
Developed a distributed coordination mechanism for scheduled tasks in the hectorqin/hyperf repository, focusing on backend reliability and scalability. The work centered on implementing a Redis-based mutex to manage crontab task execution across multiple nodes, ensuring that each scheduled job runs only once per interval and eliminating race conditions in clustered environments. By introducing the Hyperf\Crontab\Mutex\RedisServerMutexByNodeName class, the solution leveraged PHP and Redis to provide a robust locking primitive with minimal overhead. This approach enabled safe horizontal scaling of cron workloads, improving the consistency and reliability of scheduled operations in multi-node PHP backend deployments.
February 2026 Monthly Summary for hectorqin/hyperf: Implemented distributed coordination for crontab tasks using a Redis-based mutex to prevent duplicate execution across multiple nodes, significantly reducing race conditions and improving reliability of scheduled jobs in a multi-node deployment. This work establishes a robust locking primitive for Hyperf Crontab and enables safe horizontal scaling of cron work.
February 2026 Monthly Summary for hectorqin/hyperf: Implemented distributed coordination for crontab tasks using a Redis-based mutex to prevent duplicate execution across multiple nodes, significantly reducing race conditions and improving reliability of scheduled jobs in a multi-node deployment. This work establishes a robust locking primitive for Hyperf Crontab and enables safe horizontal scaling of cron work.

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