Data Engineering

Monster Scale Summit 2026

Monster Scale Summit is a virtual conference focused on extreme scale engineering for data-intensive applications. The event brings together top engineers and thought leaders to share the latest trends and best practices, featuring 60+ sessions available on demand. Topics include scalable data architectures, AI/ML, distributed systems, and lessons from leade…

Visit the official site
20Speakers
0Sponsors
10On the bill · sessions
13Companies · in total
§I

Speakers

Programmed at Monster, in alphabetical order.
Adarsha Das
Architect - AI Platforms at Meesho · Meesho
Andrei Manakov
Sharechat
Avi Kivity
Co-Founder & CTO at ScyllaDB · ScyllaDB
Brendan Cox
Senior Staff Software Engineer at Sprig · Sprig
Camille Fournier
Author at O'Reilly · O'Reilly
Dor Laor
Co-Founder & CEO at ScyllaDB · ScyllaDB
Ethan Donowitz
Senior Software Engineer at Discord · Discord
Felipe Cardeneti Mendes
ScyllaDB
Gopalakrishnan Subramanian
ScyllaDB
Guilherme Nogueira
ScyllaDB
Joy Gao
ClickHouse
Martin Kleppmann
Author at O'Reilly at University of Cambridge · University of Cambridge
Peter French
Senior Software Engineer at Discord · Discord
Premkumar Patturaj
Senior Engineering Manager at Freshworks · Freshworks
Salvatore Sanfilippo (antirez)
Creator at Reddis · Reddis
Sanchay Javeria
Software Engineer at Pinterest · Pinterest
Thea Aarrestad
Senior Research Fellow at ETH Zurich and Particle Physicist at CERN · ETH Zurich / CERN
Vigneshkumar AK
Lead Site Reliability Engineer at Freshworks · Freshworks
Yichen Wei
Engineer Manager at Hulu · Hulu
Zachary Mullins
Senior Software Engineer at Pinterest · Pinterest
§III

Agenda

Selected from 10 sessions on the bill.
  • Wed 1:05 pm - 1:25 pm

    Building a Database Replication Platform at Scale

    How hard is database replication anyways? Most databases offer built-in replication for fault tolerance today... that is until you need to replicate data across different database …

  • Wed 1:05 pm - 1:25 pm

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

    At ShareChat, we operate dozens of ScyllaDB clusters powering multiple products. This talk shares how we built a data-driven cost optimization process - from capacity analysis prin…

  • Wed 1:05 pm - 1:25 pm

    Inside Real-World DynamoDB Migrations

    Learn how teams are addressing DynamoDB challenges (cost, cloud lock-in, technical limitations) by moving to ScyllaDB. We'll walk through some real-world case examples, then share …

  • Wed 11:30 am - 12:05 pm

    Solving the Hardest Problem in DBaaS: Elasticity at Scale

    Databases as a service require many features like security and self-service APIs, but elasticity remains the most challenging to implement. ScyllaDB's co-founder will present the n…

  • Wed 12:05 pm - 12:35 pm

    How Discord Automates Database Operations at Scale

    Operating a distributed database is no small feat. Clusters often contain tens (or even hundreds!) of nodes, potentially distributed across availability zones or regions. Cluster-w…

  • Wed 12:40 pm - 1:00 pm

    Scaling Freshworks’ AI Data Platform with ScyllaDB

    Innovation never sleeps at Freshworks. Freshworks has been rebuilding its AI data platform to support 10X growth, 95% lower tail latency, and lower operating cost by moving multipl…

  • Wed 12:40 pm - 1:00 pm

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

    At Pinterest, we use Apache Flink, Spark, and Druid to power various use cases like real-time metrics reporting for ads from external advertisers and real-time ad budget calculatio…

  • Wed 12:40 pm - 1:00 pm

    The Engineering Behind ScyllaDB’s Efficiency

    Learn how ScyllaDB’s technical differentiators impact performance as we scale ScyllaDB X Cloud from 100K to 1M OPS. We’ll cover ScyllaDB’s shard-per-core architecture, tablets elas…

  • Wed 1:30 pm - 2:00 pm

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

    Deep beneath the Swiss-French border, the Large Hadron Collider (LHC) at CERN smashes protons together at nearly the speed of light to probe the fundamental building blocks of the …

Intermission
Part the Second · For the Buyer

An audience of 13 companies, parsed from the program.

Thirteen companies in attendance.

The numbers below are derived from the speakers, sponsors, and exhibitors on this page, cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

Who's in the room
0All threespeak · spons · exh
0Sponsoringsponsor only
13Companies Speakingspeaker only
Speakers by seniority

10% of the speakers carry senior titles: C-suite, Founder, VP, or Director-level.

  • C-suite210%
  • Manager / Lead420%
  • Engineer · IC525%
  • Research / Science15%
  • Other roles840%

Of 20 on the bill · classified by free-text title

Most-represented companies
  1. 01ScyllaDB5V
  2. 02Discord2V
  3. 03Freshworks2V
  4. 04Pinterest2V
  5. 05ClickHouse1V
  6. 06ETH Zurich / CERN1V
  7. 07Hulu1V
  8. 08Meesho1V
  9. 09O'Reilly1V
  10. 10Reddis1V
  11. 11Sharechat1V
  12. 12Sprig1V
  13. 13University of Cambridge1V
Sponsors by tier

Tiers were not disclosed for this event.