AWS CLI & EC2 Automation for DevOps Engineers

🛠️ AWS & DevOps Beginner's Roadmap – A Clear Path to Career Readiness A structured learning journey for anyone starting out in AWS and DevOps, organized into key stages from foundational knowledge to hands-on, job-ready skills. The roadmap covers: ✅ Foundations – Cloud Concepts, Linux Basics, Git ✅ Fundamentals – Compute (EC2, Lambda), Storage (S3), Networking (VPC), IAM ✅ Infrastructure as Code (IaC) – Terraform, CloudFormation, automating deployments ✅ CI/CD – Jenkins, AWS CodePipeline, building & testing code ✅ Deployment & Containers – Staging/production, Docker, Kubernetes ✅ Monitoring & Logging – CloudWatch, ELK Stack, performance tracking ✅ Core themes – Security, automation, observability, and storage #DevOps #AWS #CloudComputing #roadmap #linux #Compute #IaC #CI/CD #Docker #Kubernetes #Monitoring #Automation #Security #Storage

🚀 AWS & DevOps Roadmap 2026 – Beginner to Pro Starting your journey in AWS & DevOps can feel overwhelming… but with the right roadmap, it becomes much simpler. Here’s a structured path to follow 👇 ✅ Build strong foundations – Linux, Networking, Git ✅ Master core AWS services (EC2, S3, IAM, VPC) ✅ Understand High Availability & Databases ✅ Learn DevOps tools like Docker, Kubernetes & CI/CD ✅ Dive into Infrastructure as Code (Terraform, CloudFormation) ✅ Implement real-world CI/CD pipelines ✅ Focus on Monitoring & Logging (CloudWatch, Prometheus, Grafana) ✅ Explore advanced topics like Security & Microservices 💡 Pro Tip: Don’t just learn… build projects. That’s where real DevOps skills are developed. I’ll be following this roadmap step-by-step and sharing my learnings along the way. 👉 What would you add to this roadmap? #AWS #DevOps #CloudComputing #Roadmap #Learning #Beginners #Tech #PlatformEngineering #CloudEngineer

🐳 Understanding the Core Components of Docker Docker is not just a tool — it has become a fundamental part of modern DevOps and application deployment. Today, I revisited the core components of Docker and explored how each plays a crucial role in containerization: 🔹 Docker Client – The interface used to interact with Docker 🔹 Docker Daemon – The backend service that manages containers and images 🔹 Docker Image – A blueprint used to create containers 🔹 Docker Container – A lightweight, isolated environment to run applications 🔹 Dockerfile – A script that defines how an image is built 🔹 Docker Network – Enables communication between containers 🔹 Docker Volume – Provides persistent data storage 🔹 Docker Registry – Stores and distributes Docker images 🔹 Docker Host – The machine where Docker runs 🔹 Plugins – Extend Docker’s capabilities Understanding these fundamentals is essential for anyone stepping into DevOps, Cloud Computing, CI/CD, or Kubernetes. #Docker #DevOps #Containers #CloudComputing #AWS #Linux #Kubernetes

I spent the last 30 days learning DevOps. Here’s what I learned (no fluff) 👇 🔹 Docker is NOT optional 🔹 Terraform makes infra reproducible 🔹 CI/CD is the backbone of DevOps 🔹 Monitoring is as important as deployment 🔹 Debugging skills matter more than tools 🧠 Tools I worked on: → AWS (ECS, EC2, CloudWatch) → Docker → Terraform → GitHub Actions 💥 Reality: DevOps is NOT easy But it’s worth it. If you're starting — focus on hands-on projects, not just tutorials. #DevOpsJourney #AWS #Docker #Terraform #LearningInPublic

🚀 Exploring Kubernetes Architecture (K8s) – The Backbone of Modern DevOps Understanding Kubernetes at a deeper level is essential for building scalable and production-ready systems in today’s cloud-driven world 💡 🔹 Control Plane – Orchestrates and manages the entire cluster 🔹 Worker Nodes – Execute workloads through Pods 🔹 Core Components – API Server, Scheduler, Controller Manager & etcd ensure seamless cluster operations 📌 This architecture highlights how modern applications achieve high availability, scalability, and fault tolerance in real-world environments. Currently strengthening my DevOps skillset by working with Kubernetes, AWS, Docker, and CI/CD pipelines 🚀 📈 Focused on continuous learning and building real-world expertise in cloud and DevOps. #Kubernetes #DevOps #AWS #Docker #Jenkins #CloudComputing #K8s #Learning #CareerGrowth

🚀 DevOps Roadmap 2026 (Step-by-Step Guide) Confused about how to start your DevOps journey? 🤔 Don’t worry — here’s a simple roadmap that actually works 👇 🧭 Step 1: Learn Basics ➡️ Networking (IP, DNS, HTTP/HTTPS) ➡️ OS fundamentals 🐧 Step 2: Master Linux ➡️ Commands, permissions, processes ➡️ Shell scripting 🔄 Step 3: Version Control ➡️ Git & GitHub (push, pull, branching) 🐳 Step 4: Docker ➡️ Containers, images, Dockerfile ☸️ Step 5: Kubernetes ➡️ Pods, deployments, services 🔁 Step 6: CI/CD ➡️ Jenkins / GitHub Actions ➡️ Automate build & deployment ☁️ Step 7: Cloud ➡️ AWS / Azure basics ➡️ Deploy real applications ⚙️ Step 8: Terraform (IaC) ➡️ Infrastructure automation 📊 Step 9: Monitoring ➡️ Prometheus + Grafana 🔥 Golden Rule: 👉 Practice daily + Build projects + Stay consistent 💡 Bonus Tip: Don’t just watch tutorials — IMPLEMENT everything! 💬 Comment “ROADMAP” and I’ll share: ✔️ Free resources ✔️ Project ideas ✔️ Interview questions #DevOps #Roadmap #Kubernetes #Docker #AWS #Azure #Linux #Cloud #ITJobs #CareerGrowth #Automation #Tech

🚀 Built my first real-world AWS infrastructure using Terraform Not just tutorials. Not copy-paste. I wanted to understand how real DevOps teams design infrastructure — so I built it from scratch 👇 🔹 Designed a VPC with public subnet + EC2 deployment 🔹 Configured Security Groups (SSH, HTTP, custom rules) 🔹 Implemented remote state using S3 + DynamoDB (state locking 🔐) 🔹 Broke everything into reusable Terraform modules 🔹 Applied Infrastructure as Code principles end-to-end Biggest learning? 👉 Writing Terraform is easy 👉 Designing scalable, reusable infrastructure is the real skill I also got hands-on with: • State management & locking • Variables & environment structuring • Terraform CLI workflows (init, plan, apply, destroy) • Debugging real infra issues Now moving towards: ➡️ CI/CD pipelines with Terraform ➡️ Kubernetes (EKS) deployments ➡️ Multi-environment (dev/qa/prod) setups This is just the start — building towards production-level DevOps 🚀 #DevOps #Terraform #AWS #InfrastructureAsCode #CloudEngineering #CI_CD

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

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

🚀 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