Take a peek at the new challenges teams in the DevOps landscape will be facing in the new year.

Launchable Co-founder, Harpreet Singh gained more than just a beautiful view after climbing to Everest Basecamp, he earned an understanding of what it takes to not only reach the heights of Everest but even greater heights in his career.

Predictive test selection is a way of using machine learning to choose the highest value tests to run for a specific change.

We’ve given you everything you need to make sure your DevOps teams avoid any holiday hangover, all in one place! Check out our best insights, product updates, and advice to help your teams launch into 2022 with higher velocity.

We're celebrating our two-year anniversary and our mission to make your pipeline data-driven and smarter through code and test metadata to find the tests most likely to fail based on code commits.

As Launchable's first VP of Sales, Mark Ho looks to help further the evolution of DevOps culture and the tools that are used within it.

The next evolution of tools are smarter, AI powered test automation solutions that focus on reducing integration testing times in three ways: shift left, smoke tests, and shift right.

Unit testing offers an opportunity to speed up development cycles. Using machine learning, Launchable ranks unit tests for each code change and allows you to create a unique subset based on this ranking.

Data-driven DevOps teams can leverage their own data to improve the CICD pipeline with the help ofAI.

The November update includes new Demo Workspace, new dashboard updates including new the Subset Request Summaries and your workspace’s Comprehensive Curve. Lastly, customers with custom-built test runners can use Launchable’s CLI with the new raw profile.

The Changelog compiles announcements on new Launchable updates, features, and functions in one place. Find specific changelog details by sorting via category (WebApp, CLI, Insights, etc), or in chronological order by month.

The next evolution of DevOps automated testing tools is advancing the intelligence of the tools, making them smarter by utilizing AI and machine learning. Maturing their automation capabilities, the next phase in these tools will take the processing of tests to a new level by also prioritizing test suites further speed up test runs.