Best Free Build Automation Tools

Automate your builds and deployments with Pipelines so you spend less time with the nuts and bolts and more time being creative. Get cloud-hosted pipelines for Linux, macOS, and Windows. Build web, desktop and mobile applications. Deploy to any cloud or on‑premises. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Easily build and push images to container registries like Docker Hub and Azure Container Registry. Deploy containers to individual hosts or Kubernetes. Explore and implement a wide range of community-built build, test, and deployment tasks, along with hundreds of extensions from Slack to SonarCloud. Implement continuous delivery (CD) of your software to any cloud, including Azure, AWS, and GCP. Visualize deployment to any number of interdependent stages.

Automating your workflow can be achieved by using pipelines as they are the heart of the CI process in Microtica. The build process of every component and microservices, whether it’s triggered manually or automatically, is done in a pipeline. The build process is defined by a single source of truth, a microtica.yaml file in the root folder of the repository. With user customizability as a key feature, every user is able to define how their build process is done and what commands are ran by changing the microtica.yaml file.

Gradle Inc. is the company behind the leading software solution for improving developer productivity and happiness called Develocity (formerly Gradle Enterprise) and the popular open-source Gradle Build Tool, which is downloaded over 30 million times a month. Gradle is also pioneering the emerging practice of Developer Productivity Engineering (DPE). Elite development teams from companies like Airbnb, LinkedIn, Microsoft, Nasdaq, and Netflix, practice DPE to deliver quality software more rapidly at scale. They achieve this by leveraging Develocity’s innovative build and test performance acceleration technologies and analytics to proactively improve the reliability of the developer toolchain and make failure troubleshooting more efficient.