📔 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

📔 https://prodevopsguy.tech/posts/real-world-prometheus-deployment-a-practical-guide-for-kubernetes-monitoring/


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

🔣 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗼𝗺𝗺𝗼𝗻 𝗘𝗿𝗿𝗼𝗿𝘀 🔣

1️⃣.𝙄𝙢𝙖𝙜𝙚𝘽𝙖𝙘𝙠𝙋𝙪𝙡𝙡𝙊𝙛𝙛 :-
We face this issue when the image is not present in registry or the given image tag is wrong.
Make sure you provide correct registry url, image name and image tag.

We might face authentication failures, when image is being stored in a private registry, make sure to create secret with private registry credentials and add created secret in Kubernetes Deployment File to pull docker image.

2️⃣.𝘾𝙧𝙖𝙨𝙝𝙇𝙤𝙤𝙥𝘽𝙖𝙘𝙠𝙊𝙛𝙛 :-
We face this issue when the process deployed inside container not running then the POD will be moved to CrashLoopBackOff.
POD might be running out of CPU or memory, POD should get enough resources allocated that’s cpu and memory for an application to be up and running, to fix that check in Resources Requests and Resources Limits.

3️⃣.𝙊𝙊𝙈 𝙆𝙞𝙡𝙡𝙚𝙙 - 𝙊𝙪𝙩 𝙊𝙛 𝙈𝙚𝙢𝙤𝙧𝙮 :-
We face this issue when PODs tries to utilise more memory than the limits we have set.
We can resolve it by setting appropriate resource request and resource limit.

4️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙋𝙚𝙣𝙙𝙞𝙣𝙜 :-
When nodes might not be ready and required resources like CPU and Memory may not be available in nodes for the PODs to be up and running.

5️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙒𝙖𝙞𝙩𝙞𝙣𝙜 :-
POD will be scheduled to a node but POD won’t be running in scheduled node.
We can fix this by providing correct image name, image tag and authentication to registry.

6️⃣.𝙋𝙊𝘿 𝙬𝙞𝙡𝙡 𝙗𝙚 𝙪𝙥 𝙖𝙣𝙙 𝙧𝙪𝙣𝙣𝙞𝙣𝙜 𝙖𝙣𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙞𝙨 𝙣𝙤𝙩 𝙖𝙘𝙘𝙚𝙨𝙨𝙞𝙗𝙡𝙚.
We can fix this by creating appropriate service.
If service is already created and application is still not accessible, make sure application and service are deployed in same namespace.

7️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙀𝙫𝙞𝙘𝙩𝙚𝙙 :-
We can resolve this by setting appropriate resource requests and resource limits for the PODs and having enough resources in worker nodes.


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

HIRING ALERT 🚨

➡️Company - TEKsystems
➡️Position - Aws-DevOps
➡️Location - Bangalore
➡️Experience - 3 to 6 years
➡️Skills: DevOps, AWS, Kubernetes, bash scripting, Jenkins.

✉️ Interested candidates share your resumes to pkoustubha@teksystems.com


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

📢 Complexity by Simplicity - A Deep Dive Into Kubernetes Components


➡️Many software engineers tend to look away from anything related to Kubernetes, even though they might use it daily. At first glance, it seems complex and like a whole new world to dive into. And yeah, it is, but in this blog post, I will go over all of the main components of a Kubernetes cluster and explain what they do in an example.

➡️ By the end of the blog post, you won't be a Kubernetes expert, but you will probably get a good idea of what to look for and how to structure the chaos that Kubernetes seems to be at first.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/complexity-by-simplicity-a-deep-dive-into-kubernetes-components


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

🖥 https://prodevopsguy.xyz/end-to-end-cicd-pipeline-using-github-actions-for-android-application

🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK


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

🚀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗺𝘂𝗹𝘁𝗶𝘀𝘁𝗮𝗴𝗲 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝘀𝗲𝘁𝘂𝗽 𝗶𝗻 𝗔𝘇𝘂𝗿𝗲 🌐

Here's a breakdown of our Dataflow process:

1️⃣ 𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝘁𝘂𝗱𝗶𝗼 𝗞𝗶𝗰𝗸-𝗼𝗳𝗳:
Developers initiate projects using predefined templates, like the .NET Angular workload. This setup includes an Azure Resource Group project deploying key elements via an ARM template – Azure App Service plan, App Service instance, and Application Insights.

2️⃣ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗬𝗔𝗠𝗟:
A YAML file outlines our multistage pipeline, guiding solution building and publication.

3️⃣ 𝗚𝗶𝘁 𝗣𝘂𝘀𝗵 𝘁𝗼 𝗔𝘇𝘂𝗿𝗲 𝗥𝗲𝗽𝗼𝘀:
Utilizing 'git push' to transfer the solution into Azure Repos repository.

4️⃣ 𝗔𝘇𝘂𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 𝗡𝗼𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻:
Triggered by the Git command, Azure DevOps Services dispatches notifications through webhooks.

5️⃣ 𝗟𝗼𝗴𝗶𝗰 𝗔𝗽𝗽 𝗔𝗰𝘁𝗶𝘃𝗮𝘁𝗶𝗼𝗻:
Webhook triggers a logic app to further process the notification.

6️⃣ 𝗟𝗼𝗴𝗶𝗰 𝗔𝗽𝗽 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀:
Logic app assesses the repository branch - whether it's the main branch or a feature branch. In case of a main branch commit, it looks for corresponding pipelines.

7️⃣ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:
If a pipeline exists in Azure Pipelines, the logic app uses Azure DevOps Services REST API to update it. Otherwise, it dynamically creates one.

8️⃣ 𝗠𝘂𝗹𝘁𝗶𝘀𝘁𝗮𝗴𝗲 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻:
This pipeline builds, publishes, and deploys an artifact to Azure resources. The artifact comprises a .NET Angular zip folder for App Service instance deployment and ARM templates with parameter files for Azure infrastructure provisioning.

9️⃣ 𝗦𝘁𝗮𝗴𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁:
Artifact deployment to Azure staging environment.

🔟 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁:
Subsequent deployment to Azure production environment.

Result? ⏱
Reduced labor through automated pipeline provisioning and Azure infrastructure setup. 🛠


❤️ 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

🔥 AWS DEVOPS REAL-TIME DEPLOYMENT

Development → Pre-PROD → Production ⏰

🔗 Detailed Project Explanation with Screenshots : https://prodevopsguy.xyz/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

🌐 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

Hello Everyone 👋,

For those considering a switch to DevOps, here are some basic tips to help you get started:

🔢. Familiarize Yourself with DevOps Tools:
Understand the purpose of different DevOps tools such as Jenkins, Ansible, Docker, Kubernetes, Git, and more. Each tool serves a specific function in the DevOps pipeline.

🔢. Grasp the DevOps Workflow:
Gain a solid understanding of the DevOps lifecycle, from development and testing to deployment and monitoring. Know the roles and responsibilities at each stage.

🔢. Scripting Skills are Crucial:
Command at least one scripting language, like Bash or Python. While you don't need to be a hardcore developer, scripting is vital for automation tasks.

🔢. Adaptability is Key:
DevOps is a dynamic field, and tasks can vary widely. Be ready to adapt to new challenges regularly. It's not uncommon to face different issues deploying the same code in different environments, so a problem-solving mindset is crucial.

🔢. Basic Networking Knowledge:
Understand fundamental networking concepts. DevOps often involves working with various systems and networks, so a basic understanding will be beneficial.

🔢. Proficiency in a Cloud Platform:
Be proficient in at least one cloud platform (e.g., AWS, Azure, GCP). Cloud services are integral to modern DevOps practices, and knowing your way around a cloud environment is essential.

🔢. Focus on Proficiency with One Tool Initially:
DevOps encompasses a variety of tools that may serve similar purposes. Instead of trying to learn multiple tools for the same task right away, focus on mastering one tool first.Start by learning the basics and becoming proficient in one tool before exploring others.

🔢. Stay curious:
explore new technologies, and engage with the DevOps community to enhance your skills.


Best of luck on your DevOps journey! 🙂


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