ruvnet/claude-flow
Claude-Flow is an enterprise-grade AI orchestration platform that enables deployment and coordination of intelligent multi-agent swarms and autonomous workflows for building advanced conversational AI systems.
Awesome AI Agents › AI Agent Orchestration
uber-common/jvm-profiler
Uber JVM Profiler is a Java Agent designed to collect and report various JVM metrics and stack traces for distributed Hadoop and Spark JVM processes. It supports profiling CPU, memory, IO metrics, garbage collection, thread metrics, and more, enabling users to monitor and debug resource usage and performance bottlenecks across multiple processes and machines. The profiler can trace arbitrary Java methods and their arguments without requiring changes to user code, which is useful for identifying latency issues and hot files in distributed applications like Spark. It is initially created for profiling Spark applications but is generic enough to be used with any JVM process. The profiler supports multiple output reporters including console output, file output, Kafka, Redis, and InfluxDB, allowing flexible integration with monitoring and alerting systems. It can be run with Spark, standalone Java applications, executable jars, Tomcat servers, and Spring Boot applications by attaching the Java agent with appropriate configuration parameters. The profiler supports sending metrics to Kafka topics for centralized collection and analysis. It offers features such as memory usage debugging (heap, non-heap, native memory, memory pools, buffer pools), CPU usage and garbage collection time monitoring, duration profiling of arbitrary methods, argument profiling, stack trace sampling with flamegraph generation, IO metrics, and JVM thread metrics. Users can configure the profiler via command line parameters or YAML configuration files, specifying reporter classes, metric intervals, profiling targets, sampling intervals, and output destinations. The project includes detailed examples and documentation for building, running, and configuring the profiler in various environments. Overall, Uber JVM Profiler is a powerful and flexible tool for JVM performance monitoring and profiling in distributed big data environments.
https://github.com/uber-common/jvm-profiler
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