Production Benchmarks: Comparing Alto, Skandha, and Rundler for Post-Quantum Scaling

An empirical performance and memory benchmarking study evaluating leading open-source ERC-4337 bundler implementations under heavy PQC loads.

The Current Landscape of Open-Source Bundlers

Analyzing the architecture, language design choices, and concurrency models of leading bundlers: Alto (TypeScript/Pimlico), Skandha (TypeScript/Etherspot), and Rundler (Rust/Alchemy).

Stress-Testing with ML-DSA and SLH-DSA Signature Payloads

We subject each bundler to simulated bursts of 10,000 post-quantum UserOperations per minute. We evaluate CPU utilization, Node.js event-loop bottlenecks versus Rust multi-threaded async executors, and memory footprint stability under large calldata payloads.

Recommendations for Enterprise Node Operators

Tuning recommendations for production bundler operators: memory allocation limits, garbage collection parameters, RPC rate-limiting, and distributed Redis queue clustering.

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