DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

▶️ Real-time interview questions and answers 💬 related to Ansible:- 1. How would you ensure that a specific package is installed on multiple servers? Answer: You can use the package module in a playbook to ensure that a specific package is installed across multiple servers. 2. How do you handle different environments (development, testing, production) with Ansible? Answer: You can manage different environments by using inventory files and group variables. Create separate inventory files for each environment and use group variables to specify environment-specific configurations. Each hosts file would define the servers for that specific environment, and you can create a group_vars directory for each environment. 3. How would you restart a service after updating a configuration file? Answer: You can use the notify feature in Ansible to restart a service after a configuration file is updated. 4. How can you ensure idempotency in your Ansible playbook? Answer: Ansible modules are designed to be idempotent, meaning they can be run multiple times without changing the result beyond the initial application. For instance, if you use the file module to create a file, Ansible will check if the file already exists before trying to create it. 5. How do you handle secrets or sensitive data in Ansible? Answer: You can handle sensitive data using Ansible Vault, which allows you to encrypt files or variables. 6. Can you explain how you would deploy an application using Ansible? Answer: Define Inventory: Create an inventory file with the target hosts. Create a Playbook: Write a playbook that includes tasks for pulling the application code from a repository, installing dependencies, configuring files, and starting services. 7. How would you handle task failures and retries in Ansible? Answer: You can use the retry and when directives to handle task failures in Ansible. The retries and delay parameters can be specified for tasks that might need to be retried. 8. How would you roll back a deployment if the new version fails? Answer: To roll back a deployment, you can maintain a previous version of the application and use a playbook that checks the health of the new version before deciding to switch back. 9. How can you manage firewall rules across multiple servers using Ansible? Answer: You can use the firewalld or iptables modules to manage firewall rules. 10. How do you implement a continuous deployment pipeline using Ansible? Answer: To implement a continuous deployment pipeline, you can integrate Ansible with a CI/CD tool like Jenkins, GitLab CI, or GitHub Actions. 11. How can you check if a file exists and create it if it doesn't? Answer: You can use the stat module to check if a file exists and then use the copy or template module to create it if it doesn’t. 12. How can you execute a command on remote hosts and capture its output? Answer: You can use the command or shell module to run commands on remote hosts and register the output 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🟢 Enhanced appspec.yml – Added detailed deployment lifecycle hooks – Refined permissions settings 🟢 Improved buildspec.yml – Structured build phases – Comprehensive logging & validation steps 🟢 New Deployment Scripts – Validation checks for deployments – Environment health verification 🟢 Nginx Setup – Improved installation & startup scripts – Better error handling & logging ▶️ Detailed Project Explanation with Screenshots : https://blog.prodevopsguytech.com/aws-devops-real-time-deployment-dev-pre-prod-production 📱 Project Source code: https://github.com/NotHarshhaa/AWS-DevOps_Real-Time_Deployment 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔖Surprising but True: Many DevOps Engineers still haven't started learning the most trending Infrastructure as Code (IaC) tool — Terraform...!! If you haven’t started your Terraform journey, now’s the perfect time — New Year, New Skills...!! Checkout these must-read blogs to get started ➡️➡️ ⚡️ Terraform from 0 to Hero https://lnkd.in/dZMaBsct ⚡️ Terraform from 0 to hero — 1. What the heck is Terraform? https://lnkd.in/dDTkWgDD ⚡️ Terraform from 0 to hero — 2. Providers https://lnkd.in/dU9urS3A ⚡️ Terraform from 0 to hero — 3. Resources https://lnkd.in/dHExRPtH ⚡️ Terraform from 0 to hero — 4. Data Sources and Outputs https://lnkd.in/dNH4q59s ⚡️ Terraform from 0 to hero — 5. Variables and Locals https://lnkd.in/dQb6u-m6 ⚡️ Terraform from 0 to Hero — 6. Provisioners and Null Resources https://lnkd.in/dEm-cibn ⚡️ Terraform from 0 to hero — 7. Count, For_Each, and Ternary operators https://lnkd.in/dPV_GEq4 ⚡️ Terraform from 0 to Hero — 8. CLI Commands https://lnkd.in/dPV_GEq4 ⚡️ Terraform from 0 to Hero — 9 Functions https://lnkd.in/dDSVhWgh ⚡️ Terraform from 0 to Hero — 10. Files https://lnkd.in/dC5q3Tgr ⚡️ Terraform from 0 to Hero — 11. State https://lnkd.in/daRmdwQs ⚡️ Terraform from 0 to Hero — 12. Depends_On and LifeCycle Block https://lnkd.in/dYbdVr6p ⚡️ Terraform from 0 to Hero — 13. Dynamic Blocks https://lnkd.in/dQrQQ2PZ ⚡️ Terraform from 0 to Hero — 14. Modules https://lnkd.in/dnR-jnXw ⚡️ Terraform from 0 to Hero — 15. Best Practices for Modules I https://lnkd.in/dg8FD2Wn ⚡️ Terraform from 0 to Hero — 16. Best Practices for Terraform Modules II https://lnkd.in/dnr8BP-M 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 𝟲 𝗙𝗥𝗘𝗘 𝗘𝗻𝗱-𝗧𝗼-𝗘𝗻𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗼𝗻 𝗬𝗼𝘂𝘁𝘂𝗯𝗲 (𝟮𝗠+ 𝗩𝗶𝗲𝘄𝘀) 😳 Kick-start your career in DevOps with these hands-on projects! You’ll gain more knowledge than any paid course – 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘! Spend your weekend mastering DevOps with these amazing projects 👇 1️⃣𝗩𝗶𝗱𝗲𝗼 𝘁𝗼 𝗔𝘂𝗱𝗶𝗼 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗔𝗽𝗽 𝗼𝗻 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 🔗 https://lnkd.in/dpVThbJ7 ✅ Develop a microservices application in Python ✅ Convert video files to audio using Flask ✅ Deploy on Kubernetes using Helm Charts ✅ Integrate MongoDB, PostgreSQL, RabbitMQ, and Docker 2️⃣𝗗𝗲𝘃𝗢𝗽𝘀 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 𝗼𝗻 𝗔𝗪𝗦 🔗 https://lnkd.in/dyxNHkWS ✅ Build a DevOps project from the ground up ✅ Utilize AWS and Python ✅ Implement Docker for containerization ✅ Gain hands-on experience with essential DevOps tools 3️⃣𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: 𝗗𝗲𝗽𝗹𝗼𝘆 𝗡𝗲𝘁𝗳𝗹𝗶𝘅 𝗖𝗹𝗼𝗻𝗲 𝗼𝗻 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 🔗 https://lnkd.in/d_YnKBiA ✅ Build a DevSecOps pipeline ✅ Deploy a Netflix clone application ✅ Utilize Kubernetes for orchestration ✅ Implement security best practices 4️⃣𝗠𝗮𝗻𝗮𝗴𝗲 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗨𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 🔗 https://lnkd.in/dFa7uiYP ✅ Automate Spotify playlist management ✅ Leverage Terraform for Infrastructure as Code ✅ Understand API integrations ✅ Enhance scripting skills 5️⃣𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘄𝗶𝘁𝗵 𝗢𝗽𝗲𝗻𝗧𝗲𝗹𝗲𝗺𝗲𝘁𝗿𝘆: 𝗗𝗲𝗺𝗼 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 🔗 https://lnkd.in/dXDCYCyc ✅ Implement observability in applications ✅ Use OpenTelemetry for tracing ✅ Monitor and analyze application performance ✅ Gain insights into system behavior and health 6️⃣𝗦𝗶𝗺𝗽𝗹𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝗼 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝘄𝗶𝘁𝗵 𝗔𝗪𝗦 🔗 https://lnkd.in/dJnD3S32 ✅ Practice Terraform with AWS ✅ Understand Infrastructure as Code principles ✅ Deploy resources on AWS using Terraform ✅ Strengthen your automation skills

📌 More FREE projects on Cloud Champ YouTube Channel!

📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📣 New to DevOps? 📣 Here are the most widely used tools in the industry along with their official documentation: ➡️ Source Code Management: 1. Git: https://git-scm.com/docs 2. GitHub: https://docs.github.com/en 3. Bitbucket: https://lnkd.in/dA2PcM_w ➡️ Ticketing Tools: 1. Service Now: https://lnkd.in/d69yubJF 2. Jira: https://lnkd.in/dD_WcXFQ 3. Trello: https://trello.com/guide ➡️ Public Clouds: 1. AWS: https://lnkd.in/dMa9XpMa 2. Azure: https://lnkd.in/dBsJtZHy 3. GCP: https://lnkd.in/d3hmN-Jr ➡️ Containerization and Orchestration Tools: 1. Docker: https://docs.docker.com/ 2. Kubernetes: https://lnkd.in/dZXfQEqW 3. Mesos: https://lnkd.in/dqzvzJhY ➡️ Deployment Tools: 1. Terraform: https://lnkd.in/dM46h2_D 2. Octopus: https://octopus.com/docs 3. Heroku: https://lnkd.in/dCDuwvcj ➡️ Testing Tools: 1. Selenium: https://lnkd.in/dTnFN8bT 2. Cucumber: https://lnkd.in/dpmD4A9C 3. Postman: https://lnkd.in/d3xERi6c ➡️ Build Tools: 1. Maven: https://lnkd.in/dfgBnrZj 2. Gradle: https://lnkd.in/dv6rQczZ 3. Ant: https://lnkd.in/dQgMsgef ➡️ Pipeline Tools: 1. Jenkins: https://lnkd.in/dPmA6-ff 2. TravisCI: https://lnkd.in/dxxFaK_X 3. Argo CD: https://lnkd.in/dK5eXbYi ➡️ Monitoring Tools: 1. Grafana: https://lnkd.in/dX5anVq9 2. Prometheus: https://lnkd.in/ddxjc9bV 🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation. 🔵 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🟢 Most Cloud & DevOps engineers assume these new AI roles don’t concern them - but that’s where they’re wrong.. here’s how the role is evolving: ➡️ Model Development Data scientists, ML engineers, and prompt engineers design the models. ↳ But those models still need cloud infra — GPUs, storage, networking, scaling. That’s us. ➡️ Model Validation Model validators & ethicists check fairness and accuracy. ↳ DevOps ensures this happens in CI/CD pipelines with automated tests and gated deployments. ➡️ Deployment & Integration This is where Cloud/DevOps overlaps the most with AI roles: AI Architect, MLOps Engineer, Software Engineer ↳ We’re the ones putting models into production with Kubernetes, containers, APIs, and load balancers. ➡️ Monitoring & Governance Models need more than uptime checks — drift, bias, cost, compliance. ↳ Cloud/DevOps extends into AIOps: metrics, alerts, governance at scale. 📱 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐨𝐧 𝐆𝐢𝐭𝐇𝐮𝐛 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 : https://github.com/NotHarshhaa 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔝 20 DevOps and Cloud use cases ⚡️Here are 20 handpicked interesting ones. 1) AWS Architecture to Overcome API Gateway Pay Load Limit 🔠https://lnkd.in/gDzJiv3b 2) Kubernetes Pod Disruption Budget Practical Guide 🔠https://lnkd.in/gNZNxewk 3) How Provisioned Concurrency Cuts AWS Lambda Cold Starts by 98% 🔠https://lnkd.in/gkjzhEsv 4) How to Reduce Docker Image Size 🔠https://lnkd.in/gFzjeCXu 5) Multi Cloud GitOps Workflow for Kubernetes Management 🔠https://lnkd.in/gUGNMk2T 6) GitHub Actions Workflow for Terraform workspaces 🔠https://lnkd.in/gY4eQtwS 7) How To Convert Existing Cloud Infrastructure To Terraform 🔠https://lnkd.in/gSX6R7fK 8) Kubernetes Node Not Ready - How To Fix It 🔠https://lnkd.in/gksPqZYF 9) How One BigQuery Query Costs Shopify $1M a Month 🔠https://lnkd.in/gRRfYtXc 10) How AWS Handled 2024 Prime Day’s Record Breaking Traffic 🔠https://lnkd.in/g9RQ2fVc 11) Hidden Risk Of Relying On Labels In Kubernetes Security 🔠https://lnkd.in/gahmCwBB 12) Detecting and Mitigating Image Vulnerabilities with Docker Scout 🔠https://lnkd.in/gM4-wdCV 13) Security Researcher Exposed AWS Keys and API Secrets of $1B VC Firm in 5 Clicks 🔠https://lnkd.in/g_cmgR7D 14) Guide to a Well Structured Terraform Project 🔠https://lnkd.in/gZtsrsFu 15) Cloud Disaster Recovery Strategies 🔠https://lnkd.in/gTgjkNm9 16) Why should a container have only one process? 🔠https://lnkd.in/gKqD4GTf 17) AWS VPC Gateway Endpoints - The Most Underrated Cost Savers 🔠https://lnkd.in/g7-CUNfZ 18) The Problem With Overusing Terraform Dynamic Blocks 🔠https://lnkd.in/g7za-55Z 19) How Levels. fyi Cuts Cloud Bill By 15% 🔠https://lnkd.in/gVNwFnxB 20) Kubernetes Air Gap Implementation 🔠https://lnkd.in/gxxqWdEE 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 DevOps Interview Experience at Aziro 🚀 Recently interviewed with Aziro for a DevOps role. The panel asked a wide range of practical and scenario-based questions covering Linux, AWS, Terraform, Docker, Kubernetes, CI/CD, and general DevOps practices. 🔹 General - Introduce yourself & explain your project - What are your day-to-day responsibilities? 🔹 Linux - How do you check running processes in Linux? - How to schedule a cron job every 15 mins? - Difference between Hard vs Soft links/find vs locate. - How to find processes using the most CPU & memory? - What is log rotation, inode, runlevels? - What does chmod 755 mean? - How to set default file & directory permissions? - How to check if a port is open/listening? - How to Configuring a static IP address - How to do Mounting & unmounting in linux. - How to check disk partitions & usage - what is Sticky bit, setuid, setgid 🔹 CI/CD - How do you migrate pipelines from one CI/CD tool to another? - How do you store secrets in CI/CD securely? - Why is GitHub Actions gaining popularity? - Can Docker containers be used as CI/CD agents? - How do you enforce pipeline security from Git → deployment? 🔹 Terraform - How do you securely store the state file? - How do you avoid storing secrets in Terraform/Terragrunt? - How to restrict resource deletion but allow init/plan/apply? - Difference between count and for_each - Lifecycle blocks – real-world use cases - What happens during terraform init, plan, apply? 🔹 AWS - Public vs Private subnets - What is CloudFront, Elastic IP? - VPC Peering vs Direct Connect (when to use which?) - Explain Route53 routing policies - How to monitor CPU, memory, and disk of 50+ EC2 instances with CloudWatch? - Workaround if private key is lost and SSM is disabled 🔹 Docker - Difference between CMD, ENTRYPOINT, and RUN - Volumes vs Bind Mounts – when to use each? - What are Cgroups and dangling objects? - Techniques to cache Docker layers in pipelines - How to delete all Docker resources in one command? - Difference between ADD and COPY 🔹 Kubernetes - Explain K8s architecture - Role of Kubelet, Kube-apiserver, Kube-proxy in EKS - StatefulSet vs Deployment – when to use each? - Troubleshooting 503 errors from LoadBalancer - Case 1: Pod not accessible internally - Case 2: Pod internally accessible but LB fails - How do you securely manage secrets & certificates in EKS. - How do you restrict communication between two Pods in the same namespace? - StatefulSet Pods connecting to same volume – what’s wrong? - How to fix OOMKilled Pods? - Liveness, Readiness, Startup probes - How do you safely update cluster version? - What if master node & worker node firewall breaks? - Centralized logging & monitoring for audit trails (which stack did you use?) 📱 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐨𝐧 𝐆𝐢𝐭𝐇𝐮𝐛 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 : https://github.com/NotHarshhaa 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⭐ AWS Interview Questions for DevOps Learner's !! ⭐ This set is particularly useful for those with 0–2 years of experience in DevOps. 1. Tell me about yourself. 2. Can you Explain Lambda ? 3. What is Auto scaling groups ? 4. What are the different storage classes in S3? 5. How does S3 ensure data durability? 6. Difference between IAM role and user. 7. What is VPC and what are the components of VPC 8. Difference between Public and Private Subnet. 9. How would you design a highly available web-app in AWS ? 10. You need to migrate a large On premises database to AWS. What should you do ? 11. EC2 instances cannot connect to the internet. What could be the reason? 12. Explain Horizontal and Vertical Scaling. 13. How do you secure data at-rest and in-transit in AWS? 14. Can you Explain about Cloud Formation? 15. Can you Explain Secret manager in AWS? 16. How can you implement MFA in AWS? 17. How does S3 Encryption work? 18. Explain VPC - Peering. 19. Can you explain the Logic Volume Manager(LVM) in Linux? 20. Explain Grep command in Linux? 21. Explain Network Commands in Linux? 22. How do you manage System Services in Linux ? 23. Explain Disk usage in Linux? 24. In AWS, if the storage is full, How will you extend the storage? 25. In the AWS EC2 instance, i need to increase the size 8GB to 16 GB. How would you do that ? 26. Explain Replica set in Kubernetes? 27. Explain Etcd in Kubernetes? 28. How does Kubernetes handle networking? 29. How do you monitor Kubernetes Cluster ? 30. What is Daemon set in Kubernetes? 31. Difference between Daemon set and statefulset? 32. How do you troubleshoot pod in Kubernetes? 📱 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐨𝐧 𝐆𝐢𝐭𝐇𝐮𝐛 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 : https://github.com/NotHarshhaa 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 From Docker to Kubernetes [v2.1.0] Release 🔥 Big new drop! We've added advanced topics and real-world strategies across Docker & Kubernetes—take your skills to the next level! 👨‍💻⚙️ 🐳 Docker Section – Expanded! ➕ Added Docker GPU Acceleration Framework for high-performance computing with multi-vendor support for NVIDIA, AMD, and Intel GPUs ➕ Added Docker Content Trust 2.0 for next-generation supply chain security with Notary v2 integration and hardware security module support ☸️ Kubernetes Section – Leveled Up! ➕ Added Kubernetes Topology Aware Routing for advanced traffic management using zone-aware routing strategies and multi-region failover configurations ➕ Added Kubernetes AI/ML Platform Integration for end-to-end framework for deploying and managing AI/ML workloads with distributed training orchestration 📌 Dive in now & level up your DevOps journey! ➗ dockertokubernetes.live ✉️ Read more about v2.1.0: https://www.dockertokubernetes.live/blog/v2-1 📱 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐨𝐧 𝐆𝐢𝐭𝐇𝐮𝐛 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 : https://github.com/NotHarshhaa 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 Load Balancer vs. Ingress Controller in Kubernetes – What’s the Difference? When exposing applications in Kubernetes, should you use a Load Balancer or an Ingress Controller? 🔀 Both handle traffic, but choosing the right one impacts scalability, cost, and security! 🔀 Load Balancer (L4 - Network Layer) A Load Balancer distributes external traffic to Kubernetes services at the network layer (L4 – TCP/UDP). Cloud providers (AWS, Azure, GCP) provision external load balancers when a Service type is set to LoadBalancer. When to Use a Load Balancer? ✔️ When you need to expose a single service directly to the internet. ✔️ For external traffic distribution with minimal setup. ✔️ If you need low-latency load balancing at the network level. Benefit 👇 ✔️ Simple to configure – define a Service as LoadBalancer. ✔️ Efficient traffic routing at Layer 4 (TCP/UDP). ✔️ Cloud-managed (AWS ELB, Azure LB, GCP LB). 🔀 Ingress Controller (L7 - Application Layer) An Ingress Controller manages HTTP(S) traffic at the application layer (L7), routing requests based on hostnames, paths, and SSL/TLS termination. It exposes multiple services via a single entry point using an Ingress resource. When to Use an Ingress Controller? ✔️ When you need to expose multiple services under a single external IP. ✔️ For host/path-based routing (e.g., api.example.com → Service A, web.example.com → Service B). ✔️ If you need TLS termination, rate limiting, and authentication. Benefit 👇 ✔️ Consolidates traffic through one IP → Cost-effective. ✔️ Supports advanced routing (host, path, and header-based). ✔️ TLS termination & security features (authentication, rate-limiting). 🖥 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐨𝐧 𝐆𝐢𝐭𝐇𝐮𝐛 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 : https://github.com/NotHarshhaa 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

As a DevOps engineer, mastering the Linux 🐧 command line is crucial for efficient system administration and management. Here are some essential Linux commands you should know: 1️⃣. File and Directory Management: ls: List directory contents. cd: Change directory. pwd: Print working directory. mkdir: Create a new directory. rm: Remove files or directories. cp: Copy files or directories. mv: Move or rename files or directories. 2️⃣. User and Permission Management: useradd: Add a new user. passwd: Set or change user passwords. chown: Change file ownership. chmod: Modify file permissions. su: Switch user. sudo: Execute commands with superuser privileges. 3️⃣. Process and Service Management: ps: Display running processes. top: Monitor system processes. kill: Terminate processes. systemctl: Manage system services (systemd-based systems). service: Manage services (init-based systems). 4️⃣. Networking and System Monitoring: ifconfig or ip: Configure network interfaces. netstat: Display network statistics. ping: Test network connectivity. df: Show disk space usage. free: Display memory usage. uptime: Show system uptime.

Remember that this is just a starting point, and there are many more Linux commands and utilities. Feel free to explore and deepen your knowledge as you work with Linux in your DevOps journey! 🐧 🚀

➡️Reference links: [1] [2] [3] [4] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ API Gateway and Load Balancer 💡 API Gateway and Load Balancer are two distinct architectural components often used in modern web applications, particularly in microservices architectures. They serve different purposes but can work together to enhance application performance, scalability, and reliability. ▶️ API Gateway: 🔦 An API Gateway is a server that acts as an entry point for clients to access backend services or microservices. It provides a single interface through which all API requests are routed, allowing for various functionalities, including: ⚡️Request Routing: Directs incoming API requests to the appropriate microservice based on the request path or other criteria. ⚡️Protocol Translation: Converts requests from one protocol to another (e.g., from HTTP to WebSocket). ⚡️Authentication and Authorization: Enforces security policies by validating user identities and authorizing access to certain services. ⚡️Rate Limiting and Throttling: Controls the number of requests a client can make in a given time frame to protect backend services from being overwhelmed. ⚡️Caching: Stores responses to reduce the load on backend services and improve latency for frequently requested data. ⚡️Monitoring and Logging: Gathers metrics and logs requests for analysis, helping in debugging and performance optimization. ⚡️Response Transformation: Modifies the response before sending it back to the client, which can include formatting or aggregating data. ▶️ Load Balancer: 🔦 A Load Balancer is a device or software that distributes incoming network traffic across multiple servers to ensure no single server becomes overwhelmed. Its main purposes include: ⚡️Traffic Distribution: Balances the load among multiple servers to optimize resource use, maximize throughput, minimize response time, and avoid overload on any single server. ⚡️High Availability: Ensures that applications remain available even if one or more servers fail by rerouting traffic to healthy instances. ⚡️Health Monitoring: Regularly checks the health of backend servers to ensure they can handle requests. If a server becomes unhealthy, traffic is rerouted to other active servers. ⚡️SSL Termination: Offloads SSL decryption/encryption from the backend servers, thus improving their performance. ⚡️Session Persistence: Maintains the state of a user session by directing subsequent requests from the same client to the same server. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐁𝐚𝐬𝐡 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: 𝐀 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥 𝐢𝐧 𝐃𝐞𝐯𝐎𝐩𝐬 🚀 In the world of DevOps, automation is the name of the game! Whether it’s configuring servers, managing deployments, or orchestrating processes, Bash scripting is an essential tool that every DevOps engineer should master. ⚙️ Why Bash Scripting Matters: ➡️ Efficiently automate routine tasks and reduce human error. ➡️ Seamlessly integrate with CI/CD pipelines. ➡️ Manage and manipulate data with ease. ➡️ Enhance server administration through powerful scripts. The image below provides a concise breakdown of Bash scripting fundamentals, including: - Variables, User Input, and Conditionals - Loops and Functions - Command Line Arguments and Redirections - File Operations and Signal Handling 💡 Pro Tip: Start small! Automate a repetitive task today and build up your skills over time. Bash may look simple, but mastering it can significantly enhance your productivity and effectiveness as a DevOps engineer. 🖥 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐨𝐧 𝐆𝐢𝐭𝐇𝐮𝐛 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 : https://github.com/NotHarshhaa 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 𝗖𝗜𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗶𝗻 𝗔𝘇𝘂𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 🚀 Here we understand the flow of Azure DevOps CI/CD for deploying to Azure Kubernetes Service. 𝟭. 𝗣𝗥 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗣𝘂𝗹𝗹 𝗥𝗲𝗾𝘂𝗲𝘀𝘁) 🛠️ Fast quality checks: linting, building, and unit testing the code. 😀 Failed checks prevent PR merge. ✅ Successful run results in PR merge. 𝟮. 𝗖𝗜 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻) 🔄 Runs tasks from PR pipeline + integration tests. 🔒 Accesses secrets from Azure Key Vault. 📦 Creates & publishes container image in non-production Azure Container Repository. 𝟯. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗧𝗿𝗶𝗴𝗴𝗲𝗿𝗲𝗱 🚀 Completion of CI pipeline triggers CD pipeline. 𝟰. 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 📝 Deploys YAML template to staging AKS environment. ✅ Performs acceptance tests on the staging environment. ⚙️ Manual validation task (optional). 𝟱. 𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 - 𝗠𝗮𝗻𝘂𝗮𝗹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 👤 Manual validation step to validate deployment. 🎙 Manual intervention resumes the pipeline. 𝟲. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 🚀 Promotes image to production Azure Container Registry. 🚢 Deploys YAML template to production AKS environment. 𝟳. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 & 𝗔𝘇𝘂𝗿𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 📊 Container Insights forwards performance metrics to Azure Monitor. 📈 Azure Monitor collects observability data - logs, metrics, health, and performance. 𝟴. 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 📦 Container Registry: Stores private container images. 🛠️ AKS: Managed Kubernetes service by Azure. 🔒 Azure Key Vault: Manages secrets for pipelines. 🔍 Defender for DevOps: Performs static analysis, enhances security visibility across AKS pipelines. The workflow integrates various stages ensuring code quality, testing, and secure deployments across non-production and production environments in Azure DevOps. Container Insights, Azure Monitor, and Defender for DevOps enhance monitoring, observability, and security within the CI/CD pipeline. ❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs