Glad it was helpful

Thanks for the feedback 🙏🏻

Glad I could help

Means a lot, Hrithik

Means a lot

This made my day. Thanks a lot, mate.

Thanks a lot, Vivek

Made my day, thanks a lot!

Appreciate it. Thanks.

Thanks a lot.

Thanks and welcome

Best video this side of the internet! Just kidding, but I appreciate the love!

Thanks for the support

Means a lot, mate. Do share with other folks.

Means a lot, mate.

Thanks for all the support.

😀

Sure thing.

Glad to hear that

@@LogicOpsLab could you please tell what happens in deployment..

How to deploy to dev qa uat n pro environment

@@sourabh4834 Deployment means the application is now fully functional and is ready to be consumed by everyone. Every tool has a separate process for the deployment but the end result is the same.

Can i say for dev qa was running on Tomcat so i was deploying to Tomcat... The. For the production deployment happening through Kubernetes

It totally depends on you. Choose the one that helps you explaining it better.

Glad you liked it

Thank you

Too kind of you 🙏🏻

Sure, will put it in a week or so.

Creation of environments in a one time process. You just create an environment one time and use it forever, unless you nuke/destroy it. Also, however the deployments happens 'n' number of times.

Will make a video on it

For Node.js applications, the build process typically involves packaging the application into a distributable format, often as a Node Package Manager (npm) package. This package includes the application's source code, dependencies, and any necessary configuration files. Unlike Java applications, which are often packaged into JAR, WAR, or EAR files, Node.js applications are typically distributed as npm packages, which can be easily installed and managed using npm or Yarn.

Here's a general overview of how this process might work: 1) Development Environment: Developers write and test code in their local development environments. Once satisfied, they commit their code to a version control system (e.g., Git). Before pushing changes forward, automated testing can also be conducted in the development environment. 2) Continuous Integration (CI) Pipeline: The committed code triggers an automated CI/CD pipeline. The pipeline compiles/builds the code runs unit tests and generates an artifact (e.g., Docker image, executable, etc.). If the tests pass, the pipeline produces a "build artifact" ready for deployment. 3) Quality Assurance (QA) Environment: The build artifact is automatically deployed to the QA environment. Automated integration tests, regression tests, and other QA processes are performed in this environment. The artifact can be promoted to the next stage if the tests are successful. 4) Staging Environment: The artifact is automatically deployed to the staging environment, which should closely resemble the production environment. More extensive testing, including performance testing and user acceptance testing, can be performed here. If the artifact passes all tests, it's ready for production. 5) At this point, some organizations introduce a manual approval step before deploying to production. This is often done for risk mitigation and to ensure that critical changes are reviewed before going live. Managers or designated individuals receive notifications about the pending deployment. They review the changes, assess potential risks, and decide whether to approve or reject the deployment to production. 6) Production Environment: Once the manager approves, the artifact is automatically deployed to the production environment. Depending on the organization's practices, this deployment can happen instantly or during a scheduled maintenance window. Continuous monitoring and automated rollback mechanisms should be in place in case any issues arise after deployment. It's important to note that the specifics of this process can vary widely depending on the organization, the tools and technologies in use, and the specific requirements of the application being deployed. The key principles are automation, consistency, and thorough testing at each stage to ensure that code changes move through the pipeline reliably and without causing disruptions in the production environment.

In short, dev to qa promotion is QA's responsibility. QA to production anyone from a senior perspective can promote. It is mostly a team. The production deployment happens in front of everyone. The DevOps/PO leads are the ones monitoring it.

@@LogicOpsLab thank you sir.. As of my knowledge, automatic deployment from 1 environment to other environment is take place by jenkins webhook right? example suppose we have 4 branch in git hub like dev, qa, staging, prod.. when developer push the code to git hub ,with a help of webhook jenkins will fetch the code then automated build, test, deployment to dev environemnt take place,, after that when code merge to the qa branch, web hook will trigger code to jenkins then same step will take place as earlier then deployment to QA environment, then same thing for staging and production environment... Am I correct? In shorts, automatic deployment from dev to qa, qa to staging, staging to production is happen with a help of webhook trigger after merge with dev to wq, qa to stage, stage to prod branches in git hub, Am I correct? please help me on this If Iam wrong then on what mechanism automatic deployment between different env take place? please help me on this🙏

@@NaveenKumar-vy2ug Automatic Deployment can be done on the basis of a "Trigger". The right word is Trigger over here. Now, this Trigger can work differently in different tools. You can use it using a webhook, you can manually do it in Azure DevOps, and other CI tools.

thank you sir@@LogicOpsLab

Create a build pipeline that defines the steps needed to build your C# and .NET application. In the pipeline, you'll specify tasks such as restoring NuGet packages, building the solution, running tests, and possibly other steps depending on your project's requirements.

A DevOps will create a Dev environment for the developers. This is done so that the developers can test how their code will look like when it will be promoted to higher environments. It can be done two ways, either they can push their code and the build starts automatically or they can manually trigger a build.

Sorry but still not clear. I am asking, if my code (devloped code by dev) is for website or for application. Then that website is available for devloper on other test URL or dev URL? To check their implementation is reflecting correct changes on website or not?

@@vinayaksalunkhe2875 It would be available on Dev URL. Every environment MUST have a separate URL. If it is a VM then the application/website has to be exposed through an IP address or a DNS name. If it is a web service, then a URL will be there for Developer testing. Therefore, for every environment, there MUST be a separate URL/Web Interface to test. I hope it makes sense now?

@@LogicOpsLab Thanks bro.... Now it's clear.

@@vinayaksalunkhe2875 You are welcome!

Thanks for the feedback, Anant. Appreciate it. Try thinking it this way, if you are working in the same stack that you were working in the previous company, where is the margin to learn? In my opinion, you should join a company with 65-80% overlap. Otherwise, you are doing the same thing and this is penny wise, pound foolish. Next time, ask them for feedback. I assume there would be some non-negotiable technology and if you do not answer that, you will be rejected. Always know about the JD, what are the "Good to Have" and what are "Must Have". Best wishes, mate.

@@LogicOpsLab -Yes thats what i asked them , they rejected me just bcoz in my past company i did not got opportunity to work on Azure data bricks as hand on. many company's are copy pasting in sharing the JDS.

@@anantsolanki9471 True! I feel you but I think you just dodged a bullet. There are better opportunities waiting for you. Your personal growth matters a lot, you are not a robot who will do the same thing again and again. Wish you the best, mate.

​@@LogicOpsLab -Thanks Ravish, yr videos help us a lot in learning in field of DevOps.

@@anantsolanki9471 Keep growing, mate!

It is totally your call: 1) Scanning before - Useful to get the code coverage, if the code coverage is beyond what you have set up in the quality gates, then it's cool. Otherwise, fail the build. 2) After - After the code is successfully built, the SonarQube analysis is performed on the generated binary or package. This analysis checks for code quality, security vulnerabilities, code smells, and other metrics.

@@LogicOpsLab thank you 🙏🙏

Thanks for the suggestion, mate. But, discussing branching strategies would've made a video longer. I have created a separate video for the same.

More than 90% of the time, yes! Unless there is a separate team for infrastructure, which rarely happens.

Thankyou for sharing valuable information,

Hey! Thanks for the question. Yes, all of the tech you mentioned is a responsibility of a devops engineer. Personal Opinion - It can vary company to company but wherever I have worked till date, it has been always my responsibility.

Check out my resume series and make changes accordingly. It will surely help you.

Thanks for your question, Venkat. So, once the code is deployed In Dev, the developers do the initial testing. Once they're okay, the code is promoted to the Staging / QA environment. That's the time the QA folks test on the respective environment. It depends what type application it is, if it's a web app, the testing could be Selenium. There are other several testing frameworks. Api testing, manual testing, etc DevOps folks are needed to promote the build from Dev to QA or to any higher environment. The process differed company to company.

@@LogicOpsLab Thanks really appreciate and also Ravish I have another doubt. Once is build is successful and deployed into QA env. Do the testers create a new branch in the SCM and work on it? If all the tests are successful, they do a pull request to which branch ? Master or staging ?

Testers don't create a new branch for testing unless there is a special case of writing new test cases. Even then they test their branch first, merged it to Dev, then it gets merged to higher branches.

@@LogicOpsLab OP bro. Thanks for replying immediately. This video really did help me.

Glad it was helpful. Do like and share with your friends.@@taknevydder

Key Achievements: Highlight the key achievements and contributions you made. Focus on specific results, improvements, or impacts. Use quantifiable data when possible. For example: "I led a team that reduced deployment times by 40% through automation, resulting in a 20% reduction in operational costs." "I implemented a CI/CD pipeline that reduced the error rate by 60%, improving the overall reliability of the system." Challenges Faced: Mention any challenges or obstacles you encountered during the project. This shows that you can adapt and problem-solve. "We faced scalability issues, which I addressed by redesigning the architecture to handle 10 times the previous load." Lessons Learned: Share any lessons you learned during the project. Mention how these lessons could be applied to future projects. "One important lesson was the value of effective communication and documentation in complex projects. This experience has made me a better team player and communicator."

I have a few devops real time projects on my channel. Just check one of them, and put that in your resume. Explain it in this way.

What about it?

@@LogicOpsLab interview on Docker please Rocky bhai 🤗

@@iamsohailsp Sure thing

Glad I could help you :)

Please connect with me on LinkedIn

Sir I am everytime following u but still u suggest me,is there another service required