opengoofy/hippo4j

Features

• Centralized Configuration Management - Manages all thread pool instances through a single control plane with real-time parameter synchronization.
• Thread Pools - Manages consumer thread pools for Dubbo, Hystrix, RabbitMQ, and RocketMQ at runtime.
• Centralized Thread Pool Managers - Manages all application thread pool instances from a centralized interface for unified oversight.
• Consumer Thread Pool Managers - Manages consumer thread pools for Dubbo, Hystrix, RabbitMQ, and RocketMQ at runtime.
• Dynamic Thread Pool Adjusters - Adjusts thread pool parameters like core size, max size, and queue capacity at runtime without restart.
• Dynamic Thread Pool Proxies - Intercepts thread pool method calls to apply runtime parameter changes without restart.
• Thread Pool Monitors - Collects and visualizes real-time and historical metrics for Java thread pool instances.
• Dynamic Thread Pool Managers - Provides centralized management and live adjustment of thread pool parameters across distributed applications.
• Parameter Adjustment Mechanisms - Adjusts thread pool parameters like core size, max size, queue capacity, and rejection policy without restarting.
• Resizing Mechanisms - Resizes thread pools by changing core and maximum size parameters at runtime without restarting.
• Runtime Resizing Mechanisms - Enables live modification of core size, max size, queue capacity, and rejection policy without restart.
• Thread Pool Context Propagators - Carries thread-local context across tasks and waits for task completion within a timeout during shutdown.
• Container Thread Pool Adapters - Exposes Tomcat, Jetty, and Undertow thread pools for runtime monitoring and adjustment.
• Container Thread Pool Adjusters - Views and adjusts thread counts for Tomcat, Jetty, and Undertow container thread pools at runtime.
• Plugin-Based Thread Pool Extensions - Attaches custom logic to thread pool execution, including context propagation and graceful shutdown.
• Task Execution Customizers - Adds custom logic such as context propagation to tasks executed by the thread pool.
• Admin Approval Workflows - Requires admin approval before a regular user's thread pool parameter changes take effect.
• Alerting Systems - Sends configurable notifications when thread pool metrics exceed thresholds for capacity or performance.
• Anomaly-Based Alerting - Triggers notifications when thread pool activity, capacity, rejections, or execution time exceed thresholds.
• Change Approval Workflows - Implements an approval-based workflow that requires admin authorization before thread pool changes apply.
• Container Thread Pool Controls - Exposes Tomcat, Jetty, and Undertow thread pools for live monitoring and adjustment.
• Dashboard Displays - Displays live and historical thread pool runtime data through charts and dashboards.
• Historical Metrics Tracking - Displays real-time and historical thread pool data, including recent half-hour charts.
• Multi-Sink Metrics Pipelines - Routes thread pool runtime data to logs, Prometheus, InfluxDB, or ElasticSearch simultaneously.
• Plugin Frameworks - Ships an extensible plugin system for adding context propagation and graceful shutdown to thread pools.
• Thread Pool Anomaly Alerters - Sends notifications when thread pool activity, capacity, rejections, or execution time exceed thresholds.
• Thread Pool Change Approvals - Requires admin approval before thread pool parameter changes take effect in production.
• Thread Pool Execution Plugins - Attaches custom logic like context propagation and graceful shutdown via a configurable plugin pipeline.
• Thread Pool - Sends notifications based on built-in alarm policies when thread pool metrics exceed thresholds.
• Event-Driven Alerting - Triggers notifications based on configurable thresholds for thread pool activity, capacity, and rejections.
• Thread Pool Metric Sinks - Routes thread pool runtime data to logs, Prometheus, InfluxDB, or ElasticSearch simultaneously.
• Thread Activity Monitors - Displays real-time metrics such as active threads and queue size for each thread pool instance.
• Monitoring - Dynamic and observable thread pool framework.

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