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.
Written by Storm Slivkoff
How to Raise the Gas Limit, Part 2: History Growth
In this post we continue our investigation of Ethereum scaling from Part 1, now turning our attention from state growth to history growth. Using high resolution datasets, our goal is to 1) build a technical understanding of Ethereum’s scaling bottlenecks, and 2) help frame the discussion around what Ethereum gas limit is optimal.
05.07.2024|Storm SlivkoffGeorgios Konstantopoulos
Introducing flood: a load testing tool for benchmarking EVM nodes
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 to bridge this gap with the introduction of flood, a benchmarking tool specifically designed for performance analysis of RPC endpoints.
06.06.2023|Storm SlivkoffGeorgios Konstantopoulos
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