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Dynamically observable thread pool framework to improve online operation guarantee capabilities for business systems.
Dynamically change thread pool parameters when the application is running, including not limited to core, maximum thread, blocking queue size, and rejection strategy, etc., and support different node thread pool configuration differentiation under the application cluster.
Buried when the application thread pool is running, it provides four alarm dimensions, such as thread pool overload, blocking queue capacity, running too long, and rejection policy alarms, and supports non-repeated alarms within a custom time.
It supports user-defined duration thread pool operation data collection and storage, and also supports Prometheus, InfluxDB and other collection and monitoring, and provides visual large-screen monitoring and operation indicators through Grafana or the built-in monitoring page.
Features
- Global Control - Manage application thread pool instances.
- Dynamic change - dynamically change thread pool parameters when the application is running, including but not limited to: core, maximum number of threads, blocking queue capacity, rejection strategy, etc.
- Notification alarm - built-in four alarm notification strategies, thread pool activity, capacity water level, rejection strategy and task execution time is too long.
- Data collection - supports multiple ways to collect thread pool data, including but not limited to: logs, built-in collection, Prometheus, InfluxDB, ElasticSearch, etc.
- Operation monitoring - view the runtime data of the thread pool in real time, and display the thread pool operation data chart within a custom time.
- Function extension - support thread pool task transfer context; when the project is closed, it supports waiting for the thread pool to complete the task within the specified time.
- Multiple Modes - There are two built-in usage modes: Dependency Configuration Center and No Middleware Dependency .
- Container management - Tomcat, Jetty, Undertow container thread pool runtime viewing and thread number change.
- Framework adaptation - Dubbo, Hystrix, RabbitMQ, RocketMQ and other consumer thread pool runtime data viewing and thread number change.
- Change audit - Provides various user roles, ordinary users need to be audited by the Admin user to change the thread pool parameters to take effect.
- Dynamic plug-ins - Built-in various thread pool plug-ins, support user-defined plug-ins and runtime extensions.
- Multi-version adaptation - After actual testing, the client SpringBoot 1.5.x => 2.7.5 version has been supported (higher versions have not been tested).
Project Samples
