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.
Kelsey has worn every hat possible throughout his career in tech and enjoys leadership roles focused on making things happen and shipping software. Prior to his retirement, he was a Distinguished Engineer at Google, where he worked on Google Cloud Platform. He is a strong open source advocate with a focus on building great software as well as great communities around them. He is also an accomplished author and keynote speaker with a knack for demystifying complex topics, doing live demos and enabling others to succeed. When he is not writing code, you can catch him giving technical workshops covering everything from programming to system administration.
Gwen Shapira is the Co-Founder and CPO at Nile.
Dr Kerry Halupka is a Principal Machine Learning Engineer with extensive experience designing and scaling high-performance systems in AI and distributed computing. Currently at Canva, Kerry focuses on advancing machine learning capabilities in content understanding and infrastructure, enabling intelligent solutions that serve millions of users globally.
Kerry’s expertise spans AI-driven content enrichment, computer vision, and large-scale machine learning pipelines. She has led the development of innovative systems that tackle complex challenges in automation, real-time processing, and extreme scalability. Throughout her career, she has worked across diverse industries, delivering impactful solutions and fostering collaboration between engineering, product, and design teams.
Passionate about building practical, scalable systems, Kerry is also committed to mentoring engineers and contributing to the broader technology community through knowledge sharing and thought leadership.
Vicki is a Senior Software Engineer on the Persistence Infrastructure team at Discord.
Claire Adams is a Software Engineer at Slack. She has worked on scaling and maintaining Slack’s infrastructure to support over 32 million daily active users. Currently, she specializes in applying generative AI to search use cases to improve user productivity. Claire graduated summa cum laude from Barnard College of Columbia University with a degree in computer science and a minor in environmental science. In her free time, Claire plays water polo and enjoys going to the theater in New York City.
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.
Martin Kleppmann is an Associate Professor at the University of Cambridge.
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.
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.
Principal software engineer at Medium. Building scalable architectures supporting heavy loads.
* Founding Engineer @poolside, hacking fun AI things at scale
* Ex-maintainer of ScyllaDB and Seastar
* Ex-Staff @Turso
* Maintainer of libSQL
* Wrote a few patches for the Linux kernel
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.
