ONLINE | MARCH 11-12, 2025
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.
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.
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.
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.
Todd brings his deep experience building ad tech platforms to his role as Chief Architect. Prior to being part of the founding team at Yieldmo, Todd worked closely with the co-founders during his tenure at Quigo Technologies, Inc., which was acquired by AOL in 2007. Before that, Todd worked for Columbia House and Tallan enterprise consultants. He holds a Master in Computer Science from the University of Colorado Boulder and undergraduate degrees in both business and CS from the University of Missouri Columbia.
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.
Matt has spent over 15 years working on low-level, high-performance systems and was previously the maintainer for the Linux kernel EFI subsystem while at Intel and SUSE. Most recently, Matt has focused on the performance of distributed systems and databases including leading a globally distributed team of engineers that contributed significant performance changes to the Apache Cassandra 5.0 release. He has co-authored papers on performance change detection and distributed systems testing and served on the ACM/SPEC ICPE program committee. Matt can often be found on Twitter, discussing topics such as software performance, benchmarking and statistics.
Scaling isn’t just about multiplying outputs; it’s about amplifying impact, staying grounded, and adapting with purpose.” As a technology leader with over 20 years of experience, I’m passionate about building, scaling, and optimizing complex distributed systems. My focus areas include IoT, cloud engineering, big data, AI, and SaaS for enterprise and consumer applications. At Sleepnumber Labs, I lead engineering efforts across products, platforms, and data, driving innovation and meaningful changes.
Dmytro Hnatiuk is a Principal Software Engineer at Wise, where he has been turning complex challenges into scalable solutions for eight years. With over a decade in the tech industry and a focused expertise in the Finance & Treasury domain for the last six years, he has successfully scaled systems tenfold by making pragmatic decisions at the right times. His approach involves understanding the big picture of database and application scalability and knowing exactly when to implement specific optimizations. At this conference, he is excited to share strategies that have proven successful in his work, helping others to navigate their own scalability challenges more effectively.
Ivan is product manager for ScyllaDB Cloud, focusing on the infrastructure, security and privacy areas, ensuring the cloud platform remains robust, scalable, and secure for our customers worldwide.
With over 30 years of experience in product management and product development, Ivan has contributed to various industries, including software as a service (SaaS), database products and observability products for transportation, retail, and telecommunications business.
Delivering innovative solutions that address complex challenges while creating value to customers.
Rodrigo Luchini is a Software Engineering Manager with over 15 years of experience in technology. Currently at Natura, he leads scalable commercial data processing solutions to support global operations and real-time KPI delivery. His expertise spans complex data systems, cloud engineering, and innovative business solutions. He is passionate about mentoring and advancing the field of software engineering.
Tzach has a B.A. and MSc in Computer Science (Technion, Summa Cum Laude), and has had a 15 year career in development, system engineering and product management. In the past he worked in the Telecom domain, focusing on carrier grade systems, signaling, policy and charging applications.
Terence Liu is a domain expert in building and deploying machine learning models, vector search engines, and distributed computing/data systems. Being an academically trained computational physicist, he is passionate about performance computing, and the fundamental hardware/language/software breakthroughs that accelerate its progress. Terence works at Clearview AI, a software vendor for public safety technologies.
Patrick has over 30 years of experience with mission critical databases as an application developer, DBA, and physical design, and query performance tuning. In his current role, Patrick works with enterprise customers to design, deploy, and scale highly available and performant applications using ScyllaDB, NoSQL database.
Henrik is a Cloud Native Advocate at Dynatrace, the leading Observability platform. Prior to Dynatrace, Henrik has worked more than 15 years, as Performance Engineer. Henrik Rexed Is Also one of the Organizer of the conferences named WOPR, KCD Austria and the owner of the Youtube Channel IsitObservable.
I am a professional software engineer for over eight years now, I have mostly worked with functional programming on large-scale distributed systems. Over time, I have found joy in speaking and writing about coding in general. I am a mentor at Springboard and Mentorcruise for aspiring engineers. Some of my articles and blogs are available here: https://mourjo.me
Bhakti Mehta is the author of “Developing RESTful Services with JAX-RS 2.0, WebSockets, and JSON, Packt Publishing”, (2013) and “RESTful Java Patterns and Best Practices, Packt Publishing” (2014). She has more than 24 years of experience in architecting, designing systems at scale. Currently Bhakti is the Senior Chief Architect, Confluence Cloud at Atlassian.
Bhakti has a Bachelor’s degree in Computer Engineering and a Master’s degree in Computer Science. Her areas of research include architecting solutions for resiliency, scalability, reliability, and performance with respect to server-side technologies, web services, and cloud applications.
Glauber is an industry veteran with decades of experience in low-level systems on his back. His hair would be gray at this point if he had any left. After an array of high impact contributions to key infrastructure open source projects like the Linux Kernel and ScyllaDB, he is now the founder and CEO of Turso.
Srushith Repakula is an AWS Serverless Hero and the Head of Engineering at KonfHub, a one stop platform for technical conferences built on AWS stack, primarily using serverless and other associated services. His first taste of serverless was participating in the “AWS Chatbot Challenge” – he fell instantly in love with the technology and the unparalleled passion for Lambdas henceforth began.
He is passionate about building serverless applications and sharing his experiences at various events across the globe, and believes serverless is the future of software development and the way applications will be built moving forward. He also thinks it will empower every developer to easily migrate to the cloud and start building with the least friction. He anticipates serverless becoming the cheapest supercomputer at the hands of every developer!
Srushith recently founded the Tirupati AWS User Group and also started the first serverless-focused meetup group in Bangalore where he presents and encourages young passionate members to get involved: there are over 6,000+ members across both groups! He also started Serverless Saturdays, a monthly webinar focusing on everything serverless and helping developers not only kick start their serverless journey, but also provide an opportunity to get access to learnings and experiences from experts across the globe.
Ran is a professional software engineer for the last 25 years. He worked in various domains among them networking, cyber security, medical and databases. Ran is an active ISO C++ WG21 member where he helps to shape the future of the C++ programming language.
Evan has been a distributed systems / data / software engineer for twenty years. He led a team developing FiloDB, an open source (github.com/filodb/FiloDB) distributed time series database that can process a million records per second PER NODE and simultaneously answer a large number of concurrent queries per second. FiloDB is the production telemetry DB at Apple. He has architected, developed, and productionized large scale data and telemetry systems at companies including Apple, and loves solving the most challenging technical problems at both large and small scales, from advanced custom data structures to distributed coordination. He is an expert in bleeding edge #jvm #java #scala and #rust performance. Current interests include Rust and columnar compression. He has led the design and implementation of multiple big data platforms based on Rust, Apache Storm, Spark, Kafka, Cassandra, and Scala/Akka. He has been an active contributor to the Apache Spark project, and a two-time Datastax Cassandra MVP.
I have over 25 years of experience leading high-performance teams and developing cutting-edge software solutions. I started my career as a system developer, writing C and C++ compilers, and then moved towards application development, providing scalable solutions and complex problems. I am a specialist in designing and developing Big Data Pipelines and processing data using Big Data technologies.
Daniel Abadi is the Darnell-Kanal Professor of Computer Science at the University of Maryland, where he performs research on database system architecture and implementation, especially at the intersection with scalable and distributed systems. He is best-known for the development of the storage and query execution engines of the C-Store (column-oriented database) prototype and deterministic, scalable, transactional, distributed systems such as Calvin. An ACM Fellow and recipient of numerous awards, Abadi received his PhD in 2008 from MIT. He blogs at DBMS Musings and tweets at @daniel_abadi.
Thiago Maciel has over 15 years of experience in IT, excelling as both an individual contributor and tech lead, specializing in backend development, distributed systems, big data processing, and cloud solutions. Versatile in roles such as backend engineer, platform engineer, data engineer, performance engineer, DevOps, SRE, DBA, and architect – He can navigate the entire stack. Thiago Maciel is passionate about building scalable, high-performance, cost-effective, and resilient systems. His experience spans diverse industries, including major Brazilian banks, e-commerce, telecom, retail, and insurance, where he has consistently driven impactful technology solutions across various business landscapes.
ScyllaDB’s drive towards strongly consistent features continues, and in this talk I will cover the upcoming implementation of safe topology changes feature: our rethinking of adding and removing nodes to a ScyllaDB cluster.
Quickly assembling a fresh cluster, performing topology and schema changes concurrently, quickly restarting a node with a different IP address or configuration – all of this has become possible thanks to a centralized – yet fault-tolerant – topology change coordinator, the new algorithm we implemented for Scylla 5.3. The next step would be automatically changing data placement to adjust to the load and distribution of data – our future plans which I will touch upon as well.
Benjamin Cane is a Distinguished Engineer at American Express, where he plays a pivotal role in the architecture, design, and engineering excellence of the Acquirer and Network Payments Platforms. With a focus on cloud-native technologies and practices, Ben specializes in building mission-critical and high-performance systems. His expertise has been instrumental in driving the evolution of American Express’ cloud-native payments platform. Beyond his contributions to American Express, Ben is an active open-source community member and has contributed to various projects.
Elad Leev is a Data Platform Engineer and open-source enthusiast with over 10 years of experience managing complex production systems. He has expertise in distributed systems, databases, and data streaming technologies. Elad is using Kafka in production since 2016, and he is a strong advocate for data streaming solutions, particularly with technologies like Flink, Debezium and Kafka Connect. Elad is a frequent global conference speaker, an open-source contributor and creator. Elad shares knowledge through blog posts on platform engineering, data technologies, and streaming systems. He consults for companies adopting streaming technologies, VCs investing in the space, and startups validating streaming startup ideas. Additionally, Elad mentors engineers looking to transition their careers into data-related fields. Elad is honourably featured on the “”Best Kafka Summit Videos”” page on the Apache Kafka website.
Nadav Har’El has had a diverse 30-year career in computer programming and computer science, working in areas including information retrieval, virtualization and operating systems. Today he works on ScyllaDB, and among other things led the Alternator development.
Monster SCALE Summit is the next evolution of ScyllaDB Summit, which has featured speakers from these organizations.
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.
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