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CI/CD is a great practice for your DevOps teams to apply. It enables your software development teams to focus on meeting your business requirements, checking code quality, and ensuring security, because selected deployment steps are automated.
Do you want your software development team to stay focused on supplying error-free code at a high velocity? Do you want to permit rapid product succession, avoid manual bugs, and provide systematized development feedback cycles?
CI/CD converts the shared effort into automated processes. Thus, once your application is built, it passes full test coverage and proceeds to quick zero-downtime deployment. A fast and reliable CI/CD pipeline is crucial for your sustainable growth.
Continuous integration, delivery, and deployment, or CI/CD, is an essential part of the modern approach to the software development process. It reduces errors during integration and deployment and increases project velocity. By implementing these ideas into your practices, you can reduce the time required to integrate changes for a release and test each update before moving it into production.
The CI/CD pipeline automates your software delivery processes. The pipeline builds your code and then it runs tests (CI), followed by safe deployment of a new version of your application (CD).
Automated pipelines remove manual bugs, provide unified feedback loops to your developers, and permit fast product releases.
Speeds up the release process by enabling teams to detect and fix errors earlier in the development process. It gives a possibility of collaboration between developers – making it a crucial practice for agile teams.
Means you have the ability to regularly move integrated code to production. It means that your builds are ready to go live in only one click, in case you want to release them.
Is a step further since it allows automatic deployment of every main branch change that passes successfully the continuous deployment.
Progressive DevOps automation with proven CI/CD best practices. ITGix provides end-to-end solutions of any complexity.
Our main tools of choice are Gitlab and Jenkins. We tend to use Gitlab whenever it’s an option to also store the application code in the git repository of Gitlab, as the pipelines are directly connected to the code storage. You need to have your gitlab-ci.yml file in the repository where the pipeline is defined in a declarative manner. Declarative pipelines is the recommended format of a pipeline file that allows for simplicity and makes it easy for everyone to read, follow and troubleshoot if necessary. We use Jenkins for more complex deployments where there might be different repository sources from different locations, complex trigger mechanisms not only git actions (e.g. Gitflow is not followed) – like scheduled deployments , processes that require approval prior to change and limiting users that could execute certain deployments. Jenkins uses Groovy as a pipeline language which allows extra flexibility in using scripted pipelines that, however they’re more hard to maintain, for this reason the latest Jenkins versions also provide a declarative pipeline syntax option.
As a DevOps company working with many partners we’ve seen all kinds of requirements and use cases. We’ve described some honorable mentions in our success stories.