Modern Blockchain Indexing
summary
Indexes must handle huge jumps in throughput: examples include 80M events in 9 hours, chains claiming up to 400,000 TPS, and benchmarking at ~490,000 events/sec. The stack pairs Hypersync (Rust) as a high-performance data engine with Hyperindex for multi-chain deployment and async handlers. Real builds include headless block explorers, revoke.cash integration, Uniswap v4 live analytics, arbitrage dashboards and oracle indexing, all reported as fast enough for production use.
AI-written summary · about
chapters (21)
- 0:00Introduction
- 1:00About Denham Preen and Envio
- 2:15What is Blockchain Indexing?
- 3:03Evolution of Blockchain Throughput
- 4:18The Need for Modern Indexing
- 4:53Three Pillars: Performance, Multi-chain, Flexibility
- 5:42Performance Case Study: Metry
- 7:01Multi-chain Indexing: Sablier & Pimlico
- 8:26Flexibility in Indexing: Monad Clip Example
- 9:18Advanced Use Cases for Flexible Indexers
- 10:05Envio Stack: Hypersync & Hyperindex
- 11:15Hypersync: Rust-based Performance Engine
- 12:09Indexers as Application Tools
- 12:29Practical Examples & Demos
- 13:23Security & Approval Tools: revoke.cash, Snub
- 13:55Big Data & Real-time Analytics
- 14:17Uniswap v4 Analytics
- 15:09Arbitrage Dashboards & Oracle Wars
- 15:58Scaling to Visa-level Throughput
- 16:19Community Feedback & Recap
- 16:44Closing & Contact Info
related talks
18mLightning Fast Multichain Indexing
13mDyndexer, Indexing Solana On-Chain Data at Scale
14mThe Blockchain Native Database
13mBenchmarking Blockchain Aggregators
21mAnyblock Analytics Technical Demo
17mAmp Enterprise Grade Blockchain Data that Scales
28mBuilding Bitcoin data applications PostgreSQL
43mBigchainDB : a Scalable Blockchain Database, in Python