Do you have developers constantly complaining about slow builds and tests, despite them using the latest hardware? Parallelizing the builds and tests across available resources is the answer, but open source tools don't scale across teams or manage complex dependencies.
What if you had a way to automatically parallelize your workloads across all your infrastructure that also gave you the visibility to easily find and fix problems?
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Radically shorten development and feedback cycles by intelligently distributing builds and tests across clusters of physical or cloud CPUs.
Up to 20X faster builds on Android AOSP, Linux and VisualStudio
Automatically manage dependencies and correct conflicts
Eliminate redundant work
Fault-tolerant workload distribution and dynamic resource provisioning optimally uses local, network, cloud and ephemeral resources.
Safely scale across projects and teams
Optimize local, network and cloud infrastructure
Accurately predict capacity needs
Advanced analytics and visibility to visualize bottlenecks, build integrity and infrastructure utilization.
Easily pinpoint - and eliminate - problems
Accurately predict and control build speeds
Analyze loads and safely reprioritize jobs
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Automatic dependency management and conflict correction fixes problems on the fly
Fault-tolerant workload distribution optimally uses local, network or cloud resources
Intelligent caching eliminates redundant work through build avoidance