Storm Slivkoff
Storm is a data associate at Paradigm. He uses data science and data engineering to analyze crypto systems and build crypto data infrastructure. Storm is passionate about open source software and open data standards. He has published open-source tools for collecting and analyzing data from many crypto protocols. Prior to Paradigm, Storm was a data specialist at Fei Labs. He earned his PhD from UC Berkeley doing neuroscience research.
How to Raise the Gas Limit, Part 1: State Growth
The goal of this blogpost series is to develop a scientific approach for understanding and enacting Ethereum's scaling roadmap. [→]
by Storm Slivkoff, Georgios Konstantopoulos on Mar 04, 2024
Introducing flood: a load testing tool for benchmarking EVM nodes
Introduction Load testing is a critical step in the development of resilient, high-performing data systems. Nevertheless, load testing has not been widely applied in the development of cryptocurrency infrastructure. We're thrilled [→]
by Storm Slivkoff, Georgios Konstantopoulos on Jun 06, 2023