Ansible Installation and Automation with KodeKloud

🚀 Ansible Inventory In Ansible, the inventory file defines the managed machines (hosts) that Ansible targets. It is a fundamental part of Ansible’s structure. 📌 Key Things to Understand: ✔️ What is an inventory file ✔️ Types of inventory ✔️ How to create & manage them 🔹 Types of Inventory 1️⃣ Static Inventory 🛠️ Hosts are added and managed manually ⚠️ Maintenance: Manual updates → error-prone 📉 Scalability: New machines must be added manually ❌ Accuracy: Can go out of sync with actual systems 2️⃣ Dynamic Inventory ⚙️ Uses plugins to automatically fetch & update host details ✅ Maintenance: Automated updates reduce effort 📈 Scalability: Easily add/remove machines 🔄 Accuracy: Always in sync (real-time data) 💡 Conclusion 👉 Dynamic inventory is ideal for large-scale environments 👉 However, in RH294, we mainly work with static inventory #Ansible #Automation #DevOps #Linux #RH294 #ITInfrastructure #CloudComputing

🚀 Learning & Implementing Ansible Automation Today I successfully set up an Ansible lab environment with a controller and multiple Ubuntu machines. I practiced configuring inventory, managing SSH connectivity, and running ad-hoc commands and playbooks. 🔧 What I worked on: Installed and configured Ansible on controller node Created and managed inventory groups Set up password & SSH key-based authentication Executed ad-hoc commands (uptime, package updates, system info) Created and debugged playbooks (YAML indentation matters!) Automated tasks like package management and system checks 💡 Key Learning: Ansible is agentless and powerful for managing multiple systems efficiently. Proper YAML structure and SSH configuration are critical for smooth automation. 🎯 Next Goal: Exploring advanced concepts like roles, variables, and automating real-world deployments (e.g., Nginx, user management, security tools). #Ansible #Automation #DevOps #Linux #SystemAdministration #Networking #LearningJourney

Ansible is not just automation. It's documentation. A well-written playbook tells you: → What the server should look like → What steps were taken to get there → What can go wrong and how to handle it Compare that to a runbook written in Confluence that's 18 months out of date. Executable documentation > Static documentation. If your playbooks are readable by a junior engineer on their first day, you've done it right. #Ansible #DevOps #Automation #Infrastructure #Linux

Hands-on practice is where real learning happens, and today’s task from KodeKloud reinforced the power of simple Linux tools in a DevOps workflow. 🎯 Objective Within a simulated Stratos Datacenter environment, the goal was to update an XML template used by the Nautilus application by replacing all placeholder values. Specifically: Replace every occurrence of Sample with Maritime in: /root/nautilus.xml 🛠️ Solution Used the sed stream editor to perform an in-place, global replacement: sudo sed -i 's/Sample/Maritime/g' /root/nautilus.xml 🔍 What This Reinforces Efficient file manipulation is a core DevOps skill Small commands can solve real-world configuration problems Practicing in labs like KodeKloud builds confidence for production environments ✅ Outcome The XML template was successfully updated and is now ready for use with the correct values. 💡 Key Takeaway: Mastering foundational Linux commands like sed can significantly speed up automation and troubleshooting tasks. #DevOps #Linux #KodeKloud #HandsOnLearning #Automation #CloudEngineering #SysAdmin

Episode 7 of the DevOps Tools Engineer 2.0 Introduction series dives into exam objective #ContainerOrchestration. Learn how #DockerCompose & #PodmanCompose define and run multi-container applications for modern #DevOps workflows: https://lpi.org/4nh7 Linux Professional Institute (LPI) #DevOps #containerorchestration #dockercompose #podmancompose #microservices #services #networks

Episode 7 of the DevOps Tools Engineer 2.0 Introduction series dives into exam objective #ContainerOrchestration. Learn how #DockerCompose & #PodmanCompose define and run multi-container applications for modern #DevOps workflows: https://lpi.org/4nh7 Linux Professional Institute (LPI) #DevOps #containerorchestration #dockercompose #podmancompose #microservices #services #networks

🚀 Kubernetes Hands-on: Working with Namespaces I recently worked on implementing Kubernetes Namespaces to understand how workloads can be logically separated within a cluster. What I did: ✓ Created multiple namespaces: dev, staging, and prod ✓ Deployed resources inside specific namespaces ✓ Switched default namespace using CLI for efficient operations ✓ Verified resources using namespace-specific commands ✓ Performed cleanup by deleting namespaces and associated resources Why I did this: 🔹Namespaces are critical in real-world Kubernetes environments to: 🔹Isolate applications across different environments 🔹Avoid resource conflicts between teams 🔹Improve organization and access control Proof of Work: ✓ Successfully created and managed multiple namespaces ✓ Verified pods running in different namespaces ✓ Demonstrated namespace switching and cleanup using kubectl Key Learning: Proper namespace management ensures better control, scalability, and safer operations in production environments. special thanks to Ashutosh S. Bhakare sir for the guidance #Kubernetes #DevOps #CloudComputing #K8s #LearningByDoing #Containers #Linux #DevOpsJourney

Day 69/90 — Ansible Playbooks & Modules 🚀 Today I moved beyond ad-hoc commands and wrote my first real Ansible playbooks as part of #90DaysOfDevOps! Here's what I built and learned: ✅ Wrote my first playbook to install Nginx, start the service, and deploy a custom HTML page ✅ Proved idempotency — ran the same playbook twice, second run showed changed=0 ✅ Practiced 7 essential modules: apt, service, copy, file, command, shell, lineinfile ✅ Understood the difference between command and shell modules ✅ Learned handlers — tasks that only trigger when something actually changes ✅ Used --check --diff for safe dry runs before applying changes The moment that clicked for me: running the same playbook twice and watching Ansible make zero changes the second time. That's idempotency — and it's what makes infrastructure automation reliable at scale. Ansible doesn't just run commands. It enforces desired state. 🔥 #90DaysOfDevOps #DevOpsKaJosh #TrainWithShubham #Ansible #DevOps #InfrastructureAsCode #Linux #Automation #LearningInPublic

Episode 7 of the DevOps Tools Engineer 2.0 Introduction series dives into exam objective #ContainerOrchestration. Learn how #DockerCompose & #PodmanCompose define and run multi-container applications for modern #DevOps workflows: https://lpi.org/4nh7 Linux Professional Institute (LPI) Fabian Thorns Uirá Ribeiro #DevOps #containerorchestration #dockercompose #podmancompose #microservices #services #networks

Ansible For Containers and Kubernetes By Examples: 20+ Automation Examples To Automate Containers, Kubernetes and OpenShift by Luca Berton is the featured course 🎓 on Leanpub! Save time automating day-to-day operation in Containers, Kubernetes, and OpenShift domain with Ansible automation technology with some real-life examples. Simplify your system administrator journey with Docker, podman, Kubernetes, and OpenShift tools. These are technologies very requested in the market nowadays. Link: https://lnkd.in/g5vztMen