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Stop Slamming Downstream Services: Singleflight Request Coalescing with Java Virtual Threads

Stop Slamming Downstream Services: Singleflight Request Coalescing with Java Virtual Threads Virtual threads solved your JVM I/O bottlenecks, but downstream internal services are now on fire because 50,000 concurrent threads are fetching the exact same cache miss simultaneously. You do not need distributed locks or larger database instances; you need the Singleflight request coalescing pattern…

Virtual threads revolutionized Java I/O performance, but they introduced new challenges downstream. When countless virtual threads simultaneously request the same cached data, it leads to an overwhelming load on internal services. The solution lies in implementing the Singleflight request coalescing pattern within the JVM, rather than relying on distributed locks or larger database instances.

Most developers mistakenly reach for Redis or synchronized blocks, which only exacerbate the problem. Properly leveraging the Singleflight pattern within the JVM ensures efficient, scalable handling of high-throughput services.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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One rounding, not many: why a provably-fair verifier must match the server bit for bit

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