Load Testing EVM Nodes Across RPC Workloads
Summary
The document explains why measuring a blockchain node with isolated request latency is insufficient: performance under load also depends on throughput, errors, workload size, and the RPC method being called. Different methods can stress different resources, such as storage or CPU, so controlled workload tests can reveal bottlenecks, failure modes, and capacity limits.
It presents flood, a configurable benchmarking approach that generates parameterized RPC calls, runs controlled tests against endpoints, and reports performance across load levels. Tests can compare implementations or configurations and can use stress, spike, or soak schedules; local execution can reduce network noise, while an equality mode checks whether endpoints return matching responses. The account says flood helped identify and fix bottlenecks in Reth, but gives no comparative benchmark results or quantified performance gains. Results depend on workload design and environment, so they characterize tested conditions rather than universal node performance.
Key ideas
- Latency tests alone do not show how RPC endpoints perform under sustained or increasing load.
- RPC methods create distinct workloads and may be limited by different hardware resources.
- Controlled load tests can compare throughput, latency, and errors across endpoints and configurations.
- Stress, spike, soak, and local testing expose different performance behaviors.
- Benchmark conclusions depend on the selected workload and test environment.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.