DevOps Cheat Sheet Essential Commands for Linux Docker Kubernetes Terraform Ansible Git

🚀 𝗗𝗲𝘃𝗢𝗽𝘀 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 – 𝗤𝘂𝗶𝗰𝗸 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝗘𝘃𝗲𝗿𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗦𝗵𝗼𝘂𝗹𝗱 𝗞𝗻𝗼𝘄 Whether you're starting in DevOps or already working in the field, keeping core commands at your fingertips can save a lot of time. This quick cheat sheet covers essential commands across: 🔹 𝗟𝗶𝗻𝘂𝘅 – file management & permissions 🔹 𝗚𝗶𝘁 – version control basics 🔹 𝗗𝗼𝗰𝗸𝗲𝗿 – container operations 🔹 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 – managing pods & deployments 🔹 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 – infrastructure as code 🔹 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 – configuration management These tools form the backbone of modern DevOps workflows and mastering the basics makes troubleshooting and automation much easier. 𝗟𝗲𝗮𝗿𝗻. 𝗕𝗿𝗲𝗮𝗸. 𝗜𝗺𝗽𝗿𝗼𝘃𝗲. 🚀 — Sanskriti Gupta #DevOps #Linux #Docker #Kubernetes #Terraform #Ansible #Git #Cloud #Automation #Learning

🚀 𝗗𝗲𝘃𝗢𝗽𝘀 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 – 𝗤𝘂𝗶𝗰𝗸 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝗘𝘃𝗲𝗿𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗦𝗵𝗼𝘂𝗹𝗱 𝗞𝗻𝗼𝘄 Whether you're starting in DevOps or already working in the field, keeping core commands at your fingertips can save a lot of time. This quick cheat sheet covers essential commands across: 🔹 𝗟𝗶𝗻𝘂𝘅 – file management & permissions 🔹 𝗚𝗶𝘁 – version control basics 🔹 𝗗𝗼𝗰𝗸𝗲𝗿 – container operations 🔹 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 – managing pods & deployments 🔹 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 – infrastructure as code 🔹 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 – configuration management These tools form the backbone of modern DevOps workflows and mastering the basics makes troubleshooting and automation much easier. 𝗟𝗲𝗮𝗿𝗻. 𝗕𝗿𝗲𝗮𝗸. 𝗜𝗺𝗽𝗿𝗼𝘃𝗲. 🚀 — Sanskriti Gupta #DevOps #Linux #Docker #Kubernetes #Terraform #Ansible #Git #Cloud #Automation #Learning

🚀 DevOps Basics Series How All DevOps Concepts Connect Over the past few posts, I’ve explored: DevOps → CI/CD → Networking → Linux → Docker → Kubernetes At first, they felt like separate concepts. But they’re not. They’re all parts of one system working together. The Bigger Picture. Here’s how it all connects: • Code is written and pushed (Git) • CI/CD pipelines build and deploy it • Docker packages the application • Kubernetes manages and scales it • Services & Load Balancers expose it • DNS makes it reachable 🌐 What Happens in Reality When a user accesses your app: Request → DNS → Load Balancer → Service → Pod → Container → Response All of this happens in milliseconds. DevOps is not about tools. It’s about how these pieces work together to deliver software reliably. 💡What Changed for Me : I stopped learning tools in isolation and started understanding the system as a whole. In simple terms: DevOps is about connecting everything so users get a fast and reliable experience. #DevOps #Cloud #Kubernetes #Docker #LearningInPublic

🚀 The DevOps Toolkit - Modern Linux + DevOps in One Clear Guide DevOps isn't a title ❌ It's a mindset 💡 It blends development 👨💻, operations ⚙️, automation 🤖, and reliability 📊 into one powerful system. 🔥 Great engineers don't chase tools. They build layers of mastery, one foundation at a time 🧱 --- 🧩 The Modern DevOps Stack 🐧 Linux — the base of everything 👉 Logs 📜 | Processes ⚡ | Reliability 🔒 🤖 Automation — Bash, Python, Ansible 👉 If it repeats, automate it 🔁 📦 Containers — Docker & Podman 👉 Package once, run anywhere 🌍 🔄 CI/CD — Jenkins, GitHub Actions, GitLab CI 👉 Automate delivery 🚀 ☁️ Cloud — Terraform, Kubernetes 👉 Scalable infrastructure 📈 📊 Monitoring — Prometheus, Grafana, ELK 👉 See everything 👀 🔐 DevSecOps — Trivy, Vault, Falco 👉 Security in every step 🛡️ --- ✨ Each layer supports the next ✨ Each tool solves a specific problem ✨ Together, they form the DevOps mindset 📘 This PDF guide breaks down these layers clearly & simply Perfect for learners 📚, builders 🛠️, and engineers leveling up in Linux & DevOps 🚀 👉 Practical 👉 Structured 👉 Built for real-world engineering --- ❓ Which layer are you focusing on right now? 🐧 Linux | 🤖 Automation | ☁️ Cloud --- #DevOps #Linux #Automation #Ansible #Docker #Python #Kubernetes #Terraform #CICD #GitOps #Monitoring #Prometheus #Grafana #SRE #DevSecOps #InfrastructureAsCode #SystemDesign #CloudComputing #TechCommunity

From GitHub → Jenkins → Docker → Kubernetes - complete DevOps workflow. Many people learn DevOps tools individually. But the real value comes from understanding how these tools work together in a real pipeline. Here’s a simplified breakdown of the 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐂𝐈/𝐂𝐃 𝐟𝐥𝐨𝐰 shown in the diagram 𝐂𝐈 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 (𝐁𝐮𝐢𝐥𝐝 & 𝐒𝐜𝐚𝐧) ‣ Developer pushes code to GitHub ‣ Jenkins CI pulls the code and triggers the pipeline ‣ OWASP Dependency Check scans for vulnerable libraries ‣ SonarQube performs code quality & security analysis ‣ Docker builds the image ‣ Trivy scans the image for vulnerabilities ‣ Image is pushed to the registry 𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 (𝐃𝐞𝐩𝐥𝐨𝐲) ‣ Jenkins CD updates the image version ‣ Changes pushed back to GitHub ‣ ArgoCD pulls the latest changes ‣ Deploys application to Kubernetes 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐀𝐥𝐞𝐫𝐭𝐬 ‣ Prometheus collects metrics ‣ Grafana visualizes dashboards ‣ Email notifications for pipeline status 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐞𝐱𝐩𝐞𝐜𝐭 𝐲𝐨𝐮 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝: ‣ CI (build + scan) ‣ CD (deploy + automate) ‣ Security (shift-left approach) ‣ Monitoring (production visibility) #Kubernetes #Helm #DevOps #CloudNative #Containers #Pod #YAML #Kubernetes #ZeroToOne #Git #GitHub #Linux #VersionControl #Linux #CICD #Docker #Terraform #Script #AWS #GCP #Azure #SDLC #DevOpsLife #SRE #DevOpsEngineer #jenkins #devops #cicd #automation

From GitHub → Jenkins → Docker → Kubernetes - complete DevOps workflow. Many people learn DevOps tools individually. But the real value comes from understanding how these tools work together in a real pipeline. Here’s a simplified breakdown of the 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐂𝐈/𝐂𝐃 𝐟𝐥𝐨𝐰 shown in the diagram 𝐂𝐈 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 (𝐁𝐮𝐢𝐥𝐝 & 𝐒𝐜𝐚𝐧) ‣ Developer pushes code to GitHub ‣ Jenkins CI pulls the code and triggers the pipeline ‣ OWASP Dependency Check scans for vulnerable libraries ‣ SonarQube performs code quality & security analysis ‣ Docker builds the image ‣ Trivy scans the image for vulnerabilities ‣ Image is pushed to the registry 𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 (𝐃𝐞𝐩𝐥𝐨𝐲) ‣ Jenkins CD updates the image version ‣ Changes pushed back to GitHub ‣ ArgoCD pulls the latest changes ‣ Deploys application to Kubernetes 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐀𝐥𝐞𝐫𝐭𝐬 ‣ Prometheus collects metrics ‣ Grafana visualizes dashboards ‣ Email notifications for pipeline status 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐞𝐱𝐩𝐞𝐜𝐭 𝐲𝐨𝐮 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝: ‣ CI (build + scan) ‣ CD (deploy + automate) ‣ Security (shift-left approach) ‣ Monitoring (production visibility) #Kubernetes #Helm #DevOps #CloudNative #Containers #Pod #YAML #Kubernetes #ZeroToOne #Git #GitHub #Linux #VersionControl #Linux #CICD #Docker #Terraform #Script #AWS #GCP #Azure #SDLC #DevOpsLife #SRE #DevOpsEngineer #jenkins #devops #cicd #automation

Really love this 👏 — This is the architecture I built while implementing a full CI/CD pipeline with Jenkins, Docker, Kubernetes, and AWS on my learning journey. The real value isn’t just knowing tools like Jenkins, Docker, Kubernetes, and AWS — it’s understanding how they work together in a full CI/CD pipeline. 💡 One key addition: Terraform and Ansible power the foundation — Terraform provisions AWS infrastructure, Ansible configures it, and CI/CD handles build and deployment. That full flow is what makes DevOps powerful 🚀 #DevOps #AWS #Terraform #Ansible #Jenkins #Docker #Kubernetes #CICD

🚀 Day 5/30 – DevOps Journey Today I explored some of the most powerful Linux tools used in real-world DevOps environments — find, awk, and sed. 💡 What I Learned: 🔍 find Used to search files and directories efficiently Helpful for locating logs and configuration files in large systems 📊 awk A powerful text processing tool Works with columns to extract specific data from files ✏️ sed Stream editor used to modify text Useful for replacing values and updating configurations 💻 Hands-on Practice: Created sample files and added data using echo Used find to locate files Extracted specific data using awk Modified content using sed 📈 How I Improved: Learned how to handle and process large data efficiently Understood how to automate repetitive tasks using Linux commands Gained confidence in using command-line tools for real-world scenarios 📌 Key Takeaway: These tools are essential for log analysis, automation, and system management in DevOps workflows. 🔗 GitHub (Day 5 work): https://lnkd.in/gJVDpbRF Step by step, moving closer to becoming a DevOps Engineer 💪 #DevOps #Linux #Automation #Cloud #LearningJourney #30DaysChallenge

DevOps Essentials — Commands Every Engineer Should Know Whether you're just getting started or sharpening your workflow, mastering the fundamentals across the DevOps stack makes a huge difference in productivity. 🔹 Linux Basics Navigate, manage files, and inspect logs efficiently — the foundation of everything. 🔹 Git & Docker Version control + containerization = consistent, reliable deployments. 🔹 Kubernetes Orchestrate containers at scale and keep your applications resilient. 🔹 Terraform Infrastructure as Code helps you build, change, and version infrastructure safely. 🔹 Ansible Automate configuration and reduce repetitive manual work. 🔹 AWS CLI Manage cloud resources directly from your terminal with speed and precision. 💡 The real power of DevOps isn’t just tools — it’s how seamlessly you connect them. For more 👉 w3schools.com What’s one command or tool you use daily that you couldn’t live without? 👇 #DevOps #CloudComputing #Linux #Docker #Kubernetes #Terraform #Ansible #AWS #Automation #TechCareers GitHub

Stop copy-pasting your YAML jobs. The Matrix Strategy in Azure DevOps is your DRY (Don't Repeat Yourself) best friend. It lets you define a single job and run it across multiple configurations automatically. 🚀 You can use it for: - Cross-Platform Testing: Run the same suite on Ubuntu and Windows simultaneously. - Version Parity: Test against Node 20, 22, and 24 without duplicating steps. - Parallelization: Use maxParallel to speed up your CI/CD pipeline. 🛠️ What it looks like: Check the code-snippet beneath. Notice how $(os) and $(config) act as placeholders. The matrix fills those in automatically for every parallel run. 💡 Pro-Tip: This isn't just an Azure thing.  GitHub Actions uses a nearly identical strategy: matrix to generate job permutations automatically. GitLab CI achieves the same efficiency using the parallel: matrix keyword. #AzureDevOps #DevOps