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Extreme scale engineering

ONLINE | April 22, 2026

Dive into extreme-scale engineering with ScyllaDB’s premier online event.

Explore real-world architecture deep-dives, hands-on labs, and sessions from engineering leaders building systems for the highest throughput, lowest latency, and most demanding scale.

Check out our Agenda and Speakers below. 

- Learn from engineers at Discord, Freshworks, Sprig, and many more

- See how your peers are designing distributed data systems that deliver snappy user experiences, even at massive scale

- Discover cost optimization strategies that become increasingly critical as your company grows

- Explore ScyllaDB – the database for predictable performance at scale – and understand whether it could help address your database pains

REGISTER NOW

Featured Sessions

  • 530x370-summit-26-dor-laor-scylladb

    Solving the Hardest Problem
    in DBaaS: Elasticity at Scale
    Dor Laor, ScyllaDB

  • 530x370-summit-26-thea-aaresstad

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

    Thea Aarrestad, ETH Zürich 

  • 530x370-summit-26-joran-greef-tigerbeetle

    You Can't Scale When
    You're Dead
    Joran Greef, TigerBeetle

  • 530x370-summit-26-brendan-cox-sprig
    How Sprig Simplified
    Infrastructure and Cut
    Latency 4-8x
    Brendan Cox, Sprig
  • 530x370-summit-26-andrei-manakov-sharechat (1)

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

    Andrei Manakov, Sharechat 

     

  • 530x370-summit-26-stephanie-wang-mongoDB

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

    Stephanie Wang, MongoDB 

  • 530x370-summit-26-murat-demirbas-mongodb
    Hints for Distributed Systems Design
    Murat Demirbas, MongoDB
  • 530x370-summit-26-premkumar-patturaj-freshworks

    Scaling Freshworks’ AI Data
    Platform with ScyllaDB
    Premkumar Patturaj, Freshworks

     

  • 530x370-summit-26-ethan-donowitz-discord
    How Discord Automates
    Database Operations at Scale
    Ethan Donowitz, Discord
  • 530x370-summit-26-kshitij-tambe-aws

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

    Kshitij Tambe, AWS &
    Tzach Livyatan, ScyllaDB

  • 530x370-summit-26-avi-kivity-scylladb
    Tablets: State So Far,
    Future Plan
    Avi Kivity, ScyllaDB
  • 530x370-summit-26-martin-kleppmann
    Designing Data-Intensive
    Applications Second Edition
    Martin Kleppmann,
    O'Reilly Author
  • 530x370-summit-26-salvatore-sanfilippo-reddis
    The Theory and Practice of the Redis
    Vector Set Data Type
    Salvatore Sanfilippo (antirez)
  • 530x370-summit-26-adarsha-das-meesho

    BharatMLStack

    Adarsha Das, Meesho

and a zillion more!

Wednesday, Apr 22

Welcome

Tim Koopmans, ScyllaDB

Solving the Hardest Problem in DBaaS: Elasticity at Scale

Dor Laor, ScyllaDB

Scaling Freshworks’ AI Data Platform with ScyllaDB

Premkumar Patturaj, Vigneshkumar AK, Freshworks

Tablets: State So Far, Future Plan

Avi Kivity, ScyllaDB

BharatMLStack: Online Feature Store

Meesho

How Sprig Simplified Infrastructure and Cut Latency 4-8x

Brendan Cox, Sprig

Migrating from Postgres to ScyllaDB for Handling a Billion Rows

Abdurohman Abdurohman, tiket.com

How Discord Automates Database Operations at Scale

Ethan Donowitz & Peter French, Discord