The critical challenge facing Financial Services companies: long cycle times on a myriad of supported platforms
The above challenges directly impact the delivery cycle time—your developers are frustrated waiting for tests to be run on various platforms to validate their changes.
Radically accelerate your delivery velocity
Facebook pioneered the predictive test selection approach, and Launchable's Predictive Test Selection product has made the approach turn-key and accessible to every team. Launchable’s technology uses ML to predict which tests are likely to fail in your test suite based on the commits coming in. This pragmatic risk-based approach to testing gives another dimension (test execution times) to reduce the cost of testing without impacting either quality or speed of delivery.
Developers can use the subset to shorten test suites runtimes, radically improving feedback time. This reduction can be made across all the platforms being tested. Faster feedback time leads to shorter dev loops, speedier delivery, and happier developers.
All this while reducing the infrastructure spend on testing. Lower costs while delivering high-quality code and higher velocity means leaders can efficiently allocate dollars elsewhere.
Teams often want to test earlier in the cycle, e.g., run post-merge tests during pre-merge. They create static smoke tests, often missing critical failures because these tests are not representative of incoming code commits. Running the entire suites earlier is not an option due to prohibitively high testing costs.
These teams can use Launchable to shift tests earlier in the development cycle because Launchable enables dynamic smoke tests. The approach helps developers find failures fast, iterate faster, and release software confidently while using the testing budget most efficiently.
Several teams have added pressure to move to microservices to modernize monolith applications. Launchable offers existing developers more time because we have reduced their development time on the existing technology stack. This time can be used elsewhere, like modernizing the application.