Seastar is an advanced, open-source C++ framework for high-performance server applications on modern hardware. Seastar is used in Scylla, a high-performance NoSQL database compatible with Apache Cassandra. Applications using Seastar can run on Linux or OSv. Seastar is the first framework to bring together a set of extreme architectural innovations, including: Shared-nothing design: Seastar uses a
SEDA: An Architecture for Highly Concurrent Server Applications Matt Welsh, Harvard University Last updated 9 May 2006 My Ph.D. thesis work at UC Berkeley focused on the development of a robust, high-performance platform for Internet services, called SEDA. The goal is to build a system capable of supporting massive concurrency (on the order of tens of thousands of simultaneous client connections)
June 11, 2013 Volume 11, issue 5 PDF Nonblocking Algorithms and Scalable Multicore Programming Exploring some alternatives to lock-based synchronization Samy Al Bahra, AppNexus Real-world systems with complicated quality-of-service guarantees may require a delicate balance between throughput and latency to meet operating requirements in a cost-efficient manner. The increasing availability and decr
Clojure's Journey: From Simplicity to Enterprise Maturity Jordan Miller discusses the evolution of the Clojure ecosystem, from Rich Hickey's initial vision tackling complexity to its current status as a mature enterprise solution. He explains key philosophies, highlights pivotal moments like the "Simple Made Easy" talk, and showcases the vibrant Clojure community and its innovative tools.
LMAX is a new retail financial trading platform. As a result it has to process many trades with low latency. The system is built on the JVM platform and centers on a Business Logic Processor that can handle 6 million orders per second on a single thread. The Business Logic Processor runs entirely in-memory using event sourcing. The Business Logic Processor is surrounded by Disruptors - a concurren
Effective Practices for Coding with a Chat-Based AI In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s workflow. We introduce a practical approach to staying in control while working with these tools by adopting key best practices from the discipline of software architecture, including defining an implementation plan, splitting ta
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Research Blog: A Runtime Solution for Online Contention Detection and Response