In this technical deep dive, recorded at our last Aeron Meetup in London, Martin Thompson shares how a replicated state machine design can replace much of the complexity that accumulates in traditional microservice architectures.
For people new to Aeron who want a clear technical overview of where this tech fits and what it does. In 30 minutes, Aeron developers walk you through the open-source stack powering some of the most demanding workloads in capital markets: from market data distribution to order management, both on-prem and in the cloud.
Open capital markets data infrastructure with Aeron and QuestDB for low-latency trading, SQL analytics, and audit-ready replay.
Learn about Aeron 1.49.0 and 1.50.0 enhancements, incl. named Archive and Cluster clients, Aeron response channels over IPC, standalone C++ API removal and the benefits of Persistent Subscriptions; a new open-source feature.
CME’s accelerated Google Cloud move forces market makers to fast-track low-latency migration; Aeron closes the cloud performance gap with sub-20µs messaging.
Funding will accelerate our technical roadmap, driving performance innovations and cementing Aeron® as the open-source cornerstone of modern trading infrastructure.
We’ve re-tested Aeron on the latest AWS infrastructure, with performance improving by up to 70% for Aeron Transport and 64% for Aeron Cluster since our 2023 benchmarks. OS test harness and methodology are available.
While both Apache Kafka and Aeron Sequencer leverage a distributed log as a foundational component, their architectural philosophies and performance characteristics make them suited for very different use cases.
A leading digital asset trading firm, the trading and custody arm of a major financial services company, has embraced crypto in a big way. But to lead in a 24/7 market, they needed to move beyond their legacy technology stack…. Read more
Learn how 24/7 capital markets are enabled by consensus-based sequencer architectures. We cover zero‑downtime upgrades, versioned protocols, snapshots, canary deploys, state migration, and rolling changes—keeping systems consistent, resilient, and low‑latency at scale.