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Monster Scale Summit

Extreme scale engineering

Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 60+ sessions available on demand.

Featured Sessions

Solving the Hardest Problem in DBaaS: Elasticity at Scale

Solving the Hardest Problem in DBaaS: Elasticity at Scale

Dor Laor

Co-Founder & CEO at ScyllaDB
Databases as a service require many features like security and self-service APIs, but elasticity remains the...
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How Discord Automates Database Operations at Scale

How Discord Automates Database Operations at Scale

Ethan Donowitz

Senior Software Engineer at Discord

Peter French

Senior Software Engineer at Discord
At Discord, our small team operates over 20 ScyllaDB clusters consisting of almost 500 nodes. Over...
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From Zettabytes to a Few Precious Events: Nanosecond AI at the Large Hadron Collider

From Zettabytes to a Few Precious Events: Nanosecond AI at the Large Hadron Collider

Thea Aarrestad

Senior Research Fellow at ETH Zurich and CERN at Particle Physicist
The Large Hadron Collider generates tens of thousands of exabytes of raw data annually, making real-time...
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The Next Larger Context: How Senior Engineers Create Leverage, At Scale

The Next Larger Context: How Senior Engineers Create Leverage, At Scale

Camille Fournier

Author at O'Reilly
Beyond senior level, impact comes from redefining the problem—not just solving it. Using real-world examples, this...
Scaling Freshworks’ AI Data Platform with ScyllaDB

Scaling Freshworks’ AI Data Platform with ScyllaDB

Premkumar Patturaj

Senior Engineering Manager at Freshworks

Vigneshkumar AK

Lead Site Reliability Engineer at Freshworks
Innovation never sleeps at Freshworks. Freshworks has been rebuilding its AI data platform to support 10X...
Tablets: State So Far, Future Plan

Tablets: State So Far, Future Plan

Avi Kivity

Co-Founder & CTO at ScyllaDB
A technical deep dive into the trickiest parts of implementing tablets.
From 1 to 0: How to Scale More With Less

From 1 to 0: How to Scale More With Less

Yichen Wei

Engineer Manager at Hulu
Scaling is hard—and scaling in a distributed environment is even harder. Can we achieve high scalability...
Sprig’s Migration to ScyllaDB Cloud: How Sprig Simplified Infrastructure and Cut Latency 4-8x

Sprig’s Migration to ScyllaDB Cloud: How Sprig Simplified Infrastructure and Cut Latency 4-8x

Brendan Cox

Senior Staff Software Engineer at Sprig
Sprig operates a real-time, event-based customer research platform that processes hundreds of millions of events per...
Designing Data-Intensive Applications Second Edition

Designing Data-Intensive Applications Second Edition

Martin Kleppmann

Author at O'Reilly at University of Cambridge
Join us for a conversation with Martin Kleppmann and Chris Riccomini, authors of Designing Data-Intensive Applications,...
The Theory and Practice of the Redis Vector Set Data Type

The Theory and Practice of the Redis Vector Set Data Type

Salvatore Sanfilippo (antirez)

Creator at Reddis
In this session I’ll explore the inner working of HNSWs and their implementation tradeoffs, and show...
The Data Architecture Behind Pinterest’s Ad Reporting and Budget Optimization Services

The Data Architecture Behind Pinterest’s Ad Reporting and Budget Optimization Services

Sanchay Javeria

Software Engineer at Pinterest

Zachary Mullins

Senior Software Engineer at Pinterest
Pinterest relies on Apache Flink to power revenue-critical use cases like real-time ad metrics and budget...
Building a Database Replication Platform at Scale

Building a Database Replication Platform at Scale

Joy Gao

Software Engineer at ClickHouse
Cross-system database replication at petabyte scale is far harder than it looks, especially when bridging transactional...
Cost Efficiency at Scale: Lessons from Running Dozens of ScyllaDB Clusters

Cost Efficiency at Scale: Lessons from Running Dozens of ScyllaDB Clusters

Andrei Manakov

Senior Staff Software Engineer at ShareChat
At ShareChat, we operate dozens of ScyllaDB clusters powering multiple products. This talk shares how we...
ScyllaDB Engineering: What’s New, What’s Next

ScyllaDB Engineering: What’s New, What’s Next

Yaniv Kaul

VP Research & Development at ScyllaDB
Join ScyllaDB VP of R & D Yaniv Kaul as he highlights the engineering milestones achieved...
Migrating from Postgres to ScyllaDB for Handling a Billion Rows

Migrating from Postgres to ScyllaDB for Handling a Billion Rows

Abdurohman Abdurohman

Engineering Manager at tiket.com
At tiket.com, managing billions of hotel inventory rows pushed PostgreSQL to its limits, with write delays...
ScyllaDB Vector Search: A Technical Deep Dive on Real-Time Performance at Billion-Vector Scale

ScyllaDB Vector Search: A Technical Deep Dive on Real-Time Performance at Billion-Vector Scale

Szymon Wasik

Director of Software Engineering at ScyllaDB
ScyllaDB’s integrated Vector Search is redefining what’s possible for real-time AI applications by merging a high-performance,...
Vector Search in Action

Vector Search in Action

Tyler Denton

Solutions Architect at ScyllaDB
This session demonstrates ScyllaDB’s vector search capabilities for large-scale AI applications. We’ll explore real-world use cases...
Hints for Distributed Systems Design

Hints for Distributed Systems Design

Murat Demirbas

Principal Research Scientist at MongoDB Research
This talk distills my 25 years of experience designing distributed systems into a set of practical...
Using Rust to Build a Unified Driver Ecosystem

Using Rust to Build a Unified Driver Ecosystem

Wojciech Przytuła

Senior Software Engineer at ScyllaDB

Karol Baryła

Senior Software Engineer at ScyllaDB
ScyllaDB is unifying our language-specific ScyllaDB drivers by translating them to bindings to our low-latency Rust...
High Availability: Lessons Learned

High Availability: Lessons Learned

Paul Preuveneers

Senior Director - Global Solution Architecture at ScyllaDB
How does ScyllaDB keep your data safe, and your mission critical applications running smoothly, even in...
ScyllaDB Flow Control: As Fast as Possible, But Not Faster

ScyllaDB Flow Control: As Fast as Possible, But Not Faster

Nadav Har’El

Distinguished Engineer at ScyllaDB
Pushing requests faster than a system can handle results in rapidly growing queues. If unchecked, it...
From Batch to Real-Time: How MoEngage Achieved Millisecond Personalization with ScyllaDB

From Batch to Real-Time: How MoEngage Achieved Millisecond Personalization with ScyllaDB

Atish Andhare

Technical Lead at MoEngage
At MoEngage, the delay between a user action and our ability to react to it is...
How SAS Powers Real-Time Ad Decisioning & Delivery at World Cup Scale

How SAS Powers Real-Time Ad Decisioning & Delivery at World Cup Scale

Brian Jones

Senior Manager Software Development at SAS
SAS 360 Match delivers real-time ad decisioning and delivery for a high throughput digital advertising environments...
Distributed by Default Is a Trap: Fast and Simple Analytics on MongoDB with DuckDB

Distributed by Default Is a Trap: Fast and Simple Analytics on MongoDB with DuckDB

Stephanie Wang

Staff Software Engineer at MongoDB
Most teams jump to distributed analytics too early and end up with unnecessary complexity. This talk...
Inside Real-World DynamoDB Migrations

Inside Real-World DynamoDB Migrations

Guilherme Nogueira

Technical Director at ScyllaDB
Learn how teams are addressing DynamoDB challenges (cost, cloud lock-in, technical limitations) by moving to ScyllaDB....
Using ScyllaDB to Store Large Amounts of Small Data

Using ScyllaDB to Store Large Amounts of Small Data

Andrés Medina

Staff Software Engineer at Red Canary, a Zscaler company
At Red Canary, we’ve been looking into ways to more efficiently store large amounts of data...
You Can’t Scale When You’re Dead

You Can’t Scale When You’re Dead

Joran Greef

Creator at Tigerbeetle
Scale is about survivability, not just performance: a system that can’t stay alive when things break...
The Engineering Behind ScyllaDB’s Efficiency

The Engineering Behind ScyllaDB’s Efficiency

Felipe Cardeneti Mendes

Technical Director at ScyllaDB
Learn how ScyllaDB’s technical differentiators impact performance as we scale ScyllaDB X Cloud from 100K to...
Working on Complex Systems

Working on Complex Systems

Teiva Harsanyi

SRE at Google
Throughout my career, I’ve worked in many complicated environments. Yet nothing comes close to the intricacy...
Systems Engineering for Agentic Applications

Systems Engineering for Agentic Applications

Dominik Tornow

Founder & CEO at Resonate HQ, Inc
Today’s AI frameworks excel at building prototypes. But when autonomous agents need to run continuously in...
Solving the Hardest Problem in DBaaS: Elasticity at Scale

Solving the Hardest Problem in DBaaS: Elasticity at Scale

Dor Laor

Co-Founder & CEO at ScyllaDB
Databases as a service require many features like security and self-service APIs, but elasticity remains the...
Building Decentralized Workflows that Scale

Building Decentralized Workflows that Scale

Peter Kraft

Co-founder at DBOS
We usually think of workflows as centralized–there’s a big central orchestrator telling different workers what to...
The Path to Tiered Storage

The Path to Tiered Storage

Benny Halevy

Director, Software Engineering at ScyllaDB
Why ScyllaDB is implementing a native object storage stack, interesting design decisions, and a roadmap for...
Forging Resilience at 250K RPS: Go Context Lessons from Debugging a Cascading Failure.

Forging Resilience at 250K RPS: Go Context Lessons from Debugging a Cascading Failure.

Paweł Obrępalski

Staff Engineer at Sharechat

Prajakta Mundale

Software Engineer 2 at Sharechat
At ShareChat’s scale, a seemingly simple incident revealed a 100% client-side error rate masking only 5%...
How LinkedIn Powers Recommendations to Billions of Users

How LinkedIn Powers Recommendations to Billions of Users

Nishant Satya Lakshmikanth

Engineering Manager at LinkedIn
This session presents LinkedIn’s journey in transforming its recommendation systems from offline batch pipelines to real-time,...
Efficient Data Consistency: Incremental Repair for ScyllaDB Tablets

Efficient Data Consistency: Incremental Repair for ScyllaDB Tablets

Asias He

Principal Software Engineer at ScyllaDB
Maintaining data consistency in large-scale distributed databases often comes with a high performance cost. This session...
The Future of Data Consistency in ScyllaDB

The Future of Data Consistency in ScyllaDB

Alex Dathskovsky

Director of Software Core Engineering at ScyllaDB
A preview of ScyllaDB’s path to strong consistency, including the role of Raft.
From Zettabytes to a Few Precious Events: Nanosecond AI at the Large Hadron Collider

From Zettabytes to a Few Precious Events: Nanosecond AI at the Large Hadron Collider

Thea Aarrestad

Senior Research Fellow at ETH Zurich and CERN at Particle Physicist
The Large Hadron Collider generates tens of thousands of exabytes of raw data annually, making real-time...
Scaling Relational Databases at Nextdoor

Scaling Relational Databases at Nextdoor

Ronak Shah

Software Engineer at Nextdoor

Slava Markeyev

Software Engineer at Nextdoor
Scaling datastores for existing applications without impacting business logic and development is tricky. This talk explores...
turbopuffer: a Trillions-Scale Search Engine on Object Storage

turbopuffer: a Trillions-Scale Search Engine on Object Storage

Nikhil Benesch

CTO at turbopuffer
Building a trillion-scale vector search system is one challenge; running it as a multi-tenant SaaS service...
Yours, Mine, and Ours: Efficient Set Reconciliation in O(n log n) of the SET DIFFERENCE

Yours, Mine, and Ours: Efficient Set Reconciliation in O(n log n) of the SET DIFFERENCE

Pat Helland

Software Architect at Salesforce

Daniel May

Solutions Architect at Salesforce
This session presents a new algorithm for efficient set reconciliation that operates in O(n log n)...
What Speedrunning Can Teach Us

What Speedrunning Can Teach Us

Miguel Young de la Sota

Software Engineer at Buf Technologies
Speedrunners and performance engineers face the same core challenge: every optimization must be weighed against its...
Inside AWS I8: Graviton4, Nitro SSDs, and 2X Throughput (with ScyllaDB)

Inside AWS I8: Graviton4, Nitro SSDs, and 2X Throughput (with ScyllaDB)

Kshitij Tambe

Product Manager at AWS

Tzach Livyatan

VP Product Strategy at ScyllaDB
What actually changes when you move to the new AWS I8 instances? AWS’s Kshitij Tambe walks...
Querying Massive Filesystems Quickly and Securely with GUFI

Querying Massive Filesystems Quickly and Securely with GUFI

Jason Lee

HPC Engineer at Los Alamos National Laboratory
At Los Alamos National Laboratory, billions of files spread across diverse supercomputing systems make data curation...
EloqDoc: A MongoDB-compatible API Layer for ScyllaDB

EloqDoc: A MongoDB-compatible API Layer for ScyllaDB

Hubert Zhang

CTO at EloqData
EloqDoc introduces a MongoDB-compatible API layer built on top of ScyllaDB. It enables developers to use...
Powering Real-Time Vehicle Intelligence at Rivian with Apache Flink and Kafka

Powering Real-Time Vehicle Intelligence at Rivian with Apache Flink and Kafka

Guruguha Marur Sreenivasa

Staff Software Engineer at Rivian Volkswagen Group Technologies

Saahil Khurana

Staff Software Engineer at Rivian Volkswagen Group Technologies
At Rivian, over 150,000 vehicles stream 5,500+ signals every five seconds to power push notifications, AI...
How Discord Automates Database Operations at Scale

How Discord Automates Database Operations at Scale

Ethan Donowitz

Senior Software Engineer at Discord

Peter French

Senior Software Engineer at Discord
At Discord, our small team operates over 20 ScyllaDB clusters consisting of almost 500 nodes. Over...
How American Express Migrated Its Payment Network—Twice, with Zero Downtime

How American Express Migrated Its Payment Network—Twice, with Zero Downtime

Benjamin Cane

Distinguished Engineer at American Express

Tristan Fuentes

Principal Engineer at American Express
We’ve got 99 problems (but downtime ain’t one): Learn how the Payment Network team migrated live...
Accelerating Python for Real-time ML with Chalk

Accelerating Python for Real-time ML with Chalk

Chase Haddleton

Software Engineer at Chalk
How do we build an infrastructure platform that executes complex data pipelines (< 10ms) end-to-end and...