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1–16 of 16 · Most stars

A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)

Production-safe dynamic tracing and diagnostics for Java applications—attach to live JVMs with no restart or recompilation.

  • btrace
  • java
  • bytecode-instrumentation
  • diagnostics

An extensible Java library for HTTP request and response logging

  • java
  • http-logs
  • spring-boot-starter
  • plugin-extension

🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.

Minimalist Java framework for rapidly creating scalable, containerless, RESTful microservices. Ship a production-quality, headless, RESTful API in the shortest time possible. Uses Netty for HTTP, Jackson for JSON, Metrics for metrics, properties files for configuration. Sub-projects and plugins enable, NoSQL, Swagger, Auth0, HAL integration, etc.

Automon combines the power of AOP (AspectJ) with monitoring or logging tools you already use to declaratively trace and monitor your Java code, the JDK, and 3rd party libraries.

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.

  • data-ops
  • data-quality
  • data-quality-checks
  • data-quality-measurement

✨ The best JVM observability, troubleshoot, and optimize. 🚀 Unlock deep insights instantly via our dashboard, CLI and Harness. 📊

Spring Boot starter available via JitPack and GitHub Releases, with an Actuator endpoint for identifying used, unused, and indeterminate starters at runtime.