The first Seastar Summit will be held on November 4, 2019, colocated with Scylla Summit 2019. Tickets for the full-day event are available via Eventbrite.
Interested in contributing code to a framework that provides Scylla and other programs with high-throughput I/O and networking? The Scylla team is pleased to announce that the Seastar framework has been accepted as a Google Summer of Code organization. Google Summer of Code with the Seastar project provides students with the opportunity to spend their summer break contributing to an awesome open source project, work under the mentorship of dedicated, brilliant engineers, and in addition receiving a stipend when the project milestones are met.
Seastar provides a programming environment that abstracts away most of the problems of multi-threaded programming using a thread-per-core model. Locks, atomic variables, memory barriers, lock-free programming, and all of the scaling and complexity that come from them are gone. In their place, Seastar provides a single facility for inter-core communications. This is, of course, great for the developer, who can easily utilize many-core machines, but there is also another side: because Seastar takes care of all inter-core communications, it can apply advanced optimizations to these communications.
This article examines these optimizations and some of the complexity involved.
This is a cross-post from https://www.alexgallego.org/concurrency/smf/2017/12/16/future.html. On June 8, 2016, Avi Kivity came to NYC to present ScyllaDB. During his search for a quick open desk to do some work, I volunteered open spaces we had at Concord1. We talked lock-free algorithms, memory reclamation techniques, threading models, Concord and distributed streaming engines, even C vs C++. Five hours later I was convinced that Seastar was the best systems framework I’d ever come across.
Today, we are releasing Seastar, a new open-source C++ framework for extreme high-performance applications on OSv and Linux. Seastar brings a 5x throughput improvement to web-scale workloads, at millions of transactions per second on a single server, and is optimized for modern physical and virtual hardware.