When Pinterest’s engineering team built their asynchronous job processing platform called Pinlater a few years ago, it seemed like a solid solution for handling background tasks at scale.

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Pinterest rebuilt their asynchronous job processing platform from Pinlater to Pacer to handle billions of daily tasks. The original system suffered from database lock contention, lack of queue isolation, and inefficient sharding. Pacer introduced dedicated dequeue broker services managed by Helix, eliminated lock contention through single-broker partition ownership, implemented in-memory caching for sub-millisecond latency, adopted adaptive sharding based on queue size, and isolated worker pods on Kubernetes with custom resource allocations per queue.

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