Terraform CLI Commands Every DevOps Engineer Must Know

Not because they have ⭐ thousands of stars… But because they actually teach you how to think, build, and operate systems the right way. If you're serious about becoming a DevOps Engineer, these 10 repositories are pure gold 👇 🔹 A goldmine of CLI tricks, cheat sheets, and deep DevOps wisdom https://lnkd.in/gVxszVx9 🔹 Hands-on DevOps, Linux, networking & cloud exercises https://lnkd.in/g2puFZw9 🔹 Complete AWS + DevOps roadmap with real projects https://lnkd.in/gJ4pCapf 🔹 Learn Docker with practical, beginner-friendly content https://lnkd.in/gMhuH7-E 🔹 Everything you need to master the Kubernetes ecosystem https://lnkd.in/gpUJkMAq 🔹 Terraform explained with hands-on examples https://lnkd.in/gcsCg8XN 🔹 Real-world DevOps implementation in production environments https://lnkd.in/gfAs7Z2F 🔹 Curated system design interview prep resources https://lnkd.in/gPxdakXi 🔹 Learn by building real-world projects across domains https://lnkd.in/gXEc-MmY 💡 Don’t just learn tools — learn how systems work together. 📌 Save this post for later 🔁 Repost to help other DevOps aspirants #DevOps #AWS #Docker #Kubernetes #Terraform #CloudComputing #SRE #SystemDesign #juniordevops #enginner

🔹 🚀 Breaking into DevOps? Most beginners want to jump straight to the top… but the real journey looks different. You can’t skip the foundation. 👉 Start with Linux basics 👉 Understand Networking 👉 Learn Scripting (Bash/Python) 👉 Build CI/CD pipelines 👉 Master Docker & Kubernetes 👉 Then move to Cloud (AWS/Azure) 👉 Finally explore Terraform, AI, and automation tools 💡 The truth? DevOps is not about tools — it’s about problem-solving, automation, and mindset. Skipping steps might feel fast… but it slows you down later. 📌 Build step by step. Stay consistent. That’s how real DevOps engineers grow. #DevOps #LearningJourney #CloudComputing #Kubernetes #Docker #Terraform #CareerGrowth #ITJobs

It rightly highlights that DevOps is about strong fundamentals not just tools The step-by-step path is helpful for beginners, and the focus on mindset and problem-solving is spot on. Adding hands-on projects would make it even more impactful.

Breaking into DevOps? Most beginners want to jump straight to the top… but the real journey looks different. You can’t skip the foundation. 👉 Start with Linux basics 👉 Understand Networking 👉 Learn Scripting (Bash/Python) 👉 Build CI/CD pipelines 👉 Master Docker & Kubernetes 👉 Then move to Cloud (AWS/Azure) 👉 Finally explore Terraform, AI, and automation tools 💡 The truth? DevOps is not about tools — it’s about problem-solving, automation, and mindset. Skipping steps might feel fast… but it slows you down later. 📌 Build step by step. Stay consistent. That’s how real DevOps engineers grow. #DevOps #LearningJourney #CloudComputing #Kubernetes #Docker #Terraform #CareerGrowth #ITJobs

🚀 End-to-End DevOps CI/CD Pipeline Implementation on AWS I recently completed a hands-on project focused on building and automating the deployment of a containerized application using AWS and modern CI/CD practices. https://lnkd.in/edPryFaF 🔹 Project Overview Designed and implemented a complete CI/CD pipeline to automate application build, containerization, infrastructure provisioning, and deployment on AWS. 🔹 Key Responsibilities & Implementation • Containerized application using Docker for consistent and portable deployment • Configured GitHub Actions to automate: * Docker image build process * Secure push of images to AWS Elastic Container Registry (ECR) • Provisioned cloud infrastructure using Terraform (Infrastructure as Code): * Created custom VPC with networking components * Configured Security Groups for controlled access * Deployed EC2 instance for application hosting • Automated deployment workflow: * Pulled latest Docker image from ECR to EC2 * Deployed and managed container lifecycle on EC2 🔹 Technology Stack Docker | GitHub Actions | AWS (ECR, EC2, VPC) | Terraform | Linux 🔹 Key Outcomes ✔ Built a fully automated CI/CD pipeline from code commit to deployment ✔ Gained practical experience with Infrastructure as Code (IaC) ✔ Strengthened understanding of cloud-based container deployment #CloudEngineering#AWS #Terraform #Docker #GitHubActions #DevOps #CI_CD #InfrastructureAsCode #NewZealandJobs

Terraform Commands Cheat Sheet – A Must-Have for DevOps Engineers! Mastering Terraform is essential for building and managing infrastructure as code. Here’s a quick cheat sheet covering the most commonly used Terraform commands to boost productivity and efficiency. 💡 What’s included? ✔️ Basic commands (init, plan, apply, destroy) ✔️ State management ✔️ Modules & variables ✔️ Workspaces for multi-environment setups ✔️ Provisioners & best practices 📌 Whether you're a beginner or an experienced DevOps engineer, having these commands at your fingertips can save time and reduce errors. 🔥 Pro Tip: Always run terraform plan before apply to avoid unexpected changes! #Terraform #DevOps #InfrastructureAsCode #CloudComputing #Automation #AWS #Azure #GCP #SRE #TechLearning

☁️ Cloud & DevOps — Build, Deploy & Scale Modern Applications 🚀 Modern software isn’t just about writing code, it’s about how efficiently you build, deploy, and scale it. This booklet simplifies the core concepts behind today’s production ready systems. Inside this guide: • Cloud Computing basics (AWS & core services) • CI/CD pipelines for automated deployment • Docker containerization made simple • Git workflows for team collaboration • Essential Linux commands for developers 💡 Why it matters: Cloud & DevOps skills are the backbone of modern applications — enabling speed, scalability, and reliability in real world systems. 🚀 Whether you're a student or aspiring developer, this is your foundation for entering high demand cloud and backend roles. 💬 Which topic would you like to learn first — Cloud, Docker, or CI/CD? 🔗 Register now at https://vilabsacademy.uk 📞 Contact us: ‪+44 7853 753852‬ | ‪‪info@vilabsacademy.uk #CloudComputing #DevOps #AWS #Docker #CICD #Linux #Git #SoftwareDevelopment #TechEducation #FutureSkills #EdTech

🚀 DevOps & Cloud Roadmap – From Beginner to Advanced If you're planning to build a career in DevOps or Cloud, the biggest challenge is knowing what to learn and in what order. Here’s a simple roadmap that can guide you step-by-step: 🔹 Start with Foundations Learn Linux, Bash, and Python. Strong basics = long-term success. 🔹 Version Control is a Must Master Git, GitHub, and workflows. This is non-negotiable in real-world projects. 🔹 Automation & Configuration Tools like Ansible and scripting help you save time and reduce manual work. 🔹 Infrastructure as Code (IaC) Get hands-on with Terraform or CloudFormation to manage infrastructure efficiently. 🔹 Containers & Orchestration Docker + Kubernetes = the backbone of modern deployments. 🔹 CI/CD Pipelines Learn GitHub Actions, Jenkins, or GitLab CI to automate build, test, and deploy. 🔹 Monitoring & Observability Use Prometheus, Grafana, and ELK stack to keep systems reliable. 🔹 Cloud Platforms Explore AWS, Azure, or GCP and apply everything in real-world scenarios. 💡 Mindset Matters More Than Tools: 👉 Automate 👉 Collaborate 👉 Improve 👉 Deliver Value This journey is not about learning everything at once — it’s about consistent progress. If you're preparing for DevOps or Cloud roles, start small, stay consistent, and build real projects. 💬 What stage are you currently in on this roadmap? #DevOps #CloudComputing #AWS #Azure #GCP #Kubernetes #Docker #Terraform #CI_CD #LearningJourney

Terraform Intro — Infrastructure as Code (IaC) made simple (How DevOps engineers create infrastructure like code) After working with AWS, one problem becomes clear: “Creating infrastructure manually is slow, error-prone, and not scalable.” That’s where Terraform comes in. ↘️ What is Terraform? Terraform is a tool that lets us: 👉 Create, update, and manage infrastructure using code Instead of clicking in AWS console, we write code like: <Hcl> resource "aws_instance" "app" { ami = "ami-123456" instance_type = "t2.micro" } Run: terraform apply 👉 our server is created automatically. ↘️ Simple understanding Terraform = “Code to create servers, networks, and cloud resources” ↘️ Why DevOps engineers use Terraform ✓ No manual setup ✓ Same environment every time ✓ Easy to scale infrastructure ✓ Version control (Git) ✓ Reusable configurations ↘️ Real DevOps use cases Create EC2 instances Setup VPC, subnets, security groups Provision S3 buckets Deploy full cloud architecture ↘️ How Terraform works (basic flow) Write code → terraform plan → terraform apply → Infrastructure created ↘️ Key concepts Providers → AWS, Azure, GCP Resources → EC2, S3, VPC State file → Tracks infrastructure Modules → Reusable code blocks ↘️ Real-world thinking Before Terraform: 👉 Manual setup → errors → inconsistency With Terraform: 👉 Automated → repeatable → reliable ↘️ Interview Tip If asked: “What is Infrastructure as Code?” Answer: “It is the practice of managing infrastructure using code instead of manual processes, and Terraform is one of the most popular tools for this.” Infrastructure is no longer manual — it’s programmable. #Terraform #DevOps #InfrastructureAsCode #AWS

🛠️ How I Troubleshot My Application in Kubernetes (Real DevOps Experience) One of the biggest lessons I learned while building my CloudNourish DevOps Platform was this: 👉 Things will break. And that’s where real learning happens. During deployment, my application didn’t work as expected in Kubernetes. Instead of guessing, I followed a structured troubleshooting approach: 🔍 1. Check Pod Status Started with: kubectl get pods → Found some pods were not running correctly 📜 2. Inspect Logs Used: kubectl logs → Identified errors related to configuration and startup issues 🧠 3. Describe the Resource kubectl describe pod → Helped me understand events like image pull issues, crashes, or missing configs 🌐 4. Validate Services & Networking Checked: kubectl get svc → Ensured services were correctly exposing the application ⚙️ 5. Verify Configurations Looked into: Environment variables ConfigMaps / Secrets Deployment YAML → Found misconfigurations affecting the application 🔄 6. Redeploy & Monitor After fixing issues: kubectl apply -f → Monitored rollout and ensured everything was stable 💡 Key Takeaways: • Troubleshooting is a core DevOps skill — not optional • Logs are your best friend 🧠 • Always follow a step-by-step approach (don’t panic) • Understanding the system helps you debug faster 🚀 This experience helped me gain confidence in handling real production-like issues. If you’re learning DevOps: 👉 Don’t just deploy — break things and fix them. What’s the most challenging issue you’ve debugged in Kubernetes? #DevOps #Kubernetes #Troubleshooting #Cloud #AWS #Learning #SRE #OpenToWork #OpenToWork #DevOps #DevOpsEngineer #CloudEngineer #AWS #AmazonEKS #Kubernetes #Docker #CI_CD #Jenkins #GitHubActions #GitLabCI #InfrastructureAsCode #Terraform #Ansible #Linux #ShellScripting #CloudComputing #AWSCloud #Azure #GoogleCloud #Microservices #Containerisation #Monitoring #Prometheus #Grafana #CloudWatch