GoKawiilDeveloper details double-buffered queue pattern built on Cloudflare Workers and R2
A technical write-up describes a telemetry pipeline that uses two alternating Cloudflare Queues, switched via modulo arithmetic on UTC timestamps, to continuously capture events without interrupting ingestion. An hourly consumer task drains the inactive queue, compresses the batched events, and writes them to Cloudflare R2 using a partitioning scheme based on time.
GoKawiil's interpretation of the reporting above, not reported fact.
The approach illustrates how developers can combine Cloudflare Workers, Queues, Workflows, and R2 to build a low-cost, serverless data pipeline without running dedicated streaming infrastructure like Kafka. By avoiding daylight-saving complications through UTC-based routing and minimizing storage costs via compression and partitioning, the pattern could serve as a reusable template for teams handling high-volume telemetry on Cloudflare's platform.
- Pattern uses two alternating queues to avoid data loss during batch draining
- Hourly consumer tasks compress and store batches in R2 with time-based partitioning
- Design relies on UTC timestamps and modulo math to sidestep daylight-saving issues
Source: bellone.com, 2026-10-28
Published there as: “Double Buffering with Cloudflare Queues”
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