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Test Gaps Can Lead to Undetected Defects
Automated tests are an industry standard for software products nowadays. In the past, it was necessary to have a tester try out functionality manually — they had to click through an application for hours or even days to ensure that everything worked according to requirements. Today, testing teams have moved to scripting all the tests, so they could run automatically every time a new version had to be released. Today, testing times even for complex applications have decreased from weeks to minutes.
Engineering Best Practices of CI Pipelines
Before the popularity of microservices architecture, developers had to build and deliver large software applications as single entities. Today a number of smaller applications are used simultaneously, each one focusing on a single aspect of business functionality. With smaller applications and teams with members with diverse backgrounds often working remotely, increased collaboration and reduced barriers between teams are essential features of an effective production environment.
Using DORA Metrics to Optimize CI Pipelines
In today’s highly competitive atmosphere, responding to rapidly changing market demands can only be possible by maintaining software at high quality and high availability. Keeping user experience at the uttermost is only possible through continuously delivering quality software at speed. We will highlight three of the DORA metrics that can help to improve the performance of continuous integration (CI) pipelines when monitored proactively.
8 GitHub Actions for Setting Up Your CI/CD Pipelines
Many individuals, organizations, and open source projects moved their CI/CD pipelines to GitHub since GitHub Actions was announced in 2018. They enable users to automate workflows and create various automation, build development cycles and, of course, create CI/CD pipelines. GitHub actions are event-driven, and this is perhaps the best part of it. You can trigger actions to run on-demand workflows by your events in a GitHub repository.
The Missing Part of GitHub Actions Workflows: Monitoring
Having clear visibility into a continuous integration (CI) pipeline is more important than before in order to sustain health and performance in the development life cycle. Development teams tend to develop more securely and comfortably when they know the success/failure rate, duration and cost of their CI workflows at a high, granular level. When issues are solved in preproduction, you automatically reduce production defect and recessions.
Continuous Integration Observability Explained
Continuous integration (CI) is a DevOps practice whereby code contributed by engineers is integrated into a project frequently and automatically. CI involves the use of a shared version control system (VCS), which is usually accompanied by other tools (including testing tools,) to manage source code. Engineers push code changes using the shared VCS; the code is then reviewed and tested before the build process is completed. This entire process is automated to maximize speed and performance.
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