The latest News and Information on Continuous Integration and Development, and related technologies.
When creating an application, developers often rely on many different tools, programs, and people. This collection of agents and actors involved in the software development lifecycle (SDLC) is called the software supply chain. The software supply chain refers to anything that touches or influences applications during development, production, and deployment — including developers, dependencies, network interfaces, and DevOps practices.
Web and browser technology continues to advance, narrowing the gap between the performance of web and native applications. Features that were once exclusive to native applications can be implemented in web applications. This is due in part to the emergence of progressive web applications (PWAs). Web applications can now be installed, receive push notifications, and even work offline.
Organizations are becoming more aware of the advantages of upgrading their continuous integration and continuous delivery (CI/CD) pipelines and moving them to the cloud, from lowering infrastructure costs to eliminating security threats. But carrying out a transfer is challenging, especially when a variety of platforms and technologies are involved.
Continuous Integration and Continuous Delivery (CI/CD) is perhaps best represented by the infinity symbol. It is something that is constantly ongoing, new integrations are rolled out while not interrupting the flow of information that is already running, as to stop systems in order to update them can be costly and inefficient. In order to ensure that you can successfully implement the latest builds into your system, it is important to know how well they will run alongside the components that are already installed and where there may be bottlenecks.
GitHub Actions provides tooling to automate and manage custom CI/CD workflows straight from your repositories, so you can build, test, and deliver application code at high velocity. Using Actions, any webhook can serve as an event trigger, allowing you, for example, to automatically build and test code for each pull request. Datadog CI Visibility now provides end-to-end visibility into your GitHub Actions pipelines, helping you maintain their health and performance.
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One difficult challenge in the software development cycle is increasing the speed of development while ensuring the quality of the code remains the same. The data world has adopted software development practices in recent years to test data changes before deployment. The testing process can be time-consuming and prone to unexpected errors.