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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Performance test engine written in Java and exposed as a fluent API for writing JUnit tests.
Perftence can also be used without JUnit by using perftence-api distribution package.
Full test results are provided in html, which can published directly with different CI's (e.g. Jenkins/Hudson).
Runtime test statistics are also provided through logging (e.g. using slf4j-log4j and log4j).
This project provides runtime performance monitoring and reporting for Java applications. It includes a simple API with timers and counters, data persistence, support classes and aspects (AspectJ & Spring AOP), and a reporting web application.