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https://github.com/makiato1999/dynamic-threadpool

Spring Starter - Dynamic Thread Pool
https://github.com/makiato1999/dynamic-threadpool

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Spring Starter - Dynamic Thread Pool

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# Spring Starter - Dynamic Thread Pool

## Project Overview
The Dynamic Thread Pool Component Project is a practical solution for managing and optimizing thread pools in medium to large-scale applications. This project addresses the need for a flexible, centralized thread pool management tool that can dynamically adjust configurations, monitor performance, and streamline resource utilization. It’s a vital component for applications where managing thread efficiency is crucial, especially for IO-bound and CPU-bound workloads.

## Key Features
- **Thread Pool Monitoring**: Provides real-time insights into core metrics, including core threads, max threads, active threads, queue type, queue task count, and remaining capacity.
- **Dynamic Configuration Adjustments**: Enables on-the-fly modifications of core and maximum thread counts, along with task queue management, allowing applications to respond effectively to changing demands.
- **Centralized Registration with Redis**: Uses a Redis-based registration center to maintain a unified management system for dynamic thread pools across various applications.
- **Real-Time Updates via Redis Publish-Subscribe**: Utilizes Redis’s pub-sub mechanism to instantly push configuration changes to connected applications, enabling immediate adjustments and consistent performance.
- **Integrated Scheduling and Monitoring**: Embeds scheduled tasks within the component to track and manage thread pool health without hardcoded dependencies, promoting flexibility and maintainability.
- **Frontend Management Interface**: Includes a simple UI to manage and visualize thread pool configurations, making it easy to oversee and control thread usage.

The Dynamic Thread Pool Component Project is designed to be a robust and reusable solution that can be integrated into any business application. It provides a solid foundation for efficient thread management, enhancing application performance and resource utilization across different environments. This project demonstrates industry-standard practices and showcases a highly applicable skill set for advancing in tech careers.