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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.
A model-based test automation framework for GUI applications
This framework supports a wide variety of model-based GUI testing techniques. The innovation lies in the architecture of GUITAR, which uses plug-ins to support flexibility and extensibility. Software developers and quality assurance engineers may use this architecture to create new toolchains, new workflows based on the toolchains, and plug in a variety of measurement tools to conduct GUI testing.
More detail is presented in this publication:
GUITAR: An Innovative Tool for Automated...
ebizzy is designed to generate a workload resembling common webapplication server workloads. It is highly threaded, has a large
in-memory working set, and allocates and deallocates memory
frequently.
This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
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