📢 DevOps Real World Projects for Aspiring DevOps Engineers [Beginner to Advanced]


📱 REPO LINK: https://github.com/NotHarshhaa/DevOps-Projects

⭐️ Repository Contents for DevOps Projects from Beginner to Advanced Levels
The repository contains hands-on DevOps projects suitable for individuals at various skill levels, ranging from beginner to advanced.

⭐️ Integration of DevOps Technology with Other Technologies
Projects in this repository showcase the integration of DevOps practices with other cutting-edge technologies such as Machine Learning, Git, GitHub, etc.

⭐️ Project Scope
The projects included cover a wide array of topics within the DevOps domain, providing practical experience and insights into real-world scenarios.

⭐️ Why Explore This Repository?
Whether you're new to DevOps or looking to enhance your skills, this repository offers valuable resources and projects to help you learn and grow in the field.

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

𝐇𝐨𝐰 𝐂𝐈𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐀𝐖𝐒 ❗️

AWS DevOps and CI/CD pipelines are the driving force behind achieving agile development and seamless software delivery.

🔗 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐈/𝐂𝐃 𝐰𝐢𝐭𝐡 𝐀𝐖𝐒❓
CI/CD, which stands for Continuous Integration and Continuous Deployment, is an automated approach that helps developers easily integrate code changes and deploy them to production. AWS offers a number of tools, including CodeCommit, CodeDeploy, and AWS CodePipeline, to guarantee that your software is always prepared for quick deployment with small updates.

🛠 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐚 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤 𝐨𝐧 𝐀𝐖𝐒❓

Continuous Integration (CI):
🎯 Developers create and commit code to AWS CodeCommit, a fully managed source control service.
🎯 AWS CodeBuild automatically compiles, tests, and packages the code to ensure everything is in place.
Continuous Deployment (CD):
🎯 Once the code passes the CI phase, AWS CodePipeline ensures it’s ready for deployment.
🎯 AWS CodeDeploy automatically deploys the code to the target environments, such as EC2, ECS, or Lambda.

⚙️ 𝐊𝐞𝐲 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐨𝐟 𝐚𝐧 𝐀𝐖𝐒 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞:

🔠 Source Control Management (SCM): AWS CodeCommit is used for version control and storing code in a secure, scalable Git-based repository.
🔠 Build Tools: AWS CodeBuild is a managed build service that compiles the source code, runs tests, and produces artifacts.
🔠 Artifact Repositories: Amazon S3 or AWS CodeArtifact is used for storing build artifacts, Docker images, and application binaries, ensuring they are readily available for deployment.
🔠 Deployment Tools: AWS CodeDeploy automates deployments to various services, including Amazon EC2 instances, ECS containers, and Lambda functions.
🔠 Testing Automation: AWS CodeBuild integrates with testing frameworks to run unit, integration, and end-to-end tests to maintain the quality and reliability of the code.

⭐️ 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐀𝐖𝐒 𝐂𝐈/𝐂𝐃:

🔠 Faster Delivery: Smaller, frequent releases with CodePipeline accelerate feature updates and bug fixes.
🔠 Enhanced Collaboration: AWS DevOps promotes collaborative development, enabling developers to work on different features without conflict, leading to more effective and harmonious teamwork.


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

👉 Continuous deployment assumes that every product change or update is deployed automatically to production without any manual supervision from a DevOps engineer.

💡 Continuous Delivery:
- Automates the release process.
- Ensures readiness for deployment at any time.
- Allows manual deployment when needed.

💡 Continuous Deployment:
- Automates deployment of every successful code change.
- Directly deploys to production without human intervention.
- Requires high confidence in automated testing.


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

💬Must have AWS guides for every AWS cloud engineer.📰


➡️EC2 Guide: https://lnkd.in/gpd5Vcj4

➡️S3 Guide: https://lnkd.in/gDx8wun4

➡️VPC Guide: https://lnkd.in/gcukX8_U

➡️Route 53 Guide: https://lnkd.in/gQGZywwE

➡️RDS Guide: https://lnkd.in/gXzGwpJS

➡️IAM Guide: https://lnkd.in/gfgfcKZh

➡️ELB Guide: https://lnkd.in/gzetCQHp

➡️Auto Scaling Guide: https://lnkd.in/gwiR9cSr

➡️Lambda Guide: https://lnkd.in/gsGeqVSh

➡️DynamoDB Guide: https://lnkd.in/gJwKi9Vy

➡️EKS Guide: https://lnkd.in/gBbBPSsn

➡️SQS Guide: https://lnkd.in/g-Md_ca7

➡️SNS Guide: https://lnkd.in/guhM45RS

➡️CloudWatch Guide: https://lnkd.in/gsD2v5h5

➡️CloudFront Guide: https://lnkd.in/gHa92_Dd

➡️CloudTrail Guide: https://lnkd.in/gqCDk58m

➡️EventBridge Guide: https://lnkd.in/gzBKtAN3

➡️Billing and Cost Management Guide: https://lnkd.in/gHHSMgMa


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

▶️ 𝑻𝒆𝒓𝒓𝒂𝒇𝒐𝒓𝒎 𝑭𝒍𝒐𝒘 𝒊𝒏 𝑪𝑰/𝑪𝑫 𝑻𝒆𝒓𝒓𝒂𝒇𝒐𝒓𝒎 𝑫𝒆𝒗𝑶𝒑𝒔

1. 𝑫𝒆𝒗𝒆𝒍𝒐𝒑𝒆𝒓
- Role: The developer creates both the Terraform configuration files and the application code, ensuring that infrastructure and application requirements align seamlessly.

2. 𝑺𝒐𝒖𝒓𝒄𝒆 𝑪𝒐𝒏𝒕𝒓𝒐𝒍
- Process: After writing the code, the developer commits changes to a local Git repository. This is followed by pushing these commits to a remote repository, allowing for collaborative development and version control.

3. 𝑺𝒕𝒂𝒕𝒊𝒄 𝑪𝒐𝒅𝒆 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔
- Purpose: Before initiating the CI/CD pipeline, a static code analysis tool, such as SonarQube, scans the code for potential security vulnerabilities and assesses overall code quality. This step helps catch issues early in the development process.

4. 𝐂𝐈/𝐂𝐃 𝐓𝐨𝐨𝐥 𝐓𝐫𝐢𝐠𝐠𝐞𝐫
- Action: The push to the remote repository automatically triggers the CI/CD pipeline configured in Jenkins, initiating the automated workflow.

5. 𝐂𝐈/𝐂𝐃 𝐓𝐨𝐨𝐥𝐬
- Options: Various CI/CD tools are available, including CircleCI, GitHub Actions, and ArgoCD, providing flexibility based on project needs and team preferences.

6. 𝑻𝒆𝒓𝒓𝒂𝒇𝒐𝒓𝒎 𝑰𝒏𝒊𝒕𝒊𝒂𝒍𝒊𝒛𝒂𝒕𝒊𝒐𝒏
- Command: Jenkins executes the terraform init command to set up the Terraform working directory. This step involves downloading the necessary provider plugins to ensure proper configuration.

7. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑷𝒍𝒂𝒏𝒏𝒊𝒏𝒈
- Execution: The terraform plan command is run by Jenkins, generating an execution plan that outlines the actions Terraform will take to achieve the desired state specified in the configuration files.

8. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏
- Implementation: Jenkins then runs terraform apply, applying the planned changes to the infrastructure. This step implements actual modifications to the cloud resources as defined in the Terraform configuration.

9. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑫𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕
- Outcome: The infrastructure is deployed to the designated cloud provider, such as AWS, Azure, or GCP, ensuring that resources are correctly provisioned.

10. 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 𝑹𝒆𝒂𝒅𝒚 𝒇𝒐𝒓 𝑼𝒔𝒆
- Result: The deployed resources, including virtual machines, networks, and storage, are now provisioned and available for immediate use, enabling further development and deployment of applications.

This structure improves readability while maintaining clarity, making it more engaging for your audience on social media or in presentations.


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

Confused about DevOps? ♾

Start here: Your simple guide to success 👇

💘 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
- Git: Version control essentials
- Linux: Command-line proficiency
- Networking: Basic protocols and architecture
- Databases: SQL fundamentals

💘 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴
- Python: The Swiss Army knife for DevOps

💘 𝗖𝗹𝗼𝘂𝗱, 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (𝗜𝗮𝗖) & 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝗦𝗖𝗠)
- Cloud Platforms: AWS, Azure, or Google Cloud
- Terraform: Infrastructure as code mastery
- Git-based platforms: GitHub, GitLab, or Bitbucket

💘 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻
- Docker: Application containerization
- Kubernetes: Container orchestration
- Helm: Kubernetes package management

💘 𝗖𝗜/𝗖𝗗
- Choose your fighter: Jenkins, GitHub Actions, GitLab CI/CD, or CircleCI

💘 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗟𝗼𝗴𝗴𝗶𝗻𝗴
- Prometheus & Grafana: Metrics and visualization
- ELK Stack: Log management and analysis


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

#️⃣I've spent over 5 years in DevOps and cloud.

🔠Here’s a summary of 10 brutal facts I’ve learned:

1) Simplicity scales, overengineering burns budgets

2) Every tool claims to be DevOps friendly most aren’t

3) The best way to improve uptime is to deploy less garbage

4) Multi cloud strategy often means we don’t have a strategy

5) Good CI/CD isn’t about speed it’s about confidence in production

6) Serverless is great until you hit cold starts and debugging nightmares

7) No one truly understands cloud cost optimization until they see the bill

8) Kubernetes isn’t always the answer sometimes it’s just a bigger problem

9) Security is everyone's responsibility but when things go wrong it's only yours

10) No matter how good your automation is someone will still SSH into production


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

🚀 Mastering AWS DevOps: Elevate Your Cloud Game! 🌩


Dive into the world of AWS DevOps and transform your cloud infrastructure with cutting-edge tools and practices. Here's what you need to know:

🔧 Core Components:
1. AWS CodePipeline: Automate your release pipelines with ease.
2. AWS CodeBuild: Scalable build service to compile your source code, run tests, and produce software packages.
3. AWS CodeDeploy: Automate code deployments to any instance, be it EC2 or on-premises.
4. AWS CodeCommit: Secure and scalable source control service to host Git repositories.

📊 Monitoring and Logging:
- Amazon CloudWatch: Monitor and log your AWS resources and applications.
- AWS X-Ray: Trace and debug applications built using a microservices architecture.

🔐 Security:
- AWS Identity and Access Management (IAM): Fine-grained access control for users and services.
- AWS Key Management Service (KMS): Create and manage cryptographic keys securely.

🔄 Continuous Integration & Continuous Deployment (CI/CD):
- Integrate with Jenkins, GitHub Actions, or GitLab CI for streamlined CI/CD workflows.

🚀 Scalability and Performance:
- AWS Elastic Beanstalk: Quickly deploy and manage applications in the AWS Cloud without worrying about the infrastructure.
- AWS Auto Scaling: Ensure your application scales automatically to meet demand.

🔧 Infrastructure as Code (IaC):
- AWS CloudFormation: Model and set up your AWS resources using code.

🌍 Global Reach:
- Utilize AWS Global Infrastructure for deploying your applications across multiple regions.

Stay tuned for more insights and tips on leveraging AWS DevOps to boost your cloud efficiency and productivity. Happy DevOps-ing! 🤖💻

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

🖥 Recent Asked Interview Questions: 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝗮𝗻𝘆

🔠Role: 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿
🔠Exp Range : 𝟯-𝟱 𝘆𝗿𝘀

1. What is the role of IAM roles and policies?
2. Can you explain the Terraform plan and its purpose?
3. What is AWS Lambda, and how does it work?
4. How do you invoke a Lambda function, and where do you configure it?
5. Can you describe how Lambda handles scaling and event-based invocations?
6. What is Amazon CloudWatch, and have you configured any custom metrics?
7. What metrics are available on your CloudWatch dashboard?
8. How do you configure CPU utilization on your CloudWatch dashboard?
9. How do you attach an SSL certificate to an S3 bucket?
10. What type of encryption have you implemented in your project?
11. If an S3 bucket has a read-only policy, can you modify objects in the bucket?
12. Why did you choose Terraform over Boto3 for infrastructure provisioning?
13. What is a Content Delivery Network (CDN), and how does it work?
14. Have you created a Jenkins pipeline for your project?
15. How do you attach policies to IAM users, either individually or by group?
16. What type of deployment strategies are you using in your project?
17. Have you used any tools to create customized Amazon Machine Images (AMIs)?
18. What is connection draining, and how does it work?
19. How does an Elastic Load Balancer (ELB) distribute traffic?
20. What is auto-scaling, and how does it work?
21. Can you describe the different types of Load Balancers and provide examples?
22. What is the maximum runtime for a Lambda function?
23. What is the maximum memory size for a Lambda function?
24. How can you increase the runtime for a Lambda function?
25. What automations have you performed using Lambda in your project?
26. Why did you choose Terraform over Boto3 for infrastructure provisioning?
27. What modules have you used in your Lambda function?
28. Have you created an SNS topic for your project?
29. If you've exhausted IP addresses in your VPC, how would you provision new resources?
30. What is Groovy, and how is it used in Jenkins?
31. Why do you use Groovy in Jenkins, and where do you save Jenkins files?
32. What is Ansible, and what is its purpose?
33. What language do you use in Ansible?
34. Where do you run Terraform code, remotely or locally?
35. What is the purpose of access keys and secret keys in AWS?
36. What are Terraform modules, and have you used any in your project?
37. What environments have you set up for your project?
38. Do you use the same AWS account for all environments?
39. Do you have separate Jenkins servers for each environment?
40. Where do you write and save your Lambda function code?


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

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➡️ Bootcamp Program Link: https://blog.prodevopsguy.xyz/the-ultimate-devops-bootcamp-2024-pack-by-prodevopsguy

➡️ Complete DevOps Bootcamp Syllabus: https://blog.prodevopsguy.xyz/the-ultimate-devops-bootcamp-syllabus


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✨ 𝗪𝗵𝘆 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺?

Before Terraform, managing infrastructure meant manual setups, clicking around cloud dashboards and hoping nothing was missed.

It was 𝘁𝗶𝗺𝗲-𝗰𝗼𝗻𝘀𝘂𝗺𝗶𝗻𝗴, 𝗲𝗿𝗿𝗼𝗿-𝗽𝗿𝗼𝗻𝗲 and 𝗵𝗮𝗿𝗱 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲📉

Then came 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺.

𝗙𝗮𝘀𝘁, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 and 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗹𝗲.

Developed by HashiCorp, Terraform introduced a new approach:
"Manage infrastructure like 𝗖𝗢𝗗𝗘."

Terraform is an Infrastructure as Code (IaC) tool that allows you to define, manage and provision infrastructure using simple configuration files.

𝗪𝗵𝘆 𝗗𝗼 𝗪𝗲 𝗡𝗲𝗲𝗱 𝗜𝘁?

🔠 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝘀 infrastructure deployment
🔠 𝗥𝗲𝗱𝘂𝗰𝗲𝘀 human error
🔠 Makes your setups 𝗿𝗲𝗽𝗲𝗮𝘁𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁
🔠 It is a 𝗰𝗹𝗼𝘂𝗱 𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 - works with multiple cloud providers

𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘁𝗼𝗼𝗹, 𝗶𝘁’𝘀 𝗮 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗳𝗼𝗿 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗿𝗻 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲.


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

🔥Most Useful DevOps/Cloud GitHub Repositories to Learning and Become a DevOps Engineer ♾


1️⃣. DevOps Realtime Projects (Beginner to Experienced): Link

2️⃣. Into The DevOps of Every tools: Link

3️⃣. DevOps Setup-Installations Guides: Link

4️⃣. Roadmap to learn Kubernetes so easy: Link

5️⃣. List of Best DevOps Tools with Detailed: Link

6️⃣. End to End CI/CD Pipeline Deployment on AWS EKS: Link

7️⃣. Becoming a Kubernetes Administrator Learning path: Link

8️⃣. Azure All-in-one Guide: Link

9️⃣. Terraform: Deploy an EKS Cluster-Like a Boss!: Link

1️⃣0️⃣. All In one Buddle of Kubernetes: Link

1️⃣1️⃣. Kubernetes Dashboard with integrated Health checks: Link

1️⃣2️⃣. AWS Billing Alert terraform module: Link

1️⃣3️⃣. DevOps cheatsheet: Link

1️⃣4️⃣. DevOps Tool Installer: Link


♥️Credits: @NotHarshhaa ✅

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

📣 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬

➡️𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐎𝐮𝐭):
- Adjusts the number of pods to meet changing workload demands.
- Preferred for avoiding resource shortages by scaling pods instead of resources directly.

➡️𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 (𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐔𝐩):
- Dynamically allocates resources like RAM or CPU to cluster nodes based on application needs.
- Achieved by modifying pod resource requests in response to workload metrics.

➡️𝐂𝐥𝐮𝐬𝐭𝐞𝐫 𝐀𝐮𝐭𝐨𝐬𝐜𝐚𝐥𝐢𝐧𝐠:
- Increases or decreases the number of nodes in the cluster based on node utilization and pending pod status.
- Interfaces with the cloud provider to request or deallocate nodes as required.

➡️𝐌𝐚𝐧𝐮𝐚𝐥 𝐒𝐜𝐚𝐥𝐢𝐧𝐠:
- Adjusts the number of nodes or allocated resources in the cluster manually.
- Involves adding or removing nodes, tweaking resource requests, and optimizing workload distribution.

➡️𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬:
- Utilizes data analysis and machine learning to anticipate future workload demands.
- Enhances efficiency by proactively adjusting resources to meet upcoming needs, rather than reacting to current demands.


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

🔠 Not a joke, many Cloud Engineers don’t fully understand 𝗜𝗻𝘁𝗲𝗿𝗻𝗲𝘁 𝗮𝗻𝗱 𝗡𝗔𝗧 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 differences or their implications.


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

🌟 Kickstart Your DevOps Journey! 🚀

Are you a fresher with zero knowledge of DevOps? Don't worry! Our comprehensive guide, Learn DevOps with 0 Knowledge for Freshers, is here to help you get started on the right path.

🖥 Read the full article here: https://dev.to/prodevopsguytech/learn-devops-with-0-knowledge-for-freshers-6i4

💡 What you'll learn:
- Understanding the basics of DevOps
- Foundation skills: programming, OS, networking
- Mastering CI/CD with Jenkins and GitLab
- Configuration management with Ansible and Puppet
- Containerization and orchestration with Docker and Kubernetes
- Exploring cloud platforms: AWS, Azure, GCP
- Implementing Infrastructure as Code with Terraform
- Monitoring and logging with Prometheus and ELK Stack
- Hands-on projects and continuous learning tips

Start your DevOps journey today and become a proficient DevOps engineer! 🎉

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Kubernetes Pod YAML Explained!

If you’re working with Kubernetes, understanding the structure of pod.yaml is crucial for effective deployment and management. Here’s a detailed breakdown of the key components and how they work together:

Key Highlights:

🔠 Metadata: Defines the Pod’s name, labels, and annotations for better organization and management.

🔠 Spec: Specifies the container configurations, volumes, environment variables, and other runtime settings.

🔠 Scheduling: Fine-tune Pod placement using nodeSelector, affinity, and tolerations to optimize resource utilization.

🔠 SecurityContext: Implements security best practices, including privilege settings, user/group IDs, and network policies for enhanced security.

🔠 InitContainers: Runs setup tasks before the main application container starts, ensuring dependencies are met.

🔠 Resource Management: Allocate CPU and memory limits/requests to optimize performance and prevent resource starvation.

🔠 Networking & Communication: Configure ports, hostAliases, and dnsPolicy for smooth inter-container and external connectivity.

Mastering pod.yaml helps streamline deployments, improve security, and optimize workloads in Kubernetes environments!


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

🖥 Recent Asked Interview Questions:
- Role: 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿
- Exp Range : 𝟯-𝟱 𝘆𝗿𝘀
&
50 DevOps Interview Questions ❓


📱 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