Overview of Flood architecture and use cases: How to solve the problems existing in current RPC system testing?Flood architecture and use cases: solving issues in RPC system testing.
Blockingradigm has previously launched the RPC node load testing tool Flood, with the goal of optimizing Reth and understanding its latency and throughput under various loads. Encryption researcher cookies has written an article detailing what load testing is, as well as the architecture and use cases of Flood, and states that Flood can help optimize the performance of encrypted infrastructure.
Load testing is a key step in the development of data systems, mainly to measure how performance metrics of a system vary with different types of workloads. Performance metrics include throughput, latency, and error rate. As systems bear more and more load, these metrics tend to decline. The workload types in blockchain are size and RPC methods, and the current RPC performance testing mainly focuses on latency testing, but there are two problems: limited RPC endpoint performance data and lack of in-depth understanding of RPC endpoint performance under load. Flood can replace latency testing by evaluating RPC endpoints through load testing, covering all RPC methods.
Flood architecture: 1) Call Generation Engine: A large parameterized set of RPC calls is generated and randomly sampled, with a distribution similar to different types of blockchain workloads. 2) Load Testing Engine: Flood triggers Vegeta, a high-performance load testing tool written in Go, to perform complex testing against RPC endpoints using RPC calls from the call generation engine. 3) Reporting Engine: Flood summarizes the results of load testing, providing charts, tables, and reports that can be easily integrated into scripts and data to improve the system.
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Additional features of Flood: 1) Diverse load testing schedules: including stress testing, peak testing, and long-running load testing. 2) Isolated load testing and equivalence testing modes: Isolated load testing can be run in local mode on each RPC node, eliminating the problems caused by network bottlenecks, while equivalence testing mode can check whether each RPC endpoint returns the same response.
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