𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗟𝗶𝘀𝘁 𝗼𝗳 20 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻𝗹𝘆 𝘂𝘀𝗲𝗱 𝐃𝐨𝐜𝐤𝐞𝐫 🐬 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀!!


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

➡️General Concepts:

1. What is infrastructure as code (IaC)?
2. Explain the difference between declarative and imperative programming in the context of infrastructure provisioning.
3. Why is IaC important in cloud computing?
4. What are the benefits of using infrastructure as code?
5. Compare CloudFormation and Terraform in terms of language, features, and ecosystem.

➡️Terraform:

1. What is Terraform and how does it work?
2. Describe the basic structure of a Terraform configuration file.
3. How does Terraform maintain state, and why is state important?
4. What is the purpose of a Terraform provider?
5. Explain the difference between a Terraform resource and a data source.
6. How does Terraform handle dependencies between resources?
7. What is Terraform's execution plan?
8. How do you manage sensitive information (like API keys) in Terraform configurations?
9. Describe the significance of the Terraform lifecycle.

➡️CloudFormation:

1. What is AWS CloudFormation and how does it work?
2. Explain the structure of an AWS CloudFormation template.
3. What are CloudFormation stacks and what purpose do they serve?
4. How does CloudFormation handle dependencies between resources?
5. What is the difference between an AWS resource and an AWS parameter in a CloudFormation template?
6. How can you conditionally create resources in AWS CloudFormation?
7. What is AWS CloudFormation change sets and why are they useful?
8. Explain the concept of intrinsic functions in CloudFormation.
9. How does AWS CloudFormation handle rollback in case of a failure?
10. What is the purpose of AWS CloudFormation Designer?

➡️Advanced Concepts:

1. Discuss the concept of variable interpolation in Terraform.
2. How do you handle versioning in Terraform?
3. Explain how to create reusable modules in Terraform.
4. What is Terraform's "remote backends" feature?
5. Discuss strategies for handling drift in Terraform.
6. How can you achieve idempotence in Terraform configurations?
7. Explain the difference between "provisioners" and "null resources" in Terraform.
8. How does Terraform handle secrets management?
9. Discuss the role of "workspaces" in Terraform.
10. What are CloudFormation stack policies and when would you use them?

➡️Best Practices:

1. What are some best practices for organizing Terraform code?
2. How do you handle state isolation in Terraform?
3. Explain the concept of "immutable infrastructure" and its relevance to IaC.
4. Discuss strategies for managing sensitive data in CloudFormation templates.
5. What are some security considerations when working with IaC tools?
6. How can you optimize the performance of Terraform deployments?
7. What is the "terraform validate" command used for?
8. How do you manage drift in CloudFormation templates?
9. Discuss the importance of tagging resources in CloudFormation.
10. What are some strategies for rolling back changes in Terraform?


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

Hiring! AWS DevOps Engineer at LogiQuad Solutions ⭐️

➡️Exp:- 3 to 5 years
➡️Location : Remote

🔧 Expertise & Experience:-

AWS Cloud: Extensive hands-on experience designing and managing scalable, secure cloud environments.

Terraform: Proficient in Infrastructure as Code (IaC) to automate and optimize infrastructure deployment.

Kubernetes: Skilled in deploying and managing containerized applications for seamless, efficient scaling.

Serverless Applications: Developed and maintained serverless architectures, ensuring cost-efficiency and agility.

Infrastructure Development: Proven track record of building infrastructure from scratch, tailoring solutions to meet business needs.

✉️ Interested candidates can send their resumes to ppandya@logiquad.com


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

Basic 📱 Git Flow in DevOps ♾ CI-CD!

1️⃣. Developer Creates Feature Branch: The developer creates a new feature branch and is used to work on a new feature or a specific task.

2️⃣. Developer Writes Code: The developer writes the necessary code for the feature in their local development environment.

3️⃣. Developer Commits Changes: Once the developer is satisfied with the changes, they commit the changes to the feature branch in the local Git repository.

4️⃣. Developer Creates Pull Request: The developer pushes the committed changes by creating a pull request to merge the feature branch into the main branch.

5️⃣. Code Review by Team: The pull request initiates a code review process where team members review the changes.

6️⃣. Approval of Pull Request: After addressing any feedback and making necessary adjustments, the pull request is approved by the reviewers.

7️⃣. Merge to Main Branch: The approved pull request is merged into the main branch of the Git repository.

8️⃣. Triggers CI/CD Pipeline: This automation ensures that the changes are continuously integrated and deployed.

9️⃣. Then we follow the procedure for building and testing the code, deploying to staging env. Once the tests in the staging environment pass, a manual approval is required to deploy the changes to the production environment. Once the code is deployed to production env, the prod env is monitored using Prometheus to track the performance and health of the application. The collected metrics are visualized using Grafana. Finally alerts are configured.


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

➡️ Deploying an app to AKS using Azure DevOps & Azure Cloud Shell

🖥 https://prodevopsguy.xyz/deploying-an-app-to-aks-using-azure-devops-azure-cloud-shell

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

📌 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗥𝗲𝗺𝗼𝘁𝗲 𝗦𝘁𝗮𝘁𝗲...𝗔𝗻 𝗜𝗡𝗧𝗘𝗥𝗩𝗜𝗘𝗪 𝗙𝗔𝗩𝗢𝗨𝗥𝗜𝗧𝗘!

Here's a streamlined workflow for managing Terraform remote state with AWS:

🟠 Developer initiates Terraform commands
🟠 Read and update state files stored in Amazon S3
🟠 State files are encrypted and versioned
🟠 Acquire a lock in DynamoDB before making changes
🟠 Locking prevents conflicts and race conditions
🟠 Each lock is identified by a unique lock ID (e.g., lock-abc-123)
🟠 Execute Terraform plans to provision or update resources
🟠 Release the lock in DynamoDB after updates


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

📢 DevOps Project-22: ☁️ AWS Fully Serverless Architecture with CI/CD ♾


🔗 Project Link: HERE

🔄 Project Overview :-
In this article, we’ll explore a practical example of a Fully Serverless Architecture implemented using Terraform — a popular IaC tool and CI/CD implemented using GitHub Actions. The code repository we’ll be examining is hosted on GitHub

I have a NodeJS Cloud Native API which I have used to deploy in this architecture. This API is specifically designed to make use of AWS serverless services.

Following are the serverless services used in this project:
➡️API Gateway
➡️Lambda
➡️Aurora Serverless (MySQL)
➡️AWS Simple Storage Service (S3)
➡️AWS Secrets Manager
➡️AWS Certificate Manager (ACM)
➡️Cloudwatch Logs and Metrics
➡️Route53

❤️‍🔥 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

➡️https://prodevopsguy.xyz/the-ultimate-devops-bootcamp-2024-pack-by-prodevopsguy


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

📔 https://prodevopsguy.tech/posts/setting-up-prometheus-and-grafana-integration-on-kubernetes-with-helm/


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

📔 https://prodevopsguy.tech/posts/microservice-delivery-on-kubernetes-using-jenkins-helm-charts-and-argo-cd/


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

📔 https://prodevopsguy.tech/posts/how-to-deploy-daemonsets-service-in-kubernetes-k8s/


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

➡️General Jenkins Interview Questions:

1. What is Jenkins and why is it used in DevOps?
2. Explain the key features of Jenkins.
3. What are Jenkins plugins, and how do they extend Jenkins functionality?
4. How do you install Jenkins?
5. What are the different ways to set up Jenkins?

➡️Jenkins Pipeline and Job Configuration:

6. What is a Jenkins Pipeline?
7. What are the differences between Declarative and Scripted Pipelines in Jenkins?
8. How do you configure a Jenkins job?
9. Explain how you would create and use Jenkinsfiles.
10. What is the difference between a Freestyle project and a Pipeline in Jenkins?
11. How do you schedule a Jenkins job?

➡️Jenkins Administration:

12. How do you secure Jenkins?
13. How do you manage users and roles in Jenkins?
14. Explain how to backup and restore Jenkins configurations.
15. What strategies would you use to scale Jenkins?

➡️Integration and Automation:

16. How do you integrate Jenkins with version control systems like Git?
17. What are some common CI/CD tools that integrate with Jenkins?
18. How do you automate tests with Jenkins?
19. Describe how to set up a continuous deployment pipeline with Jenkins.
20. How do you use Jenkins to deploy applications to different environments (e.g., dev, test, prod)?

➡️Troubleshooting and Optimization:

21. How do you monitor Jenkins and its jobs?
22. What are some common issues you might encounter with Jenkins and how do you resolve them?
23. How can you optimize Jenkins performance?
24. What strategies would you use to handle long-running jobs in Jenkins?
25. How do you handle failing Jenkins builds?

➡️Advanced Jenkins Topics:

26. Explain the use of Jenkins agents and how to configure them.
27. What is the role of Blue Ocean in Jenkins?
28. How do you use Jenkins for building Docker images?
29. Describe how you can trigger Jenkins jobs remotely.
30. How do you use Jenkins with Kubernetes for CI/CD?

➡️Practical and Scenario-Based Questions:

31. Describe a CI/CD pipeline you have implemented using Jenkins.
32. How do you handle secrets and credentials in Jenkins?
33. How would you migrate Jenkins jobs from one server to another?
34. Explain a situation where you improved the CI/CD process using Jenkins.
35. How do you manage dependencies in a Jenkins pipeline?


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

📔 https://prodevopsguy.tech/posts/devsecops-gitlab-cicd-amazon-app-deployment-on-aws-eks/


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

Gradle is a popular build automation tool used for Java, Groovy, and Kotlin projects, offering similar functionality to Maven but with a more flexible and powerful build scripting language.

➡️These commands are fundamental for building, testing, packaging, and managing dependencies in Gradle projects, making them essential tools for DevOps practitioners working with Java, Groovy, or Kotlin applications.


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

📔 https://prodevopsguy.tech/posts/aws-certified-solutions-architect-associate/


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

🚀 Hiring: DevOps Engineer 🚀

Looking for a skilled DevOps Engineer (1-4 years experience) in Bangalore, Whitefield.
➡️Key Skills: GCP, Terraform, Docker, Jenkins.
➡️Key Responsibilities:

Manage GCP infrastructure
Automate with Terraform
Containerize with Docker
Implement CI/CD pipelines using Jenkins

✉️ Apply now by sending your resume to tanwi.mehra@dmartlabs.com


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

🖥 https://prodevopsguy.xyz/100-kubernetes-diagnostics-commands-with-kubectl

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

Basic 📱 Git Flow in DevOps ♾ CI-CD!

1️⃣. Developer Creates Feature Branch: The developer creates a new feature branch and is used to work on a new feature or a specific task.

2️⃣. Developer Writes Code: The developer writes the necessary code for the feature in their local development environment.

3️⃣. Developer Commits Changes: Once the developer is satisfied with the changes, they commit the changes to the feature branch in the local Git repository.

4️⃣. Developer Creates Pull Request: The developer pushes the committed changes by creating a pull request to merge the feature branch into the main branch.

5️⃣. Code Review by Team: The pull request initiates a code review process where team members review the changes.

6️⃣. Approval of Pull Request: After addressing any feedback and making necessary adjustments, the pull request is approved by the reviewers.

7️⃣. Merge to Main Branch: The approved pull request is merged into the main branch of the Git repository.

8️⃣. Triggers CI/CD Pipeline: This automation ensures that the changes are continuously integrated and deployed.

9️⃣. Then we follow the procedure for building and testing the code, deploying to staging env. Once the tests in the staging environment pass, a manual approval is required to deploy the changes to the production environment. Once the code is deployed to production env, the prod env is monitored using Prometheus to track the performance and health of the application. The collected metrics are visualized using Grafana. Finally alerts are configured.


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

⛈ Knowing these 20 AWS ☁️ services makes you an AWS DevOps expert!

⏩Infra as code
- AWS CloudFormation
- AWS CDK

⏩Monitoring & Logging
- AWS CloudWatch
- AWS CloudTrail

⏩CI/CD
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy

⏩Configuration Management
- AWS Systems Manager
- AWS OpsWorks

⏩Security
- AWS IAM
- AWS KMS

⏩Networking
- AWS VPC
- AWS Direct Connect

⏩Containers
- AWS ECS
- AWS ECR
- AWS EKS

⏩Serverless
- AWS Lambdas
- AWS API Gateway

⏩Databases
- AWS RDS
- AWS DynamoDB


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

How Docker 🐬 Works Explained

Docker is a platform that simplifies application development and deployment through containerization.

➡️Here's a brief overview of how it works:

1. Developer: Writes code and prepares a Dockerfile with instructions to build an image.
2. Client: Uses Docker commands (docker build, docker pull, docker run, docker push) to interact with Docker.
3. Dockerfile: Script containing instructions to create an image, specifying base images and configurations.
4. Registry: Stores Docker images, which can be pulled or pushed by developers.
5. Docker Host: Runs the Docker daemon, managing images and containers.
6. Docker Daemon: Background service that manages the lifecycle of containers.
7. Images: Templates for creating containers, containing applications and dependencies.
8. Containers: Isolated environments where applications run, sharing the host system's kernel.

➡️Workflow:
- Build: Developer creates an image from a Dockerfile.
- Push: Image is uploaded to a registry.
- Pull: Image is downloaded from the registry.
- Run: Container is created and started from the image.

Docker ensures applications are portable and consistent across different environments, simplifying deployment and scaling.

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