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From 1 to 0: How to Scale More With Less by Yichen Wei

Scaling is hard—and scaling in a distributed environment is even harder. Can we achieve high scalability and performance by applying what we’ve learned from modern hardware and high-performance frameworks? With proper control of side effects, scalability can become almost linear. In this session, I’ll walk through how to scale from a single core to multiple cores, then to multi-node clusters, and finally to multi-region architectures.

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A ScyllaDB Community From 1 to 0 - How to Scale More With Less Yichen Wei Engineering Manager
■ HA Distributed Platform domains with machine learning ■ Evangelist of HPC, HTAP, Rust and FP/CT ■ WASM/WASI, FaaS Your photo goes here, smile :) About Me
■ System Scalability vs. Data Growth ■ Limited Resources ■ Energy Constraint ■ Architectural Simplicity for Sustainable Performance Rationale
■ How Has Hardware Changed Over the Past 20 Years? ■ Why Do Side Effects Matter? ■ What Can We Learn from Hardware Evolution? Presentation Agenda
Hardware Evolution
Hardware Evolution ■ Moore’s law?
Why Side Effect Matters
In application ■ IO ■ Error In hardware ■ Page fault ■ TLB Miss Side Effect
Goals
Distributed System?
Distributed Applications
Distributed Database
■ Hardware Has Evolved Rapidly ■ OS Has Not ■ Learning Scalability from Hardware Architecture ■ Managing Side Effects Through Optimization ■ Scaling More With Less Takeaways
Stay in Touch Yichen Wei https://tinyurl.com/monsterscale Your photo goes here, smile :)
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ScyllaDB Monsters
ScyllaDB Summit 2025 Styles The default body font is Roboto Condensed. You can adjust the size as needed. You can also use Roboto (the uncondensed version). For code you should use Roboto Mono and you can set it on this dark background Header font is Archivo: Monster Scale Color palette (base for the gradient): Accent colors: #15D2A8 #0D72FF #7933FF #0F1040 #F0581E #CE1576 #A3E3FF https://fonts.google.com/specimen/Archivo #FFB32B Body copy font is Roboto
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Hardware Evolution ■ Moore’s law?
Side Effect ■ Side Effect is not only IO ■ Every non-pure behavior has side effect ■ Side effect is not absolute
Side Effect and Functional Programming
Distributed Systems from First Principle Pure Function vs Side Effect Stateless vs Stateful
Goals - Less instructions - Locality with cache hierarchy - Immutability -> Share Nothing -> Lockless - High Order -> Lazy evaluation -> stage fusion
Distributed Databases - Locality - Shared Nothing -> Disaggregation - Stage Fusion - Heterogeneous Architecture
Stay in Touch Yichen Wei Your Email Address Your Twitter Handle Your GitHub Handle Your LinkedIn URL
Stay in Touch Your First and Last Name Your Email Address Your Twitter Handle Your GitHub Handle Your LinkedIn URL Your photo goes here, smile :) Your First and Last Name Your Email Address Your Twitter Handle Your GitHub Handle Your LinkedIn URL Your photo goes here, smile :)