Handling High-Volume Asynchronous Workloads
Handling High-Volume Asynchronous Workloads

Handling High-Volume Asynchronous Workloads

Author
Shiv Bade
Tags
async
distributed systems
worker queues
latency
Published
October 15, 2013
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One challenge I tackled in late 2013 was scaling a job processing pipeline under unpredictable spikes.
What worked: - Introduced multi-priority queues using durable brokers - Batched writes to avoid write amplification - Monitored latency percentiles (not just averages)
We also implemented exponential backoff for retries—concepts later popularized in Google SRE practices.
Lesson: async design isn't just about throughput—it’s about predictability and graceful degradation.