DevOps Automation Scripts: 207 Shell Scripts for Engineers

Making Site Reliability Engineer (SRE) or DevOps Life Easier : 207 Shell Scripts for Everyday Automation! Hey everyone. What started as a small set of helper scripts turned into a repository of 207 automation scripts — all written to make engineers’ lives easier, save time, and reduce manual errors. These scripts cover: -System monitoring & health checks -Docker & Kubernetes automation -AWS CLI tasks -CI/CD & deployment workflows -Backup, cleanup & performance tuning -And a lot more! If you’re a SRE, DevOps Engineer, or Cloud Enthusiast, this might be super useful for your daily work or learning. I’m happy to share this with the community — hoping it helps someone automate just a little bit more . #DevOps #Automation #ShellScripting #Cloud #Kubernetes #AWS #CICD #Productivity #SRE #Linux #OpenSource #SRE #SiteReliabilityEngineer #Interview #Realtime #Docker #Git #Gitub #AzureDevops

Tools I use every single day as a Senior DevOps Engineer ⚙️ ☁️ Azure for cloud infrastructure 🔄 Azure DevOps for CI/CD pipelines 💻 GitHub for source control and collaboration 🏗️ Terraform for infrastructure as code 🔍 Elastic for centralized logging and search 📊 New Relic for application monitoring and observability 🐳 Docker for containerized environments ☸️ Kubernetes when orchestration is actually needed 🐧 Linux, obviously Previously worked heavily with AWS, Jenkins, Grafana, and Prometheus across different projects. But here's the thing. Knowing the tools isn't enough. Knowing WHEN to use which tool and WHEN not to, that's where the real skill is. I've seen teams set up complex monitoring dashboards but miss the one metric that actually matters. I've seen engineers monitor everything in New Relic except the thing that breaks at 2 AM. Tools are easy to learn. Judgment takes time. Which DevOps tool changed your workflow the most? 👇 #DevOps #Azure #Terraform #Kubernetes #Elastic #PlatformEngineering

🚀 Key Topics Every DevOps Engineer Should Know If you're starting or growing your career in DevOps, these are the most important areas to focus on: 🔹 Version Control Git & GitHub – Code management, branching, collaboration 🔹 CI/CD Pipeline Automation tools like Jenkins, GitLab CI – Build, test, deploy automatically 🔹 Cloud Platforms AWS | Azure | GCP – Infrastructure & services in the cloud 🔹 Containers & Orchestration Docker & Kubernetes – Application packaging and scaling 🔹 Infrastructure as Code (IaC) Terraform, Ansible – Automating infrastructure setup 🔹 Monitoring & Logging Prometheus, Grafana, ELK Stack – System health and troubleshooting 🔹 Linux & Networking Basics Commands, permissions, TCP/IP, DNS – Core foundation 🔹 Scripting & Automation Bash, Python – Automate repetitive tasks 💡 DevOps is not just tools — it's a culture of collaboration, automation, and continuous improvement. #DevOps #Cloud #AWS #Azure #Kubernetes #Docker #Automation #Learning

What does it really take to become a DevOps Engineer? Many people focus only on tools, but DevOps is much more than that. It is a combination of technical skills, automation, collaboration, and continuous learning. Key areas to study: ✔️ Linux fundamentals ✔️ Networking basics ✔️ Git & version control ✔️ CI/CD pipelines ✔️ Docker & Kubernetes ✔️ Cloud platforms (AWS / Azure / GCP) ✔️ Terraform & Infrastructure as Code ✔️ Monitoring, logging & security A simple learning path: Learn fundamentals → Practice labs → Build projects → Automate tasks → Deploy apps → Monitor systems DevOps is not about learning every tool. It is about understanding how modern systems are built, deployed, and improved. #DevOps #Linux #Docker #Kubernetes #CloudComputing #AWS #Azure #Terraform #Jenkins #Automation #SRE #ITLearning #TechEducation #CareerGrowth

🚀 Essential Terraform Commands Every DevOps Engineer Should Know Mastering Terraform CLI commands is a game-changer for efficient infrastructure automation. From initializing your project to managing state and workspaces, these commands form the backbone of Infrastructure as Code (IaC). 🔑 Key highlights: ✔️ Initialize & validate configurations ✔️ Plan & apply infrastructure changes ✔️ Manage state & resources effectively ✔️ Work with multiple environments using workspaces Understanding these commands helps you: ✅ Automate deployments ✅ Reduce manual errors ✅ Maintain consistent environments 💡 Whether you’re a beginner or experienced DevOps engineer, revisiting these fundamentals always adds value. 📌 Save this for quick reference! #Terraform #DevOps #InfrastructureAsCode #CloudComputing #Automation #AWS #Azure #GCP #SRE #TechLearning #FrontendLineMedia #FLM

🚀 The DevOps Reality Check Every new DevOps engineer at some point thinks: "Let me just jump straight into Terraform + AI..." Meanwhile, the fundamentals are quietly waiting 👇 🧱 What actually matters first: • Linux 🐧 • Networking 🌐 • Scripting 🧾 • CI/CD ⚙️ ⚠️ Then reality hits: • "Why is nothing working?" • "Why did this break in production?" • "Why is debugging taking 6+ hours?" 💡 The Truth: You can’t skip the stairs and expect to reach the top. 📈 What real DevOps growth looks like: 1. Master Linux fundamentals 2. Understand networking deeply 3. Write clean and effective scripts 4. Build and automate CI/CD pipelines 5. THEN move to cloud, Kubernetes, and scaling systems 🎯 Key Lesson: Shortcuts in DevOps don’t save time… They delay the pain. ✅ Focus on foundations first ✅ Adopt advanced tools with understanding ✅ Build systems that actually work in production #DevOps #CloudComputing #Kubernetes #Linux #Automation #TechCareers

DevOps looks glamorous… until it doesn’t. At first, everything feels exciting: ✨ AWS dashboards ✨ Automation scripts ✨ CI/CD pipelines ✨ Beautiful monitoring tools You feel like you're building the future. Then reality hits… You're SSH-ing into servers at 2 AM. You're digging through `/var/log` trying to find what broke. You're writing quick Bash scripts to fix production issues. You're debugging things that worked perfectly… yesterday. That’s when you realize: DevOps isn’t just about tools. It’s about problem solving, patience, and learning Linux deeply. My biggest DevOps lesson: You might ignore Bash & Linux at first… But eventually — the terminal finds you. And when it does, that's when you truly start growing as a DevOps engineer. #DevOps #Linux #Cloud #Automation #SRE #DevOpsEngineer 🚀

🚀 Who is a DevOps Engineer? A DevOps Engineer bridges development and operations to build, automate, and deliver software faster and more reliably. From code → CI/CD → containers → cloud → users, the focus is on speed, automation, scalability, and stability. ⚙️ 💡 Key areas: ✔️ Automate repetitive tasks ✔️ Fast & reliable deployments ✔️ Scalable infrastructure ✔️ Continuous monitoring & feedback ✔️ Security & system reliability DevOps is not just a role — it’s a mindset of continuous improvement. 🔁 #DevOps #DevOpsEngineer #CloudComputing #AWS #Docker #Kubernetes #CICD #Automation #Linux #SoftwareEngineering #Monitoring #Scaling #Tech #I

🚀 DevOps Roadmap — A Structured Path to Becoming a DevOps Engineer DevOps is not a single skill — it’s a combination of multiple domains working together ⚡ From version control to cloud, from CI/CD to monitoring — each step plays a critical role in building scalable and reliable systems. This roadmap highlights the key areas every aspiring DevOps engineer should focus on 👇 🔹 Programming & scripting (Python, Bash, PowerShell) 💻 🔹 Version control (Git) 🔁 🔹 CI/CD pipelines (Jenkins, GitLab CI/CD) 🚀 🔹 Infrastructure as Code (Terraform, CloudFormation) 🏗️ 🔹 Containerization & orchestration (Docker, Kubernetes) 📦 🔹 Monitoring & logging (Prometheus, Grafana, ELK) 📊 🔹 Cloud platforms (AWS, Azure, GCP) ☁️ 🔹 Networking & security fundamentals 🔐 💡 Key Insight: DevOps is about understanding how all these components connect — not just learning tools individually. Consistency + hands-on practice is what turns this roadmap into real skills 🔥 #DevOps #DevOpsRoadmap #CloudComputing #AWS #Kubernetes #Docker #Terraform #Jenkins #Linux #Automation #SoftwareEngineering #ContinuousLearning

🚀 Ansible in DevOps: Simplicity That Scales Power In a world full of complex automation tools, Ansible stands out for one simple reason: 👉 It works without agents. 💡 Most people know Ansible for basic configuration management, but here are some less-talked powerful capabilities: 🔹 Idempotency by Design Run the same playbook multiple times — results stay consistent. No unintended changes, no surprises. 🔹 Human-Readable YAML No heavy coding required. Even non-developers can understand infrastructure workflows easily. 🔹 Dynamic Inventory Integration Easily integrate with cloud providers like AWS, Microsoft Azure, and Google Cloud Platform to manage scaling infrastructure. 🔹 Powerful Orchestration Not just config management — you can orchestrate complete application deployments across multiple environments. 🔹 Security First Approach With Ansible Vault, sensitive data like passwords and keys remain encrypted. 🔹 CI/CD Integration Seamlessly integrate with pipelines in Jenkins, GitHub Actions, and GitLab CI/CD. 🔥 Real Use Case: Imagine provisioning 50 servers, installing dependencies, deploying applications, and configuring load balancers — all in one playbook run. That’s the power of automation done right. 💬 Final Thought: “Don’t just manage infrastructure… automate it intelligently.” #Ansible #DevOps #Automation #InfrastructureAsCode #CloudComputing #Linux #SRE #CICD #YAML #Tech #ITAutomation #DevOpsEngineer #Learning #CareerGrowth DevOps Tata Consultancy Services Dikshant Hadke Vaibhav More #CloudEngineer Google Cloud RedHat Recruitment