🚀 DevOps Project: Deploy a 3 Tier Architecture On AWS - End to End Project


Project Overview:
⚡️ Tier 1: Presentation Layer
✅ Create a web application using a framework like React, Angular, or Vue.js.
✅ Host the frontend on Amazon S3 or use AWS Amplify for a serverless frontend deployment.

⚡️ Tier 2: Application Layer
✅ Develop a server-side application using a technology like Node.js, Python, or Java.
✅ Deploy the application on AWS Elastic Beanstalk or AWS Lambda for serverless applications.
✅ Use Amazon API Gateway for creating RESTful APIs or AWS App Runner for containerized applications.

⚡️ Tier 3: Data Layer
✅ Choose a database solution like Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL), or Amazon Aurora (MySQL/PostgreSQL).
✅ Configure database security groups and access controls.
✅ Ensure data backup and redundancy as per your application's needs.

Check for full details 👇

📱 Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-01


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

🚀 Big Update to Project! 🚀

We've just rolled out a major update to the project, making it more detailed and user-friendly! Here's what's new:

🔹 Step-by-Step Instructions: Clear and detailed setup commands for AWS CLI, CloudWatch, SSM Agent, Maven, and more!

🔹 Expanded Pre-Requisites: Everything you need to get started, including AWS, GitHub, SonarCloud, and JFrog account setups.

🔹 Comprehensive Guide: From creating Global AMIs to deploying a scalable 3-tier architecture on AWS—every step is covered!

🔹 Maven Build Integration: Detailed instructions for building your Java application and integrating with SonarCloud.

🔹 Enhanced Validation & Monitoring: Added instructions for EC2 access, application validation, and setting up CloudWatch alarms.

Check it out and get your hands dirty with this hands-on DevOps project! 🌐

🔗 View the Updated README

If you find this helpful, don’t forget to ⭐️ the repo!

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

🔥 DevOps Project-19: From Scratch to Production: Deploying EKS Clusters and Applications with CI/CD using Jenkins and Terraform ♾


🔗 Project Link: HERE

🔄 Project Overview :-
- Streamlining EKS Deployment and CI/CD: A Step-by-Step Guide to Automating Application Delivery with Jenkins and Terraform
- In this project, I'll take you through the process of setting up an EKS cluster, deploying an application, and creating a CI/CD pipeline using Jenkins and Terraform.
- By the end of this project, you'll have a fully functional EKS cluster and a simple containerized application up and running, with a CI/CD pipeline that automates the entire process from code to production.


❤️‍🔥 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

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐈𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧𝐬:
- FROM: Sets the base image.
- RUN: Executes commands in the container.
- MAINTAINER: Identifies the image creator.
- LABEL: Adds metadata.
- ADD: Copies files (supports URLs).
- COPY: Copies files (no URLs).
- VOLUME: Creates a shared mount point.
- EXPOSE: Specifies listening port.
- WORKDIR: Sets the working directory.
- USER: Defines the user for processes.
- STOPSIGNAL: Specifies stop signal.
- ENTRYPOINT: Sets the start command.
- CMD: Sets the default command.
- ENV: Sets environment variables.

➡️ 𝐃𝐨𝐜𝐤𝐞𝐫 𝐑𝐮𝐧 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬:
- --name: Names the container.
- -v, --volume: Mounts a volume.
- --network: Connects to a network.
- -d, --detach: Runs in background.
- -i, --interactive: Keeps STDIN open.
- -t, --tty: Allocates a pseudo-TTY.
- --rm: Auto-removes container on exit.
- -e, --env: Sets environment variables.
- --restart: Sets restart policy.

➡️ 𝐂𝐨𝐫𝐞 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬:
- Docker Image: Read-only snapshot of a container.
- Docker Container: Executable package with software and dependencies.
- Docker Client: Tool to interact with Docker.
- Docker Daemon: Service managing Docker objects.
- Docker Registry: Storage for Docker images.


✈️ 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

🌟 A Day in the Life of a DevOps Engineer 🌟


👨‍💻 Ever wondered what a DevOps Engineer does every day?Here’s a glimpse into their daily lifecycle:

1. Morning Standup Meeting:
- Participate in a daily scrum meeting to discuss progress, blockers, and plans for the day.

2. Code Review and Integration:
- Review code changes submitted by developers.
- Ensure seamless integration by merging code into the main branch.

3. CI/CD Pipeline Management:
- Monitor and manage Continuous Integration/Continuous Deployment pipelines.
- Fix any issues that arise in automated build and deployment processes.

4. Infrastructure as Code (IaC):
- Write and update scripts using tools like Terraform or CloudFormation.
- Provision and configure cloud resources programmatically.

5. Container Management:
- Build, test, and deploy Docker containers.
- Manage Kubernetes clusters for container orchestration.

6. Monitoring and Incident Response:
- Use tools like Prometheus and Grafana for system monitoring.
- Respond to alerts and troubleshoot issues to maintain system uptime.

7. Configuration Management:
- Automate configuration tasks with Ansible, Chef, or Puppet.
- Ensure consistency across development, testing, and production environments.

8. Collaboration and Communication:
- Work closely with developers, QA, and operations teams.
- Communicate effectively to resolve issues and implement new features.

9. Continuous Improvement:
- Analyze system performance and identify areas for improvement.
- Implement best practices for security, scalability, and efficiency.

10. Learning and Development:
- Stay updated with the latest tools, technologies, and industry trends.
- Participate in training sessions and attend webinars/conferences.

🔧 Being a DevOps Engineer is dynamic and challenging, requiring a mix of technical skills, problem-solving abilities, and collaboration.


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

➡️Useful Terraform commands along with brief explanations:- ❤️

1. terraform init: Initializes a working directory containing Terraform configuration files.
2. terraform plan: Generates an execution plan, outlining actions Terraform will take.
3. terraform apply: Applies the changes described in the Terraform configuration.
4. terraform destroy: Destroys all resources described in the Terraform configuration.
5. terraform validate: Checks the syntax and validity of Terraform configuration files.
6. terraform refresh: Updates the state file against real resources in the provider.
7. terraform output: Displays the output values from the Terraform state.
8. terraform state list: Lists resources within the Terraform state.
9. terraform show: Displays a human-readable output of the current state or a specific resource's state.
10. terraform import: Imports existing infrastructure into Terraform state.
11. terraform fmt: Rewrites Terraform configuration files to a canonical format.
12. terraform graph: Generates a visual representation of the Terraform dependency graph.
13. terraform providers: Prints a tree of the providers used in the configuration.
14. terraform workspace list: Lists available workspaces.
15. terraform workspace select: Switches to another existing workspace.
16. terraform workspace new: Creates a new workspace.
17. terraform workspace delete: Deletes an existing workspace.
18. terraform output: Retrieves output values from a module.
19. terraform state mv: Moves an item in the state.
20. terraform state pull: Pulls the state from a remote backend.
21. terraform state push: Pushes the state to a remote backend.
22. terraform state rm: Removes items from the state.
23. terraform taint: Manually marks a resource for recreation.
24. terraform untaint: Removes the 'tainted' state from a resource.
25. terraform login: Saves credentials for Terraform Cloud.
26. terraform logout: Removes credentials for Terraform Cloud.
27. terraform force-unlock: Releases a locked state.
28. terraform import: Imports existing infrastructure into your Terraform state.
29. terraform plan -out: Saves the generated plan to a file.
30. terraform apply -auto-approve: Automatically applies changes without requiring approval.
31. terraform apply -target=resource: Applies changes only to a specific resource.
32. terraform destroy -target=resource: Destroys a specific resource.
33. terraform apply -var="key=value": Sets a variable's value directly in the command line.
34. terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions.
35. terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file.


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

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👉 𝐂𝐨𝐧𝐟𝐭𝐞𝐬𝐭 (https://lnkd.in/gfBYcnGM)
✍️ Provides a testing framework for developers to check and verify hashtag#k8s resources to validate against Kubernetes configuration. Users can easily write tests for hashtag#serverless, hashtag#Terraform and other prominent frameworks

👉 𝐊𝐮𝐛𝐞𝐜𝐨𝐧𝐟𝐨𝐫𝐦 (https://lnkd.in/g6fm4vHY)
✍️ Tool that validates manifests using the official hashtag#Kubernetes hashtag#OpenAPI specifications on the server side

👉 𝐊𝐮𝐛𝐞𝐥𝐢𝐧𝐭𝐞𝐫 (https://lnkd.in/gV95CqFh)
✍️ Analyzes Kubernetes YAML files and Helm charts, checks them against a variety of best practices, with a focus on production readiness and security

👉 𝐘𝐚𝐦𝐥𝐥𝐢𝐧𝐭 (https://lnkd.in/g-uqstAc)
✍️ Validate, verify and reformat yaml documents, checking cosmetic problems such as lines length, trailing spaces, indentation

👉 𝐂𝐨𝐩𝐩𝐞𝐫 (https://lnkd.in/ftSQcA4)
✍️ Checks configuration files through custom checks through helper functions written in javascript. Enforces best practices, apply policies and compliance requirements

👉 C𝐨𝐧𝐟𝐢𝐠-𝐥𝐢𝐧𝐭 (https://lnkd.in/gSaCEuWU)
✍️ CLI tool to validate configuration files using rules specified in YAML. The configuration files can be one of several formats: Terraform, JSON, YAML, with support for Kubernetes

👉 𝐊𝐮𝐛𝐞-𝐬𝐜𝐨𝐫𝐞 (https://lnkd.in/gAvzn_WE)
✍️ Tool that performs static code analysis of k8s object definitions. The output is list of recommendations of what you can improve to make the application more secure and resilient

👉 𝐂𝐡𝐚𝐫𝐭-𝐭𝐞𝐬𝐭𝐢𝐧𝐠 (https://lnkd.in/gKM-9bQm)
✍️ Tool for testing Helm charts that is used for linting and testing pull requests. It automatically detects charts changed against the target branch

👉 𝐊𝐥𝐢𝐧𝐭 (https://lnkd.in/gnFsWfkw)
✍️ Listens to changes in Kubernetes resources and runs linting rules against them. Alerts are published via Slack webhooks to a configurable channel

👉 𝐊𝐮𝐛𝐞𝐯𝐢𝐨𝐮𝐬 𝐂𝐋𝐈 (https://lnkd.in/fyqqp9U)
✍️ Standalone tool that validates YAML manifests for syntax, semantics, conflicts, compliance and security best practices violations. Can be easily used during active development and integrated into hashtag#GitOps processes and CI/CD pipelines to validate changes toward live Kubernetes clusters


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

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

📢 Advanced AWS DevOps Project: Dive into a comprehensive guide on setting up an Automated CI/CD Pipeline with Infrastructure as Code, Microservices, Service Mesh, and Monitoring.

🌟 Whether you're an AWS engineer or a DevOps enthusiast, this step-by-step tutorial will equip you with the knowledge to build scalable, secure, and robust cloud-native applications.

🔍 What's Inside:
- Terraform for Infrastructure as Code
- Jenkins CI/CD Pipelines
- Dockerizing Microservices
- Istio for Traffic Management
- Prometheus & Grafana for Monitoring

➡️ Read the full article now: AWS DevOps Project: Advanced Automated CI/CD Pipeline


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

🖥 https://telegra.ph/Docker-Security-Best-Practices-cheat-sheet-included-08-31


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

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

🌐 REPO LINK: https://github.com/NotHarshhaa/kubernetes-projects-learning

𝘼 𝙧𝙚𝙥𝙤 𝙩𝙤 𝙝𝙚𝙡𝙥 𝙮𝙤𝙪 𝙋𝙧𝙖𝙘𝙩𝙞𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙛𝙧𝙤𝙢 𝙩𝙝𝙚 𝙜𝙧𝙤𝙪𝙣𝙙 𝙪𝙥 𝙗𝙮 𝙙𝙤𝙞𝙣𝙜 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙖𝙡 𝙍𝙚𝙖𝙡𝙩𝙞𝙢𝙚 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙖𝙣𝙙 𝙩𝙚𝙖𝙘𝙝 𝙮𝙤𝙪 𝙝𝙤𝙬 𝙩𝙤 𝙪𝙨𝙚 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙩𝙤 𝙙𝙚𝙥𝙡𝙤𝙮, 𝙢𝙖𝙣𝙖𝙜𝙚, 𝙖𝙣𝙙 𝙨𝙘𝙖𝙡𝙚 𝙘𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙞𝙯𝙚𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨.

🌐 FORK THE REPO GUYS, SHARE WITH OTHERS 🙂

❤️ Follow for more: @prodevopsguy // Join for DevOps DOCs: @devopsdocs

🤔 Learn Kubernetes from scratch (Beginner to Advanced level) 2024 🤔

🔗 Link: https://github.com/NotHarshhaa/kubernetes-learning-path

🪑 NOTE: The Kubernetes Learning Roadmap is constantly updated with new content.

⏩ Table of Contents ⏪
1. Kubernetes Learning Roadmap
2. Kubernetes Certification Coupon
3. Kubernetes Learning Prerequisites
4. Learn Kubernetes Architecture
5. $1000+ Free Cloud Credits to Launch Clusters
6. Learn Kubernetes Cluster Setup & Administration
7. Understand KubeConfig File
8. Understand Kubernetes Objects And Resources
9. Learn About Pod & Associated Resources
10. Learn About Pod Dependent Objects
11. Deploy End to End Application on Kubernetes
12. Learn About Securing Kubernetes Cluster
13. Learn About Kubernetes Operator Pattern
14. Learn Important Kubernetes Configurations
15. Learn Kubernetes Best Practices
16. Real-World Kubernetes Case Studies
17. Kubernetes Failures/Learnings
18. Kubernetes Deployment Tools (GitOps Based)


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

🛠 Essential AWS CLI Commands for DevOps Engineers 🛠


📌 Setup and Configuration:

# Install AWS CLI
pip install awscli

# Configure AWS CLI
aws configure

📌 IAM:

# List IAM users
aws iam list-users

# Create IAM user
aws iam create-user --user-name <username>

# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name>

📌 EC2:

# List all EC2 instances
aws ec2 describe-instances

# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>

# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id>

📌 S3:

# List all S3 buckets
aws s3 ls

# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>

# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path>

📌 RDS:

# List RDS instances
aws rds describe-db-instances

# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>

# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id>

📌 CloudWatch:

# List CloudWatch log groups
aws logs describe-log-groups

# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>

📌 Elastic Beanstalk:

# List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments

# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label>

📌 CloudFormation:

# List CloudFormation stacks
aws cloudformation describe-stacks

# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>

# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>

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

1️⃣. Tutorials

✅ Terraform Course – Automate your AWS cloud infrastructure

https://lnkd.in/dvpzNT5M

✅ HashiCorp Terraform Associate Certification Course by Andrew Brown

https://lnkd.in/dn5m2NKQ

✅ Terraform for DevOps Beginners + Labs by KodeKloud

https://lnkd.in/d8nkTj3n

✅ Terraform Foundations Course by Derek Morgan

https://lnkd.in/dWYByZjH

✅ HashiCorp Terraform Associate certification exam

https://lnkd.in/dhV35bJG

✅ Learn Terraform (and AWS) by Building a Dev Environment - Full Course for Beginners

https://lnkd.in/dA44F__P

✅ Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)

https://lnkd.in/dRs3YFu3

✅ Azure Terraform Full Course I Microsoft
Azure Terraform Course

https://lnkd.in/dM-h-R8y


2️⃣. Labs

✅ Lab 1.Terraform Introduction | Terraform Tutorial for Beginners | Terraform for DevOps Engineer

https://lnkd.in/dCpQyKNz

✅ Lab 2. How to Use Visual Studio code for Terraform | Creating EC2 Instance using Terraform

https://lnkd.in/dvMC5a2J

✅ Lab 3. [Scenario-1]: How to Create VPC using Terraform | AWS VPC using Terraform | AWS Terraform

https://lnkd.in/dtT3zMzF

✅ Lab 4. AWS NAT Gateway using Terraform | AWS Private Subnet using Terraform | Terraform Tutorial

https://lnkd.in/dqTeZQdc

✅ Lab 5. Terraform Input Variables | How to Use Terraform Input Variables | Terraform Variables

https://lnkd.in/dqsAKSyH

✅ Lab 6. Terraform Output Variables Example | Terraform Output Values | Terraform Outputs

https://lnkd.in/dhkgFexc

✅ Lab 7. Terraform Local Values | How to use Terraform Local Values | Terraform Locals

https://lnkd.in/dHZEW_sy

✅ Lab 8. How to Create EC2 Instance in AWS using Terraform | Create EC2 Instance using Terraform

https://lnkd.in/dKjwzqGT

✅ Lab 9. AWS EC2 Instance,Security Group in AWS Using Terraform | Terraform Create Security Group AWS

https://lnkd.in/dMA-J7GE


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

⚠️ 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀

🌝𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐮𝐭):-
Horizontal scaling involves altering the number of pods available to the cluster to suit sudden changes in workload demands. As the scaling technique involves scaling pods instead of resources, it’s commonly a preferred approach to avoid resource deficits.

🌝𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐔𝐩):-
Contrary to horizontal scaling, a vertical scaling mechanism involves the dynamic provisioning of attributed resources such as RAM or CPU of cluster nodes to match application requirements. This is essentially achieved by tweaking the pod resource request parameters based on workload consumption metrics.

🌝𝐂𝐥𝐮𝐬𝐭𝐞𝐫/𝐌𝐮𝐥𝐭𝐢𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :-
Cluster scaling involves increasing or reducing the number of nodes in the cluster based on node utilization metrics and the existence of pending pods. The cluster autoscaling object typically interfaces with the chosen cloud provider so that it can request and deallocate nodes seamlessly as needed.

🌝𝐌𝐚𝐧𝐮𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 :-
Manual scaling in Kubernetes involves adjusting the number of nodes or resources allocated to a cluster manually. This can be done by adding or removing nodes, adjusting resource requests and limits, and distributing workloads across nodes to optimize performance.

🌝𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 :-
Predictive scaling stands as a transformative approach in the orchestration of cloud-native applications, allowing Kubernetes to not just react to current demands but to anticipate future needs. This forward-looking strategy harnesses the power of data analysis and machine learning to create a more dynamic, efficient, and user-oriented scaling process.


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