ONLINE | MARCH 11-12, 2026
Discover how your peers are approaching real-time engineering challenges at massive scale.
Connect with other engineers designing, implementing, and optimizing systems that are pushed to their limits.
Roll up your sleeves and master best practices for predictable low latency at high throughput.
Dor is the CEO of ScyllaDB. Previously, Dor was part of the founding team of the KVM hypervisor under Qumranet that was acquired by Red Hat. At Red Hat Dor was managing the KVM and Xen development for several years. Dor holds an MSc from the Technion and a Phd in snowboarding.
Martin Kleppmann is an Associate Professor at the University of Cambridge.
Avi, CTO of ScyllaDB, is known mostly for starting the Kernel-based Virtual Machine (KVM) project, the hypervisor underlying many production clouds. He has worked for Qumranet and Red Hat as KVM maintainer until December 2012. Avi is now CTO of ScyllaDB, a company that seeks to bring the same kind of innovation to the public cloud space.
Chris Riccomini is a software engineer, startup investor, and advisor, and author with more than 15 years of experience at major tech companies such as PayPal, LinkedIn, and WePay. He has been involved in open source throughout his career and is the author of Apache Samza. He’s co-author of The Missing README: A Guide for the New Software Engineer, and writes Materialized View, a weekly infrastructure newsletter.
Dominik Tornow is CEO and founder of Resonate HQ, Inc. Dominik focuses on correctness, reliability, and scalability of distributed systems. He is the author of Thinking in Distributed Systems.
Felipe Cardeneti Mendes is a Technical Director at ScyllaDB.
30+ interactive sessions that explore “monster scale” challenges related to ScyllaDB, the monstrously fast database, and broader at-scale engineering feats. Industry experts share emerging trends, architecture deep dives, experience reports, infrastructure innovations, and hands-on labs.
The Monster Scale Summit community is all about discussing strategies for meeting performance expectations at extreme scale. Whether you’re designing, implementing, or optimizing systems that are pushed to their limits, we’d love to hear about your most impressive achievements and lessons learned.
