DevOps & Cloud Roadmap: From Beginner to Advanced

🚀 I stopped chasing tools… and started understanding DevOps. At first, I thought DevOps was all about learning tools like Docker, Jenkins, or Kubernetes. But over time, I realized — DevOps is not about tools. It’s about solving problems. Problems like: ❌ Slow deployments ❌ Manual errors ❌ Unstable systems ❌ Scaling issues So I changed my approach 👇 Instead of just “learning tools”, I started focusing on: 🔹 Building strong foundations Linux, networking, and troubleshooting 🔹 Understanding cloud deeply Working with AWS & Azure services beyond just basics 🔹 Automating everything possible CI/CD pipelines using Jenkins + Git 🔹 Thinking in containers Docker for packaging, Kubernetes for scaling 🔹 Writing infrastructure as code Terraform + Ansible for consistency and automation 🔹 Improving reliability Monitoring with CloudWatch & Grafana And that’s when things started making sense 💡 📌 DevOps is a mindset — not just a skillset. Still learning. Still building. Still improving every day 🚀 If you’re on the same journey, let’s connect 🤝 #DevOps #AWS #Azure #Docker #Kubernetes #Jenkins #Terraform #Ansible #Cloud #Automation #Learning #opentowork

🛠️ 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

🚀 Starting My 90-Day DevOps Journey Over the past few months, I’ve been building a strong foundation in cloud computing, working with AWS services, deploying applications, and exploring scalable architectures. Now, I’m taking the next step diving deep into DevOps with a structured 90 day plan. 💡 Why DevOps?  I want to bridge the gap between development and operations not just writing code, but also automating, deploying, and managing systems efficiently in real-world environments. 📌 What I’ll be focusing on:  - Linux fundamentals & system management  - Shell scripting & automation  - Networking basics  - Git & GitHub workflows  - Docker & containerization  - AWS (core + advanced services)  - Azure - CI/CD (GitHub Actions, Jenkins)  - Kubernetes & orchestration  - Infrastructure as Code (Terraform, Ansible)  - Monitoring (Grafana, Prometheus) 🚀 Final end-to-end DevOps project 📅 Plan: 90 days of consistent learning, building, and sharing. I’ll be documenting my journey with:  - Weekly updates  - Hands-on projects  - Key learnings & challenges If you’re already in DevOps or Cloud, I’d love your suggestions and guidance 🙌  And if you’re on a similar journey, let’s connect and grow together! #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham #AWS #CloudComputing #LearningInPublic #Docker #Kubernetes #Terraform #CICD #TechJourney

Over the past 1 year, I’ve gained hands-on experience working in a DevOps & Multi-Cloud environment, contributing to real-world projects and solving practical challenges. Here’s a snapshot of my experience: 🔹 Multi-Cloud Exposure Worked with AWS and Azure platforms to deploy and manage applications, focusing on availability, performance, and basic cost optimization strategies. 🔹 CI/CD Pipelines Built and supported CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps, helping automate build and deployment processes and improve release efficiency. 🔹 Infrastructure as Code (IaC) Used Terraform and CloudFormation to provision and manage infrastructure, ensuring consistency across environments and reducing manual effort. 🔹 Containerization & Orchestration Worked with Docker and Kubernetes (EKS/AKS) for containerizing applications and managing deployments with minimal downtime. 🔹 Monitoring & Logging Implemented monitoring using tools like Prometheus, Grafana, and CloudWatch to track system performance and respond to issues proactively. 🔹 Security Practices Followed best practices such as IAM role management, secrets handling, and basic security checks within deployment pipelines. 🔹 Team Collaboration Collaborated with development and QA teams in Agile environments to support smooth releases and faster delivery cycles. 💡 Key Learnings & Impact: ✔️ Improved deployment speed ✔️ Gained strong cloud fundamentals ✔️ Enhanced troubleshooting skills ✔️ Contributed to reliable application delivery Still learning, still improving — and excited to grow further in the DevOps space 🚀 #DevOps #MultiCloud #AWS #Azure #Kubernetes #Docker #Terraform #CICD #Cloud #LearningJourney

🚀 Mastering DevOps: From Theory to Real-World Scenarios Success in DevOps isn’t just about tools, it’s about understanding how everything connects. From Linux fundamentals and CI/CD pipelines to Docker, Kubernetes, and Cloud (AWS/Azure), building strong foundations is key. 💡 Key takeaways: ● DevOps is about automation, collaboration, and reliability ● Understanding real-world scenarios matters more than memorizing answers ● Tools like Jenkins, Docker, and Kubernetes are powerful only when used with the right architecture mindset 📘 Currently exploring topics like: ● CI/CD pipelines with Jenkins ● Containerization with Docker ● Orchestration with Kubernetes ● Cloud DevOps practices I’m highly motivated to continuously learn, explore new concepts, and grow every day in this field. This journey is not just about preparing for interviews. It’s about building the mindset and skills of a strong engineer. #DevOps #Cloud #Kubernetes #Docker #Jenkins #AWS #SRE #TechLearning

🔥 Terraform Commands Every DevOps Engineer Must Know If you're working with Infrastructure as Code, mastering Terraform CLI is a must. Here are the core commands explained simply: 🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗶𝗻𝗶𝘁 Initializes your working directory, downloads providers, and sets up backend. 👉 Run this first before anything else. 🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲 Checks whether your configuration files are syntactically valid. 👉 Helps catch errors early. 🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗽𝗹𝗮𝗻 Creates an execution plan showing what Terraform will do. 👉 Think of it as a preview before deployment. 🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗮𝗽𝗽𝗹𝘆 Applies the changes required to reach the desired state. 👉 This actually creates/updates infrastructure. 🔹 𝘁𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝘁𝗿𝗼𝘆 Deletes all managed infrastructure. 👉 Useful for cleanup and cost control. 💡 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: ✔ Always run 𝚙̲𝚕̲𝚊̲𝚗̲ before 𝚊̲𝚙̲𝚙̲𝚕̲𝚢̲ ✔ Use version control (Git) with Terraform ✔ Store state securely (remote backend like S3, Azure Storage) ✔ Use modules for reusable infrastructure 🚀 Terraform is not just a tool - it's a career accelerator in DevOps & Cloud. If you're learning DevOps, start practicing these commands today! Learning with fun with DevOps Insiders Aman Gupta Ashish Kumar 💬 What’s your favorite Terraform command or tip? Let’s discuss 👇 #terraform #devops #cloud #aws #azure #gcp #iac #infrastructureascode #automation #cloudcomputing #devopsengineer #sre #platformengineering #kubernetes #docker #linux #programming #developer #techcareer #learning #growth #trending #linkedinpost #engagement

🚀 Breaking into DevOps? Read this before you start. Most beginners make one big mistake: They jump straight into tools like Kubernetes, Docker, or AWS… …and then feel overwhelmed. Here’s the truth 👇 You can’t skip the foundation. If you want to become a job-ready DevOps Engineer, follow this roadmap: 👉 Start with Linux fundamentals 👉 Understand core Networking concepts 👉 Learn Scripting (Bash / Python) 👉 Build real CI/CD pipelines 👉 Work hands-on with Docker & Kubernetes 👉 Then move to Cloud (AWS / Azure) 👉 Finally, learn Terraform & automation 💡 What most people don’t realize: DevOps is NOT about tools. It’s about: ✔ Problem-solving mindset ✔ Automation thinking ✔ Real-world experience ⚠️ Skipping steps might feel fast… but it slows your growth later. ✔ Building step by step creates confidence and clarity. 📌 If you're serious about transitioning into DevOps and getting job-ready, focus on consistency over shortcuts. I regularly share practical guidance, roadmaps, and insights to help you grow in your DevOps journey. Follow along if you're on the same path 👇 #DevOps #CloudComputing #AWS #Kubernetes #Docker #CareerGrowth #ITJobs #LearningJourney

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

🚀 Mastering DevOps: From Theory to Real-World Impact DevOps is not just about learning tools — it's about understanding how systems work together in real-world environments. From mastering Linux fundamentals to building CI/CD pipelines, working with containers, and deploying scalable cloud infrastructure — every step builds a stronger engineering mindset. 💡 What I’ve learned so far: 🔹 DevOps is all about automation, collaboration, and reliability 🔹 Real-world problem-solving > memorizing interview answers 🔹 Tools like Jenkins, Docker, and Kubernetes are powerful only when used with the right architecture mindset 📘 Currently diving deeper into: ✔️ CI/CD pipelines using Jenkins ✔️ Containerization with Docker ✔️ Kubernetes orchestration ✔️ Cloud DevOps practices (AWS/Azure) I’m continuously learning, experimenting, and improving every day. This journey is not just about landing a job. It’s about becoming a skilled, reliable, and impactful engineer. #DevOps #CloudComputing #AWS #Azure #Kubernetes #Docker #Jenkins #SRE #ContinuousLearning #TechCareers #InfrastructureAsCode #Automation #Devops