Life is short. Make more time.
Accelerate software development cycles by
safely parallelizing builds and tests across a cloud of CPUs.
100% Accurate Parallelization
Learning system automatically discovers missing (or over-specified) build dependencies to provide 100% accuracy.
Take advantage of dedicated or shared resources to provide blazing performance on local or distributed builds.
Production-safe caching features enable the reuse of previous job output, dramatically reducing time and CPU requirements.
Priorities and resource pools give multiple teams fair access to centralized resources for incremental / full / developer / production builds.
Shares required libraries and tooling across static or dynamic resources to ensure reproducibility and correctness.
Analyze and visualize any build’s structure and runtime behavior to instantly identify bottlenecks and predict future performance.
Integrates with your existing tools
or unit tests
Real Results. Delivered.
“ElectricAccelerator has reduced our Android build times from 5 hours down to 5 minutes!”
Proven at Enterprise Scale.
Gartner recently named Electric Cloud as a ‘Leader’ in the Gartner Application Release Automation (ARA) Magic Quadrant.
Join us on this webinar featuring D3 Lead Software Engineer Scott Dunnington as we discuss D3’s search for an easy to use and scalable build accelerator.
JobCache lets a build avoid recompiling object files that it previously built if their inputs have not changed. JobCache works even after you clean the build output tree (for example, by using “make clean”).
This white paper breaks down the impact of slow builds and demonstrates how implementing automated dependency management systems can make parallel builds safe, scalable, and efficient.