🚀 Hands-On with Git & GitHub on AWS EC2 — From Zero to Push! Just completed an end-to-end Git + GitHub workflow on a live AWS EC2 (Amazon Linux 2023) instance — and here's what I built: ✅ Installed Git 2.50.1 via yum on Amazon Linux 2023 ✅ Initialized a local repository with git init ✅ Created and committed files (index.html, README.md) ✅ Linked the local repo to a remote GitHub repository using git remote add origin ✅ Pushed code to GitHub using git push -u origin master ✅ Verified the live repository with 2 branches, 3 commits, and real-time file tracking 💡 One key learning: When the default branch is main but you push to master, Git throws a refspec mismatch error — I debugged and resolved it using a clean git push with credentials. 🌐 The repository is live on GitHub with proper commit history, branch management, and a README — all set up from a cloud server! This is what real DevOps practice looks like — not just theory, but actual cloud + version control integration. 💻☁️ #Git #GitHub #DevOps #Linux #AWS #EC2 #VersionControl #CloudComputing #OpenToWork #DevOpsEngineer #TechLearning Thanks to Ulhas Narwade (Cloud Messenger☁️📨) This lab demonstrates you didn't just read about Git — you ran it on a live cloud server, hit real errors, and fixed them. That's the difference between a candidate who knows commands and one who can actually work in a production-like environment. The combination of AWS EC2 + Linux + Git + GitHub in one workflow signals hands-on DevOps readiness, which is exactly what companies hiring for cloud or backend roles look for.
Git & GitHub on AWS EC2: Hands-On DevOps Workflow
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𝗜𝗳 𝘆𝗼𝘂 𝘀𝘁𝗶𝗹𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗯𝗮𝘀𝗶𝗰 𝗟𝗶𝗻𝘂𝘅 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀… 𝘆𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹 𝗗𝗲𝘃𝗢𝗽𝘀 𝘆𝗲𝘁. If you're serious about becoming a DevOps Engineer / Cloud Engineer, Linux is not optional — it's your daily tool. And the truth is… Top engineers don’t Google basic commands — they live them Let’s lock in the most important ones 📂 File & Directory Management ls → List directory contents cd → Navigate between directories pwd → Show current directory mkdir → Create directories rm → Remove files/directories cp → Copy files mv → Move/rename files 📌 Example: cd /var/log → Go to logs folder ls -la → View all files (including hidden) 🔐 Permissions & Ownership chmod → Change file permissions chown → Change ownership 📌 Example: chmod 755 script.sh chown ubuntu:ubuntu file.txt 📊 System Monitoring top → Real-time process monitoring df -h → Disk usage free -m → Memory usage 📌 Example: Debug high CPU usage using top 🌐 Networking Basics ping → Check connectivity curl → Call APIs wget → Download files 📌 Example: curl https://api.github.com 📦 Package Management (Bonus) apt, yum, dnf → Install software 📌 Example: sudo apt install nginx Pro Tip (Most Important ): Don’t just read commands… Use them daily in: AWS EC2 Docker containers Linux VMs That’s how you build real confidence Challenge for You: For the next 7 days — ❌ No copy-paste ❌ No blind Googling Try to recall + practice You’ll see massive improvement Final Thought:-- Linux is the language of DevOps The faster you master it, the faster you grow Comment “𝗟𝗜𝗡𝗨𝗫” and I’ll share advanced commands + real DevOps use cases 🔁 Repost to help someone starting their journey #Linux #DevOps #CloudComputing #AWS #LinuxCommands #SysAdmin #DevOpsEngineer #CloudEngineer #TechLearning #100DaysOfCode #OpenSource #ITSkills #Learning #CareerGrowth
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𝗜𝗳 𝘆𝗼𝘂 𝘀𝘁𝗶𝗹𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗯𝗮𝘀𝗶𝗰 𝗟𝗶𝗻𝘂𝘅 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀… 𝘆𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹 𝗗𝗲𝘃𝗢𝗽𝘀 𝘆𝗲𝘁. If you're serious about becoming a DevOps Engineer / Cloud Engineer, Linux is not optional — it's your daily tool. And the truth is… Top engineers don’t Google basic commands — they live them Let’s lock in the most important ones 📂 File & Directory Management ls → List directory contents cd → Navigate between directories pwd → Show current directory mkdir → Create directories rm → Remove files/directories cp → Copy files mv → Move/rename files 📌 Example: cd /var/log → Go to logs folder ls -la → View all files (including hidden) 🔐 Permissions & Ownership chmod → Change file permissions chown → Change ownership 📌 Example: chmod 755 script.sh chown ubuntu:ubuntu file.txt 📊 System Monitoring top → Real-time process monitoring df -h → Disk usage free -m → Memory usage 📌 Example: Debug high CPU usage using top 🌐 Networking Basics ping → Check connectivity curl → Call APIs wget → Download files 📌 Example: curl https://api.github.com 📦 Package Management (Bonus) apt, yum, dnf → Install software 📌 Example: sudo apt install nginx Pro Tip (Most Important ): Don’t just read commands… Use them daily in: AWS EC2 Docker containers Linux VMs That’s how you build real confidence Challenge for You: For the next 7 days — ❌ No copy-paste ❌ No blind Googling Try to recall + practice You’ll see massive improvement Final Thought:-- Linux is the language of DevOps The faster you master it, the faster you grow Comment “𝗟𝗜𝗡𝗨𝗫” and I’ll share advanced commands + real DevOps use cases 🔁 Repost to help someone starting their journey #Linux #DevOps #CloudComputing #AWS #LinuxCommands #SysAdmin #DevOpsEngineer #CloudEngineer #TechLearning #100DaysOfCode #OpenSource #ITSkills #Learning #CareerGrowth
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𝗜𝗳 𝘆𝗼𝘂 𝘀𝘁𝗶𝗹𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗯𝗮𝘀𝗶𝗰 𝗟𝗶𝗻𝘂𝘅 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀… 𝘆𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹 𝗗𝗲𝘃𝗢𝗽𝘀 𝘆𝗲𝘁. If you're serious about becoming a DevOps Engineer / Cloud Engineer, Linux is not optional — it's your daily tool. And the truth is… Top engineers don’t Google basic commands — they live them Let’s lock in the most important ones 📂 File & Directory Management ls → List directory contents cd → Navigate between directories pwd → Show current directory mkdir → Create directories rm → Remove files/directories cp → Copy files mv → Move/rename files 📌 Example: cd /var/log → Go to logs folder ls -la → View all files (including hidden) 🔐 Permissions & Ownership chmod → Change file permissions chown → Change ownership 📌 Example: chmod 755 script.sh chown ubuntu:ubuntu file.txt 📊 System Monitoring top → Real-time process monitoring df -h → Disk usage free -m → Memory usage 📌 Example: Debug high CPU usage using top 🌐 Networking Basics ping → Check connectivity curl → Call APIs wget → Download files 📌 Example: curl https://api.github.com 📦 Package Management (Bonus) apt, yum, dnf → Install software 📌 Example: sudo apt install nginx Pro Tip (Most Important ): Don’t just read commands… Use them daily in: AWS EC2 Docker containers Linux VMs That’s how you build real confidence Challenge for You: For the next 7 days — ❌ No copy-paste ❌ No blind Googling Try to recall + practice You’ll see massive improvement Final Thought:-- Linux is the language of DevOps The faster you master it, the faster you grow Comment “𝗟𝗜𝗡𝗨𝗫” and I’ll share advanced commands + real DevOps use cases 🔁 Repost to help someone starting their journey #Linux #DevOps #CloudComputing #AWS #LinuxCommands #SysAdmin #DevOpsEngineer #CloudEngineer #TechLearning #100DaysOfCode #OpenSource #ITSkills #Learning #CareerGrowth
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🚀 From Zero to Full-Stack DevOps on Microsoft Azure! I just completed a series of hands-on DevOps assignments, and I want to share what I learned along the way Self-Hosted Agents Instead of using Microsoft's hosted agents with limited free minutes, I provisioned my own Ubuntu 22.04 VM on Azure, registered it to Azure DevOps using a Personal Access Token, and installed it as a system service. This gave me unlimited free pipeline minutes and full control over my build environment! CI/CD Pipelines I built automated pipelines that triggered on every commit to main: ✅ Deployed a static HTML website via SSH ✅ Built and deployed a React app through a 4-stage pipeline (Build → Test → Publish → Deploy) ✅ Deployed the EpicBook full-stack bookstore with Node.js and MySQL Nginx as a Reverse Proxy Nginx sits in front of the Node.js app and forwards port 80 traffic to port 8080. This is a standard production pattern used by companies worldwide! Infrastructure as Code with Terraform. Using two repositories, one for Terraform infrastructure code and one for application code, keeps concerns separated and mirrors real enterprise DevOps workflows. Key Lessons: File permissions matter in pipelines Every error is a learning opportunity Real DevOps is about troubleshooting, not just deploying! This journey was challenging but incredibly rewarding! If you are learning DevOps, my advice is simple: get your hands dirty! What DevOps tools are you currently learning? Drop a comment! #DevOps #Azure #AzureDevOps #Terraform #Nginx #CICD #CloudComputing #Linux #NodeJS #LearningInPublic #DevOpsEngineer
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𝗜𝗳 𝘆𝗼𝘂 𝘀𝘁𝗶𝗹𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗯𝗮𝘀𝗶𝗰 𝗟𝗶𝗻𝘂𝘅 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀… 𝘆𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹 𝗗𝗲𝘃𝗢𝗽𝘀 𝘆𝗲𝘁. If you're serious about becoming a DevOps Engineer / Cloud Engineer, Linux is not optional — it's your daily tool. And the truth is… Top engineers don’t Google basic commands — they live them Let’s lock in the most important ones 📂 File & Directory Management ls → List directory contents cd → Navigate between directories pwd → Show current directory mkdir → Create directories rm → Remove files/directories cp → Copy files mv → Move/rename files 📌 Example: cd /var/log → Go to logs folder ls -la → View all files (including hidden) 🔐 Permissions & Ownership chmod → Change file permissions chown → Change ownership 📌 Example: chmod 755 script.sh chown ubuntu:ubuntu file.txt 📊 System Monitoring top → Real-time process monitoring df -h → Disk usage free -m → Memory usage 📌 Example: Debug high CPU usage using top 🌐 Networking Basics ping → Check connectivity curl → Call APIs wget → Download files 📌 Example: curl https://api.github.com 📦 Package Management (Bonus) apt, yum, dnf → Install software 📌 Example: sudo apt install nginx Pro Tip (Most Important ): Don’t just read commands… Use them daily in: AWS EC2 Docker containers Linux VMs That’s how you build real confidence Challenge for You: For the next 7 days — ❌ No copy-paste ❌ No blind Googling Try to recall + practice You’ll see massive improvement Final Thought:-- Linux is the language of DevOps The faster you master it, the faster you grow Comment “𝗟𝗜𝗡𝗨𝗫” and I’ll share advanced commands + real DevOps use cases 🔁 Repost to help someone starting their journey hashtag #Linux #DevOps #CloudComputing #AWS hashtag #LinuxCommands #SysAdmin #DevOpsEngineer #CloudEngineer #TechLearning #100DaysOfCode #OpenSource #ITSkills #Learning #CareerGrowth
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Day 31 of my DevOps journey — and today was all about Docker 🐳 Honestly? Docker felt intimidating at first. But today it finally *clicked*. Here's everything I built and learned today 👇 🔹 Understood CMD vs ENTRYPOINT (the coffee machine analogy changed everything ) 🔹 Debugged a real COPY error in Dockerfile and fixed it 🔹 Hunted down a hidden .dockerignore file (yes, dot files are invisible by default 👻) 🔹 Deployed an Nginx container on AWS EC2 and hit it live on the browser 🔹 Built a fashion app frontend and served it via Docker + Nginx 🔹 Mastered build optimization — layer order = faster builds The biggest lesson today? 📌 ENTRYPOINT is locked 🔒 — it always runs 📌 CMD is flexible 🔓 — it can be overridden 📌 Layer order in Dockerfile matters MORE than you think — put frequently changing lines LAST to keep your cache intact Every error today was a lesson. Every fix was a win. 🔗 Full code & Dockerfile on my GitHub → https://lnkd.in/gY4-7req If you're also on a DevOps / Cloud learning journey, let's connect and grow together 🤝 #Docker #DevOps #AWS #EC2 #Nginx #Linux #90DaysOfDevOps #CloudComputing #LearningInPublic #DevOpsJourney #TrainWithShubham
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I’ve been learning Cloud and DevOps by building a small project from scratch and taking it all the way to production. So far, I’ve built and deployed a simple application: • Python (Flask) backend • Redis database to store a visit counter • Basic frontend served from the backend On the infrastructure side: • Containerized services using Docker 🐳 • Pushed the backend image to Docker Hub 📦 • Deployed on AWS (EC2 – Amazon Linux) ☁️ • Provisioned infrastructure using Terraform ⚙️ The application runs in a containerized setup, with services communicating between containers and Redis used for persistence. Now I’m focusing on improving the setup: • Automating deployment (CI/CD) 🔄 • Refining infrastructure configuration • Making the system more robust and reproducible The goal is to understand the full path from local development to a working cloud deployment using real-world tools. Still a lot to learn, but this project has helped me connect many concepts that were previously separate. 🧠 #Cloud #DevOps #AWS #Docker #Terraform
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Sharing this an amazing DevOps roadmap and It very useful! 🚀 Reposting this DevOps roadmap — super clear and helpful 👏 Found this DevOps 90-day plan really informative. Sharing!
CSE(Artificial intelligence and machine learning)| Btech 2nd year| Gouthami institute of technology and management for women| Peddasettipalle | Open to Internships
Most people fail at DevOps for one simple reason… They learn tools instead of building real things. Here’s a proven 90-day roadmap to actually become job-ready 👇 Step 1: Foundation (Don’t skip this) • Pick ONE cloud (AWS / Azure / GCP) • Learn Linux basics • Get comfortable with Git (branches, PRs, workflows) Step 2: Core Skills (in order) → Infrastructure (Linux, networking, cloud) → Automation (Bash/Python, Terraform, Ansible) → CI/CD (GitHub Actions, Docker, pipelines) Step 3: Keep your stack simple ✔ Docker ✔ Kubernetes (just the basics) ✔ Monitoring (Prometheus + Grafana) Step 4: Build REAL projects • CI/CD pipeline for an app • Containerized microservice • Deploy using Infrastructure as Code • Create a monitoring dashboard Avoid this if you want to stand out ❌ • Watching tutorials without building • Ignoring networking fundamentals • Jumping into Kubernetes too early • Not showcasing your work on GitHub 💡 The secret? Consistency > motivation Build in public. Stay focused. You’ll be ahead of 90% of people. Follow for more no-BS tech roadmaps 🚀 #DevOps #CloudComputing #Docker #Kubernetes #CareerGrowth #TechJobs #LearnInPublic
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🚀 DevOps Roadmap: From Linux to CI/CD Feeling overwhelmed by the endless tools in the DevOps world? You’re not alone. The ecosystem is huge, but it becomes much simpler when you break it down into layers. Whether you’re just starting out or already experienced, mastering these 8 core pillars is key to building scalable and reliable systems: 1️⃣ Linux Basics – Everything starts here. Strong command-line skills and Bash scripting are essential. 2️⃣ Networking – Know how systems communicate (HTTP/S, SSH, TLS). 3️⃣ Cloud Platforms – Get comfortable with AWS, Azure, or GCP. 4️⃣ Security – Think “shift left”—focus on security from day one. 5️⃣ Containers & Orchestration – Docker and Kubernetes power modern apps. 6️⃣ Infrastructure as Code (IaC) – Manage infra like code using tools like Terraform and Ansible. 7️⃣ Observability – Monitoring and logging help you understand and fix systems faster. 8️⃣ CI/CD – Automate everything from code to production. 💡 Key takeaway: Don’t try to learn everything at once. Focus on one tool per layer, understand the concept deeply, and build step by step. #DevOps #CloudComputing #SoftwareEngineering #TechCareer #Kubernetes #AWS #ContinuousLearning #Linux #SRE #CICD
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🚀 DevOps Roadmap: From Linux to CI/CD Feeling overwhelmed by the endless tools in the DevOps world? You’re not alone. The ecosystem is huge, but it becomes much simpler when you break it down into layers. Whether you’re just starting out or already experienced, mastering these 8 core pillars is key to building scalable and reliable systems: 1️⃣ Linux Basics – Everything starts here. Strong command-line skills and Bash scripting are essential. 2️⃣ Networking – Know how systems communicate (HTTP/S, SSH, TLS). 3️⃣ Cloud Platforms – Get comfortable with AWS, Azure, or GCP. 4️⃣ Security – Think “shift left”—focus on security from day one. 5️⃣ Containers & Orchestration – Docker and Kubernetes power modern apps. 6️⃣ Infrastructure as Code (IaC) – Manage infra like code using tools like Terraform and Ansible. 7️⃣ Observability – Monitoring and logging help you understand and fix systems faster. 8️⃣ CI/CD – Automate everything from code to production. 💡 Key takeaway: Don’t try to learn everything at once. Focus on one tool per layer, understand the concept deeply, and build step by step. #DevOps #CloudComputing #SoftwareEngineering #TechCareer #Kubernetes #AWS #ContinuousLearning #Linux #SRE #CICD
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