Datadog announced the acquisition of Propolis, a QA testing platform that specifically tackles goal- and output-oriented testing.
According to the vendors, by combining Propolis with Datadog’s deep production context—including traces, logs, and Real User Monitoring (RUM) data—creating a solution to truly automate testing end-to-end.
Propolis’ agents explore a users’ application and automatically identify real user journeys and goals. Using swarms of synthetic users to test and verify successful outcomes across complex, nondeterministic, or even agentic user journeys and dynamic environments, Propolis can catch errors that traditional tools miss.
It then autonomously self-heals these tests and keeps coverage up to date via subsequent runs and continuous test generation, removing the need for human intervention.
By integrating Propolis and Datadog, agents can infer user intent from how applications are used, not just how they were designed. Quality shifts from a slow pre-release gate to a continuous signal embedded in CI/CD and runtime, Datadog said.
The company will release more information soon on its progress as it works to bring Propolis’s features into Datadog.
For more information about this news, visit www.datadoghq.com.