Best Build Automation Tools for Digital.ai Release

Jenkins, the most popular open-source automation server, provides hundreds of plugins that can be used to build, deploy, and automate any project. Jenkins is an extensible automation server that can be used to create CI servers or become the continuous delivery hub for any project. Jenkins is a Java-based program that can be run straight out of the box. It includes packages for Windows, Linux and macOS, as well as other Unix-like operating system packages. Jenkins is easy to set up and configure via its web interface. It also includes built-in help and on-the-fly error checking. Jenkins can be integrated with almost every tool in the Continuous Integration and Continuous Delivery toolchain thanks to the hundreds of plugins available in the Update Center. Jenkins' plugin architecture allows for almost unlimited possibilities. Jenkins makes it easy to distribute work across multiple machines. This helps drive builds, tests, and deployments across multiple platforms more quickly.

Bamboo provides first-class support for continuous delivery. Bamboo's deployment projects take the tedious work out of releasing into each environment and allow you to control the flow using per-environment permissions.

CI hosted on the cloud or on a dedicated server can automate your development process.

Gradle, Inc. includes the Gradle Build Tool and Develocity (formerly Gradle Enterprise). These tools are used to speed up and debug builds, tests, and other tasks for Maven, Gradle, Bazel, and sbt. Gradle Build Tool is the most used tool to build open-source JVM projects on GitHub. It is downloaded on average more than 30 million times per month, and was included in TechCrunch's Top 20 Most Popular Open Source Projects. Many popular projects have moved from Maven to Gradle. Spring Boot is one of them. Develocity is the only platform that combines software build performance acceleration with analytics. It is used by the most prestigious software development companies around the world to reduce build times by half and give developers back one week of lost productivity time. Acceleration technologies speed up the software development and testing process. Data analytics (Failure Analytics Trends & Insights), make troubleshooting easier.