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

❤️‍🔥 A basic overview of deploying applications on Kubernetes. ❤️‍🔥 Here's the step-by-step explanation for the deployment process of applications on Kubernetes: ➡️ Write Application Code: This is the initial step where developers write the application code. This could be in any programming language or framework based on the application requirements. ➡️ Version Control with Git: ‣ Once the application code is written, it is committed to a version control system. ‣ Git is a popular distributed version control system that tracks changes in source code during software development. ‣ Developers use Git to collaborate, track changes, and maintain a history of code revisions. ➡️Containerize Application with Docker: ‣ The application is then packaged into a container using Docker. ‣ Docker allows you to package an application with all its dependencies into a standardized unit for software development. ‣ This ensures that the application runs consistently across different environments. ➡️ Push to Container Registry with Artifactory: ‣ Once the application is containerized, the Docker image is pushed to a container registry. ‣ Artifactory is a binary repository manager, which can be used to host Docker images among other binaries. ‣ The container registry stores Docker images and allows them to be pulled when needed for deployment. ➡️ Create Deployment Configuration with Kubernetes YAML: ‣ A Kubernetes Deployment configuration is created using YAML (Yet Another Markup Language). ‣ This configuration defines how the application should run inside the Kubernetes cluster, including the desired state, replicas, and other specifications. ➡️ Deploy to Kubernetes Cluster with Kubectl: ‣ The Kubernetes Deployment configuration is applied to the Kubernetes cluster using kubectl, the Kubernetes command-line tool. ‣ This initiates the deployment process, and Kubernetes ensures that the desired state defined in the configuration is achieved within the cluster. ➡️ Service Exposes App Inside Cluster: ‣ A Kubernetes Service is created to expose the application internally within the Kubernetes cluster. ‣ This allows other services or applications within the cluster to communicate with the deployed application. ➡️ Expose App to External Users with Ingress Controller: ‣ To make the application accessible to external users, an Ingress resource is defined. ‣ The Ingress Controller manages the Ingress resources and ensures that external traffic is routed to the appropriate services within the cluster. ❤️ Follow for more: @prodevopsguy

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▶️ Bloated vs. Optimized Docker 🐬 Image Let’s talk Docker images – nobody likes them big and slow, right? I had an image that was 879MB (way too big!), and I got it down to 150MB. Here’s how I did it: [🔢] Multi-Stage Builds – Think of this like packing only what you need. You build everything in one stage, then copy over just the essentials to the final image. This keeps things simple and small. [🔢] Use Slim Base Images – I switched to node:14-slim, which has everything you need to run the app but without the extra stuff. It made a big difference. [🔢] Clean Up as You Go – I removed any files or packages I didn’t need after installing. Less clutter = smaller image! [🔢] Skip Dev Dependencies – For production, you only need what’s required to run the app, not to build it. So, I left out the development tools. [🔢] Try Alpine Images – If you’re looking to save even more, Alpine images are tiny. They need a bit more setup, but they’re worth it if you want to go super light.

Making Docker images smaller isn’t hard, and it’s worth it.

Faster builds, quicker deployments, and less storage needed. Give it a try!

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

⏩ Node failures can hurt a Kubernetes cluster very badly. And here's a simple hack that can help. 🟢There's a tool called "Node Problem Detector" that monitors the health of nodes in a K8s cluster. It runs on each node, if a problem is detected it can report to apiserver. Here are some issues it can detect: 🔴Physical hardware issues - Overheating CPU - Memory errors - Failing disks - Kernel issues. Try it out. Positive approach powers progress. ❤️ 🌐𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 DevOps Project - 31 🚀 🔗 Project Link: HERE ⏩ Building Scalable, Secure, and High-Performance Web Applications with AWS 3-Tier Architecture! 📈 In this project, I dive into setting up a robust 3-tier architecture on AWS designed to boost scalability, ensure high security, and optimize performance for modern web applications. 🛠 Project Highlights: ➡️ AWS VPC, Subnets, Security Groups for enhanced security ➡️ Auto Scaling and Load Balancing for scalability ➡️ Optimized performance with caching and database optimizations ❤️‍🔥 Share with friends and learning aspirants ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.

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

100 Terms & Services which every DevOps ♾ Engineer should be aware of: 1. Continuous Integration (CI): Automates code integration. 2. Continuous Deployment (CD): Automated code deployment. 3. Version Control System (VCS): Manages code versions. 4. Git: Distributed version control. 5. Jenkins: Automation server for CI/CD. 6. Build Automation: Automates code compilation. 7. Artifact: Build output package. 8. Maven: Build and project management. 9. Gradle: Build automation tool. 10. Containerization: Application packaging and isolation. 11. Docker: Containerization platform. 12. Kubernetes: Container orchestration. 13. Orchestration: Automated coordination of components. 14. Microservices: Architectural design approach. 15. Infrastructure as Code (IaC): Manage infrastructure programmatically. 16. Terraform: IaC provisioning tool. 17. Ansible: IaC automation tool. 18. Chef: IaC automation tool. 19. Puppet: IaC automation tool. 20. Configuration Management: Automates infrastructure configurations. 21. Monitoring: Observing system behavior. 22. Alerting: Notifies on issues. 23. Logging: Recording system events. 24. ELK Stack: Log management tools. 25. Prometheus: Monitoring and alerting toolkit. 26. Grafana: Visualization platform. 27. Application Performance Monitoring (APM): Monitors app performance. 28. Load Balancing: Distributes traffic evenly. 29. Reverse Proxy: Forwards client requests. 30. NGINX: Web server and reverse proxy. 31. Apache: Web server and reverse proxy. 32. Serverless Architecture: Code execution without servers. 33. AWS Lambda: Serverless compute service. 34. Azure Functions: Serverless compute service. 35. Google Cloud Functions: Serverless compute service. 36. Infrastructure Orchestration: Automates infrastructure deployment. 37. AWS CloudFormation: IaC for AWS. 38. Azure Resource Manager (ARM): IaC for Azure. 39. Google Cloud Deployment Manager: IaC for GCP. 40. Continuous Testing: Automated testing at all stages. 41. Unit Testing: Tests individual components. 42. Integration Testing: Tests component interactions. 43. System Testing: Tests entire system. 44. Performance Testing: Evaluates system speed. 45. Security Testing: Identifies vulnerabilities. 46. DevSecOps: Integrates security in DevOps. 47. Code Review: Inspection for quality. 48. Static Code Analysis: Examines code without execution. 49. Dynamic Code Analysis: Analyzes running code. 50. Dependency Management: Handles code dependencies. 51. Artifact Repository: Stores and manages artifacts. 52. Nexus: Repository manager. 53. JFrog Artifactory: Repository manager. 54. Continuous Monitoring: Real-time system observation. 55. Incident Response: Manages system incidents. 56. Site Reliability Engineering (SRE): Ensures system reliability. 57. Collaboration Tools: Facilitates team communication. 58. Slack: Team messaging platform. 59. Microsoft Teams: Collaboration platform. 60. ChatOps: Collaborative development through chat. ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

In real-world projects, Jenkins pipelines play a crucial role in automating software delivery. Here are the two main types of Jenkins pipelines: 🔢. Scripted Pipeline: ➡️Description: Scripted pipelines are more traditional and allow developers to have fine-grained control over the build process. They are coded as Jenkinsfiles using Groovy, which requires some programming knowledge. ➡️Syntax Example:

node {
    stage('Build') {
        // Perform build steps
    }
    stage('Test') {
        // Execute tests
    }
    stage('Deploy') {
        // Deploy artifacts
    }
}

➡️Pros: - Greater flexibility for custom logic. - Full control over each stage. - Ideal for complex workflows. ➡️Cons: - Requires Groovy programming skills. - Less declarative. 🔢. Declarative Pipeline: ➡️Description: Declarative pipelines use a YAML-based syntax to define the build process. They are easier to work with and do not require knowledge of Groovy code. Jenkins can automatically validate the syntax of a declarative pipeline. ➡️Syntax Example:

pipeline {
    agent any
    stages {
        stage('Build') {
            steps {
                // Build steps
            }
        }
        stage('Test') {
            steps {
                // Testing tasks
            }
        }
        stage('Deploy') {
            steps {
                // Deployment actions
            }
        }
    }
}

➡️Pros: - Simpler syntax. - Automatic syntax validation. - Ideal for straightforward workflows. ➡️Cons: - Less flexible than scripted pipelines. Choose the pipeline type that best suits your project's needs. Whether you prefer fine-grained control or a more declarative approach, Jenkins pipelines empower you to automate your software delivery process! 🚀🔧 ➡️References: 1. Jenkins Pipeline: Examples, Usage, and Best Practices [1] 2. Jenkins Freestyle vs Pipeline: Which One Should You Use? [2] ➡️Reference links: [1] [2] [3] [4] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ List of all 🐬 Docker commands for DevOps Engineer, along with their usage: ⚡️Container Commands: 1. docker create [OPTIONS] IMAGE [COMMAND] [ARG...] - Create a new container from an image. 2. docker run [OPTIONS] IMAGE [COMMAND] [ARG...] - Run a command in a new container. 3. docker start [OPTIONS] CONTAINER [CONTAINER...] - Start one or more stopped containers. 4. docker stop [OPTIONS] CONTAINER [CONTAINER...] - Stop one or more running containers. 5. docker restart [OPTIONS] CONTAINER [CONTAINER...] - Restart one or more containers. 6. docker rm [OPTIONS] CONTAINER [CONTAINER...] - Remove one or more containers. 7. docker kill [OPTIONS] CONTAINER [CONTAINER...] - Kill one or more running containers. ⚡️Image Commands: 1. docker images [OPTIONS] [REPOSITORY[:TAG]] - List images. 2. docker pull [OPTIONS] NAME[:TAG|@DIGEST] - Pull an image or a repository from a registry. 3. docker push [OPTIONS] NAME[:TAG] - Push an image or a repository to a registry. 4. docker rmi [OPTIONS] IMAGE [IMAGE...] - Remove one or more images. 5. docker tag [OPTIONS] IMAGE REF - Create a tag TARGET_IMAGE that refers to SOURCE_IMAGE. 6. docker build [OPTIONS] PATH | URL | - - Build an image from a Dockerfile. 7. docker history [OPTIONS] IMAGE - Show the history of an image. ⚡️Volume Commands: 1. docker volume create [OPTIONS] [VOLUME] - Create a volume. 2. docker volume inspect [OPTIONS] VOLUME [VOLUME...] - Display detailed information on one or more volumes. 3. docker volume ls [OPTIONS] [FILTER] - List volumes. 4. docker volume rm [OPTIONS] VOLUME [VOLUME...] - Remove one or more volumes. 5. docker volume prune [OPTIONS] - Remove all unused local volumes. ⚡️Network Commands: 1. docker network create [OPTIONS] NETWORK - Create a network. 2. docker network connect [OPTIONS] NETWORK CONTAINER - Connect a container to a network. 3. docker network disconnect [OPTIONS] NETWORK CONTAINER - Disconnect a container from a network. 4. docker network inspect [OPTIONS] NETWORK [NETWORK...] - Display detailed information on one or more networks. 5. docker network ls [OPTIONS] [FILTER] - List networks. 6. docker network rm [OPTIONS] NETWORK [NETWORK...] - Remove one or more networks. ⚡️System Commands: 1. docker info [OPTIONS] - Display system-wide information. 2. docker version [OPTIONS] - Show the Docker version information. 3. docker system prune [OPTIONS] - Remove unused data. ⚡️Security Commands: 1. docker login [OPTIONS] [SERVER] - Log in to a Docker registry. 2. docker logout [OPTIONS] [SERVER] - Log out from a Docker registry. ⚡️Experimental Commands: 1. docker manifest [OPTIONS] COMMAND [ARG...] - Work with Docker image manifests. 2. docker swarm [OPTIONS] COMMAND [ARG...] - Work with Docker Swarm. 3. docker service [OPTIONS] COMMAND [ARG...] - Work with Docker services. ⚡️Other Commands: 1. docker exec [OPTIONS] CONTAINER COMMAND [ARG...] - Run a command in a running container. 2. docker logs [OPTIONS] CONTAINER - Fetch the logs of a container. 3. docker port [OPTIONS] CONTAINER PRIVATE_PORT - List port mappings or a specific mapping for the container. 4. docker top [OPTIONS] CONTAINER - Display the running processes of a container. 5. docker unpause [OPTIONS] CONTAINER [CONTAINER...] - Unpause all processes in one or more containers. 6. docker update [OPTIONS] CONTAINER [CONTAINER...] - Update configuration of one or more containers. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ List of 📱 Git commands for DevOps Engineer, along with their usage: ⚡️Basic Git Commands: 1. git init - Initialize a new Git repository. 2. git clone <repository> - Clone an existing Git repository. 3. git config --global user.name "<Your Name>" - Set your username for Git. 4. git config --global user.email "<your_email@example.com>" - Set your email address for Git. 5. git status - Check the status of your repository. 6. git add <file> - Stage a file for the next commit. 7. git add . - Stage all changes in the current directory and subdirectories. 8. git commit -m "<commit_message>" - Commit changes with a meaningful commit message. 9. git log - Display a log of all commits made to the repository. 10. git branch - List all branches in the repository. 11. git checkout <branch> - Switch to a different branch. 12. git merge <branch> - Merge changes from another branch into the current branch. ⚡️Git Branching Commands: 1. git branch <new_branch> - Create a new branch. 2. git branch -d <branch> - Delete a branch. 3. git branch -m <old_branch> <new_branch> - Rename a branch. 4. git checkout -b <new_branch> - Create a new branch and switch to it. ⚡️Git Remote Commands: 1. git remote add <name> <url> - Add a remote repository. 2. git remote remove <name> - Remove a remote repository. 3. git remote rename <old_name> <new_name> - Rename a remote repository. 4. git fetch <remote> - Fetch changes from a remote repository. 5. git push <remote> <branch> - Push changes to a remote repository. 6. git pull <remote> <branch> - Pull changes from a remote repository. ⚡️Git Merge and Conflict Resolution Commands: 1. git merge <branch> - Merge changes from another branch into the current branch. 2. git merge --abort - Abort a merge operation. 3. git merge --continue - Continue a merge operation after resolving conflicts. 4. git status - Check the status of your repository during a merge operation. ⚡️Git Tagging Commands: 1. git tag <tag_name> - Create a lightweight tag. 2. git tag -a <tag_name> -m "<tag_message>" - Create an annotated tag. 3. git tag -d <tag_name> - Delete a tag. 4. git tag -l - List all tags in the repository. ⚡️Git Reset and Revert Commands: 1. git reset <commit> - Reset your repository to a specific commit. 2. git reset --hard <commit> - Reset your repository to a specific commit and discard all changes. 3. git revert <commit> - Revert changes made by a specific commit. 4. git revert --no-commit <commit> - Revert changes made by a specific commit without committing the changes. ⚡️Git Stash Commands: 1. git stash - Stash changes in your repository. 2. git stash list - List all stashed changes. 3. git stash apply - Apply stashed changes to your repository. 4. git stash drop - Delete a stashed change. 5. git stash pop - Apply and delete a stashed change. ⚡️Git Submodule Commands: 1. git submodule add <repository> - Add a submodule to your repository. 2. git submodule init - Initialize a submodule. 3. git submodule update - Update a submodule. 4. git submodule status - Check the status of a submodule. 5. git submodule summary - Summarize changes made to a submodule. ⚡️Git Cherry-Pick Commands: 1. git cherry-pick <commit> - Apply changes made by a specific commit to your current branch. 2. git cherry-pick --abort - Abort a cherry-pick operation. 3. git cherry-pick --continue - Continue a cherry-pick operation after resolving conflicts. ⚡️Git Rebase Commands: 1. git rebase <branch> - Rebase your current branch onto another branch. 2. git rebase --abort - Abort a rebase operation. 3. git rebase --continue - Continue a rebase operation after resolving conflicts. 4. git rebase -i <commit> - Interactively rebase changes made since a specific commit. ⚡️Git Diff Commands: 1. git diff - Display differences between your working directory and the staging area. 2. git diff --cached - Display differences between the staging area and the last commit. 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📢 DevOps Project-21: Advanced AWS DevOps ♾ CICD Pipeline Project 🔗 Project Link: HERE 🔄 Project Overview :-

In This Project, we are Developing and Deploying a video streaming application on EC2 using Docker and AWS Developers Tools.

➡️CodeCommit: For Source Code Management ➡️CodeBuild: For building and testing our code in a serverless fashion ➡️CodeDeploy: To deploy our code ➡️CodePipeline: To streamline the CI/CD pipeline ➡️System Manager: To store Parameters ➡️DockerHub: To store Docker Images in a Repository ➡️Identity and Access Management (IAM) for creating a Service Role ➡️S3 for artifact storing ➡️EC2 for Deployment ❤️‍🔥 Share with friends and colleagues ❤️‍🔥

📣 Note: Fork this Repository 🧑‍💻 for upcoming future projects, Every week releases new Project.

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

🚨 Terraform important commands and concepts 1. terraform init: Initializes a Terraform working directory. 2. terraform validate: Validates the Terraform configuration files. 3. terraform fmt: Formats the Terraform configuration files. ▶️ Section 2: Infrastructure Management 4. terraform apply: Applies the configuration to create or update infrastructure. 5. terraform destroy: Destroys the infrastructure managed by Terraform. 6. terraform refresh: Refreshes the Terraform state to match the actual infrastructure. 7. terraform show: Shows the Terraform state and configuration. ▶️ Section 3: State Management 8. terraform state list: Lists the resources in the Terraform state. 9. terraform state show: Shows the details of a specific resource in the Terraform state. 10. terraform state rm: Removes a resource from the Terraform state. 11. terraform state mv: Moves a resource from one state to another. ▶️ Section 4: Module Management 12. terraform get: Downloads and installs Terraform modules. 13. terraform module: Manages Terraform modules. 14. terraform module init: Initializes a Terraform module. ▶️ Section 5: Provider Management 15. terraform providers: Lists the available Terraform providers. 16. terraform provider: Manages Terraform providers. 17. terraform provider init: Initializes a Terraform provider. ▶️ Section 6: Workspace Management 18. terraform workspace: Manages Terraform workspaces. 19. terraform workspace new: Creates a new Terraform workspace. 20. terraform workspace select: Selects a Terraform workspace. ▶️ Section 7: Debugging and Troubleshooting 21. terraform debug: Enables debug logging for Terraform. 22. terraform logs: Shows the Terraform logs. 23. terraform console: Opens a Terraform console for interactive debugging. ▶️ Section 8: Import and Export 24. terraform import: Imports existing infrastructure into Terraform. 25. terraform export: Exports the Terraform state to a file. ▶️ Section 9: Miscellaneous 26. terraform version: Shows the Terraform version. 27. terraform help: Shows the Terraform help. 28. terraform upgrade: Upgrades Terraform to the latest version. ▶️ Section 10: Advanced Topics 29. terraform console: Opens a Terraform console for interactive debugging. 30. terraform graph: Generates a graph of the Terraform configuration. 31. terraform output: Shows the output of a Terraform configuration. ▶️ Section 11: Terraform CLI 32. terraform cli: Manages the Terraform CLI. 33. terraform cli config: Configures the Terraform CLI. ▶️ Section 12: Terraform Configuration 34. terraform config: Manages the Terraform configuration. 35. terraform config init: Initializes a Terraform configuration. ▶️ Section 13: Terraform State Backend 36. terraform state backend: Manages the Terraform state backend. 37. terraform state backend init: Initializes a Terraform state backend. ▶️ Section 14: Terraform Workspaces 38. terraform workspace: Manages Terraform workspaces. 39. terraform workspace new: Creates a new Terraform workspace. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🌟 25 Essential DevOps Real-Time Interview Questions 🌟 Are you gearing up for a DevOps interview? Here are 25 critical questions that will help you shine! 💼💻 1.What is CI/CD and why is it important? 2. Explain the difference between Docker and Kubernetes. 3. How do you ensure high availability in a cloud environment? 4. What are the different stages in a DevOps pipeline? 5. How do you monitor and troubleshoot application performance? 6. Describe a situation where you had to resolve a production issue. 7. What are some best practices for infrastructure as code (IaC)? 8. How do you handle security in a DevOps workflow? 9. What tools do you use for configuration management and why? 10. Explain the concept of blue-green deployment. 11. How does container orchestration work? 12. What is the role of a reverse proxy in a DevOps environment? 13. How do you implement logging and monitoring for microservices? 14. What is a service mesh and why is it useful? 15. Can you explain the concept of immutable infrastructure? 16. How do you manage secrets and sensitive data in your deployments? 17. What are the key metrics you monitor in a DevOps environment? 18. How do you handle load balancing and scaling in Kubernetes? 19. What is a canary deployment and how is it different from blue-green deployment? 20. How do you ensure disaster recovery and backup in cloud infrastructure? 21. What are the common challenges in a DevOps transformation? 22. Explain the use of Ansible/Puppet/Chef in DevOps. 23. How do you integrate security practices into your CI/CD pipeline? 24. What is the significance of automated testing in DevOps? 25. How do you manage and optimize costs in a cloud environment? 💡 Tip: Be ready to discuss real-world scenarios and your hands-on experience with various DevOps tools and practices. Good luck! 🍀 📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

▶️ 10 hands-on projects to gain practical experience with core AWS services and architectural best practices 1. Create a Static Website Using Amazon S3 🔗https://lnkd.in/ggz9MBGD 2. Launch and Configure an EC2 Instance 🔗https://lnkd.in/g5dxUwsW 3. Set Up an Application Load Balancer 🔗https://lnkd.in/grzxzCds 4. Implement Auto Scaling 🔗https://lnkd.in/gi9KS-2N 5. Create a VPC with Public and Private Subnets 🔗https://lnkd.in/gMzSY9VE 6. Set Up an Amazon RDS Database 🔗https://lnkd.in/gnAd-pN9 7. Implement an S3 Lifecycle Policy 🔗https://lnkd.in/ghQpFTcp 8. Set Up CloudFront Distribution 🔗https://lnkd.in/gxv6p27R 9. Implement IAM Roles and Policies 🔗https://lnkd.in/gY8dZMbi 10. Set Up a Simple Serverless Application 🔗https://lnkd.in/ggqBu-Vj

Some resources will incur costs so make sure you manage that and terminate when you conclude your work.

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

🚀 𝟖 𝐒𝐓𝐄𝐏𝐒 𝐓𝐎 𝐁𝐄𝐂𝐎𝐌𝐄 𝐀 𝐃𝐄𝐕𝐎𝐏𝐒 𝐄𝐍𝐆𝐈𝐍𝐄𝐄𝐑 𝐢𝐧 𝟐𝟎𝟐𝟰 🚀 DevOps is a rapidly growing field that combines software development and operations, enabling organizations to deliver high-quality software at a faster pace. So, let's explore the key skills you need to master on your journey to becoming a DevOps Engineer: ✅Step 1 - Learn networking basics ✅Step 2 - Learn Linux ✅Step 3 - Learn Cloud: Cloud platforms like AWS, Azure, and GCP are revolutionizing the IT landscape. ✅Step 4 - Learn Infrastructure as Code (IAC) ✅Step 5 - Learn CI/CD ✅Step 6 - Learn Docker & Kubernetes ✅Step 7 - Learn Monitoring Tools ✅Step 8 - Learn Programming

Remember, becoming a DevOps Engineer is an ongoing journey. Stay curious, keep learning, and embrace new technologies and practices as they emerge. Engage in open-source projects, attend conferences, and connect with fellow professionals to expand your network and stay up-to-date.

🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🚀 Excited to share some insights on Kubernetes architecture! 🌟 Kubernetes has revolutionized the way we deploy and manage containerized applications, but understanding its architecture can sometimes feel like navigating a complex labyrinth. Fear not! I've simplified it into bite-sized pieces for you. 🎉 🔍 Visual Breakdown: Check out the image below for a simplified visualization of Kubernetes architecture. It's like having a map to guide you through the Kubernetes landscape! 🗺 🧩 Key Components: Let's break it down: Nodes: Think of them as the workers and managers in your application orchestra. Pods: Your application's smallest building blocks, neatly packed containers. Services: Gateways to your applications, ensuring seamless communication. Controllers: The brains behind the operation, ensuring everything runs smoothly. etcd: The reliable memory bank, storing all cluster data securely. API Server, Scheduler, Controller Manager: The command center, orchestrating every move. 🔄 Interactions and Flow: Discover how these components interact with each other, forming a well-choreographed dance of scalability and resilience. 🌱 Continuous Learning: Kubernetes is a vast ecosystem, and there's always more to explore! Dive deeper into its intricacies to unlock its full potential. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!