Jenkins solves this Jenkins provides a Credentials Manager. We can securely store: Username & Password Secret Text (tokens) SSH keys API keys 🔹 How it’s used in pipeline Instead of writing secrets directly: ❌ Bad practice: Groovy docker login -u admin -p password ✅ Good practice: Groovy withCredentials([string(credentialsId: 'docker-pass', variable: 'PASS')]) { sh 'docker login -u admin -p $PASS' } Secrets stay hidden and secure. 🔹 Real production usage Pull private Git repos Push Docker images Deploy to cloud (AWS/GCP) Access APIs securely 🔹 Why this matters Without proper secrets management: ❌ Credentials may leak ❌ Security risks increase ❌ Production systems become vulnerable With Jenkins credentials: ✅ Secure pipelines ✅ Controlled access ✅ Safe automation 🔹 Simple understanding CI/CD is not just about automation. It’s also about secure automation. Building DevOps pipelines the right way — secure and production-ready. #Jenkins #DevOps #CICD #Security