Performance: Adventures in Thread-per-Core Async with Redpanda and Seastar

Thread-per-core programming models are well known in software domains where latency is important. Pinning application threads to physical cores and handling data in a core-affine way can yield impressive results, but what is it like to build a large scale general purpose software product within these constraints?

Redpanda is a high performance persistent stream engine, built on the Seastar framework. This session will describe practical experience of building high performance systems with C++20 in an asynchronous runtime, the unexpected simplicity that can come from strictly mapping data to cores, and explore the challenges & tradeoffs in adopting a thread-per-core architecture.


John Spray

Storage Engineering Lead, Formerly Redpanda, Inktank (Ceph), Whamcloud (Lustre)

John leads the storage team at Neon, building the persistent storage services behind Neon's serverless Postgres platform. His background is in high scale data-intensive systems, spanning filesystems (Ceph, Lustre), streaming (Redpanda) and databases (Neon). He enjoys writing performant Rust and C++, with a particular focus on the tradeoffs in turning high performance designs into systems that are robust at scale.

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Wednesday Mar 29 / 11:50AM BST ( 50 minutes )


Whittle (3rd Fl.)


performance latency streaming case study


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