OpenMake Meister® delivers an intelligent, accelerated and highly adaptable build management solution that decreases the time for full builds by over 50% and delivers accurate incremental builds in as quick as a few minutes. Meister provides the insight into the production readiness of your build by exposing all artifacts used during the compile/link step. Only Meister can provide this level of detail about your build results.
OpenMake Meister includes a Continuous Integration server with integrated server pooling that supports over 10,000 builds per day. Meister's Build Services are integrated into other CI solutions, such as Jenkins, giving you the flexibility needed to support the various requirements needed by multiple development teams.
Meister creates deployment packages and stores them in a binary repository in preparation for predictive deployments or on-demand deployments. Meister supports over 200 languages including Java, .Net, C#, C, C++, and database objects.
Manage Smaller Builds and Decrease Risk
Meister gives you the intelligence to manage your builds and releases in smaller, less risky increments. Through source and library dependency management, Meister allows you to build for incremental releases. Incremental processing is supported in most languages, including Java, C#, .Net, C++, and C-Unix.
Intelligent Control Over Low-Level Tasks
Meister is the only solution that gives you intelligent control over the low-level logic that is critical to driving your builds and deployments. Other Build Management solutions rely on one-off script-driven processes that impede the hand-off of operational tasks between development teams and IT operations. Through customizable and standardized build and deployment services, with Meister your build process becomes both highly repeatable and 100% predictable.
By directing, calculating, and managing software dependencies, Meister accelerates software compile/link activity, enabling teams to implement agile and fast-moving development processes. Builds are accelerated using parallel processing to multi-task compilers and linkers, taking full advantage of separate processors on multi-core machine hardware. With Meister, agile teams can achieve 10-minute-or-less incremental builds for most projects, ensuring that continuous integration and unit testing runs smoothly and efficiently for maximum benefit.
Insight Into DevOps
Meister provides team leads and managers with actionable build analytics, including summarized “success/fail” reports, impact analysis reports, and audit reports, enabling better software development decision-making. Meister Insight Reports document the dependencies, environment, and other critical information about a build or release. Managers can ask and answer important questions around the impact of specific code changes to drive accurate test and release practices. Meister can even embed footprint data in binaries, enabling teams to simplify the software support and maintenance process by accurately identifying the contents and origin of any software release.
Enterprise Scalability and Cross-Platform Support
Out of the box, Meister supports most popular languages running on cross platforms. Meister supports the building of cross platform and cross language applications including z/OS.
Build Inside or Outside of Your IDE
Meister integrates with IDEs, such as .Net and Eclipse, to repeat the IDE build outside of the IDE. This repeatability supports continuous integration builds, QA builds, and pre-production builds without the need for writing custom build scripts that often become out of sync with the IDE project and solution files. This repeatability allows developers to work inside their IDE without changing their work habits and simultaneously to build their software application outside the IDE consistently and in a predictable manner.
Support for Microsoft .Net Cross Solution Applications
For Microsoft developers, Meister can execute cross .Net solution builds, allowing Microsoft developers to write .Net applications that use cross-solution dependencies for large enterprise teams.