Developing software and deploying it are two sides of a coin. Be it in a UAT (User Acceptance Testing) environment or production, the developers enter a tedious phase while moving from development to testing and finally to deployment. Furthermore, releasing software updates and bug fixes is a constant process which when dealt with manually is cumbersome as well as unreliable.
Now, what if the entire software release process is automated? It saves time to market, delivers new features and updates faster, helps in adapting to market requirements quickly, and improves the infrequent movement of software updates from development to production. Is there a one-stop solution for all? This is where Amazon Web Services (AWS) CodePipeline comes into the picture.
Improving the software application and releasing it, are at the core of any successful IT company. Comprehending the need for an automated process for application deployment, AWS has launched their CodePipeline in 2015.
So, what does AWS CodePipeline do? It automates the software releasing process. It is a workflow management tool that can help you build, test, and deploy the updates into a test and then in production. Each time the code is changed, the change is passed over to the production without any hassles. The users can construct the workflow by using the AWS command line or by a graphical user interface.
As and when the CodePipeline encounters a bug or error, it halts the process thereby preventing the bugs from entering the environment.
AWS CodePipeline enables continuous integration and continuous delivery process (CI/CD) allowing the developer to quickly build the model, visualize, and deliver for any new features and updates. With AWS CodePipeline, you can perform the following:
The one sore point you can think of about the AWS CodePipeline is, it only saves the configuring process at the end. What it means is you can not take a break while you are modeling the workflow or stop it and do some other work and come back to it and finish it.