What are async queue bottlenecks and how can I identify them?
Async queue bottlenecks occur when tasks in an asynchronous queue take longer to process than expected, causing delays. You can identify them by monitoring queue length, processing time, and system resource usage.
What tools can I use to monitor these bottlenecks?
You can use tools like Prometheus, Grafana, or APM solutions like New Relic and Datadog to monitor queue performance.
How can I optimize my async queue to reduce bottlenecks?
To optimize your async queue, consider increasing worker instances, adjusting task priorities, and implementing rate limiting.
Are there common causes of async queue bottlenecks?
Yes, common causes include slow database queries, network latency, and insufficient resources allocated to processing tasks.
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