Problems that are difficult to solve or ones that are missed by automated test, slow down CI/CD cycles, impact quality and put strain on developers, testers and DevOps.
We have built the first Dev/Test forensics solution that automatically detects, triages and speeds-up resolution of failures. The underlying technology uses unsupervised machine learning to structure logs and metrics so we can show you what's normal and what's not.
Being told a test passes or fails is not enough. We highlight and categorize symptoms, regressions and known issues and group failures that share the same root cause. We even uncover potential new issues missed by automated test.