Continuous Delivery is a safe and reliable practice in software development that automates new releases of codes into either testing or production pipelines.
Developers use this pipeline to inject changes in the software registry in both large distribution and scalable portions through automation and scripting.
What is the relationship between the CI/CD and Continuous Delivery?
Continuous delivery, referenced from CI/CD is an automated method that produces application scripts in various stages of software production.
Continuous integration, known as CI allows developers to build codes on applications, test them, and collectively store them into a code container (repository). This practice helps solve possible conflicts of programs in the software production lifecycle.
Continues Deployment (CD) is an automation process in the production stage. It defines acceptable methods used in the deployment of software programs into the pipeline in a safe way while upholding its quality and suites.
What are some of the differences between Continuous Deployment and Continuous Delivery?
These two concepts are essential in software development; each relies on automation technology to process the codes on their respective pipelines. Regardless of the similar features, the approach to these tools achieves different results.
Continuous Delivery is a commonly used automation tool by development teams continuously to fix bugs and apply code changes to applications. The code changes are tested regularly, debugged, and released into the production environment by the operations unit. This stage fills the gaps and removes high-risk issues identified between the business and development teams. It is the sensitive stage of streamlining the production process and releasing the codes safely and timely without affecting the customer experience.
While Continuous Delivery makes code release to production faster, Continuous Deployment alternatively describes the steps of how to inject the new application from the repository to the production stage for the user’s consumption. The platform is also automated and coherently has helped developers eliminate operation overload, human interference, and delayed release of new software and applications. It is a buildup of the gains realized from the Continuous Delivery stage.