Overview
Whenever we are required to deploy our product as fast as we can, at that time, there are chances to produce some bugs in the product when we commit our code manually. At that time it’s probable that we miss something or maybe by doing some changes with effect with the existing code.
So, to overcome the bugs and give updated product builds within a short period of time, CI/CD comes in pictures.
A CI/CD pipeline helps you automate your product delivery process. Automated pipelines remove compile/run time errors, provide standardized development, and help you to release product quicker & bug-free.
In this blog, We are going to give you some basic details related to the CI/CD pipeline which is adequate to help you understand the basic thing of CI/’CD.
What is CI/CD?
- CI/CD stands for Continuous Integration, Continuous Delivery.
- Continuous Integration is a process of development practice that requires developers to integrate their code into a shared repo several times a day.
- Continuous Delivery allows developers to take the code, stored in the repository, and continuously deliver it to production.
- CI/CD is an agile methodology that is used by many organizations/developers.
Introduction of CI
- Every code change is verified by an automated build, test, allowing teams to detect problems early.
- By integrating the CI, you can detect errors quickly, and locate them more easily.
- The integration happens after every “git push/pull_request” usually to a master branch. Then, in a dedicated server, an automated process builds the project and runs a set of unit tests to ensure that the newly committed code integrates without any error.
- If you’re doing CI and for some reason, the integration fails, that means your code is with some error so first, you need to fix that error, and then you will move on to the further task.
- Basically, CI works in three simple stages: push, test, and fix.
Introduction of CD
- Application is more frequently released into production environments.
- Every smaller, incremental change is released in production environments with reduced risk, enabling simplified rollbacks if needed.
- Deployment is automated, so minimal user intervention.
Elements of a CI/CD pipeline
- Source stage: In most cases, a pipeline is triggered when a code push or pull request occurs in the main repository/branch. A change in the main repository/branch triggers a notification to the CI/CD tool, which runs the corresponding pipeline.
- Build stage: Combine the source code and its dependencies to build a runnable instance of your application that can give to our end users.
- Test stage: In this part, A tool runs automated tests to validate your code and the behavior of your application. By using the test stage you can easily prevent reproducible bugs from reaching the end-users.
- Deploy stage: Once you have built a runnable instance that passed all predefined tests, you are ready to deploy your application. There are usually multiple deploy environments, like “Debug”, “QA”, “Release” and “Production” etc., and these environments are used internally by the product team and a “production” environment for end-users.
Tools of CI/CD
| Jenkins | CircleCI | TeamCity | Bamboo |
| GitLab | GitHub | Buddy | Travis CI |
| Codeship | GoCD | Nevercode | Buildbot |
Advantages of CI/CD
- Fault Isolations
- More Test Reliability
- Faster Release Rate
- Smaller Backlog
- Customer Satisfaction
- Increase Team Transparency and Accountability
- Easy Maintenance and Updates
Read: Social Selling
Conclusion
- Do you want your developer team to deliver error-free code at a high speed to your client?
- CI/CD is a method for you to frequently deliver apps to customers by introducing automation into the stages of app development.
- CI/CD pipeline used to improve your code quality and coding standards.
You may also like
Unlock .NET Core Development with Cutting-Edge Strategies
As the software development industry adapts, Core has become a dominant framework that allows progra...
How can you use ML Sentiment Analysis in ASP.NET Core?
We are going to talk about ML Sentiment Analysis which is able to conveniently explore the aspects o...
How to work Loop Execution with Benchmark using .NET
What is Benchmarking? It is used for measuring timing complexity for various algorithms and part of ...
