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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.
C/C++ function instrumentation (AOP, exception/stack tracing, GC)
Libinstrument is a complete and easy way to do custom function instrumentation for C/C++. The project comes ready with classic applications of instrumentation, such as AOP (Aspect Oriented Programming), Concern and Side Effect injection, stack tracing, exception tracing, basic time profiling, callgraph profiling and other. A GC (Garbage Collector) module is also under development.
Libinstrument is highly portable and decoupled.
A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.
JSysmon is a Java library providing access to system information like CPU or Memory usage on various platforms using native calls. It can be used to build cross-platform monitors in your applications.
JMonitoring and NMonitoring are monitoring frameworks for Java and .Net applications, based on AOP (AspectJ and AspectDNG). Data are stored in database, memory or XML and can be consulted with a web console. http://forge.octo.com/confluence/display/JMO
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.