ZK-Rollup Proof Generation Load Testing

Generate millions of synthetic transactions across multiple blocks to mimic peak network activity and user behavior patterns, exposing system limits before mainnet launch.

Pinpoint performance choke points in your proof generation pipeline—from witness generation to final proof submission—with detailed metrics on CPU, memory, and I/O utilization.

Analyze and optimize the on-chain verification costs of your proofs under load, identifying opportunities to reduce L1 settlement fees by up to 40%.

Receive data-driven reports with specific hardware specs (CPU/RAM/GPU) and software configuration tweaks to achieve your target proof generation time and throughput.

Benchmark your prover's performance against industry standards and competing L2 solutions (Arbitrum, zkSync, Starknet) to validate competitive parity.

Stress-test for edge cases and failure modes to ensure proof generation remains stable and secure during sustained high load, preventing costly mainnet outages.

Receive detailed performance reports under peak load, validating your rollup's TPS, proof generation time, and gas costs before mainnet launch.

Identify and eliminate bottlenecks in your prover network and sequencer with stress tests that simulate real-world transaction floods and adversarial conditions.

Accelerate your development cycle by integrating load testing early, catching critical path issues weeks before scheduled audits and deployments.

Deliver a hardened, performance-validated codebase to security auditors, reducing review cycles and focusing their efforts on cryptographic soundness.

Pinpoint inefficient proving circuits and resource allocation to significantly reduce your long-term operational compute costs.

Build investor and user confidence with verifiable proof of your rollup's resilience under load, backed by our testing methodology and reports.

We establish performance benchmarks by profiling your current proof generation pipeline under normal load. This identifies initial resource constraints and inefficiencies in your proving logic.

We systematically overload individual components (prover, witness generator, verifier) to find breaking points. This reveals the true capacity limits of your architecture.

We simulate sustained high load over extended periods (12-48 hours) to uncover memory leaks, state bloat, and thermal throttling issues that cause gradual degradation.

We inject real-world failures (node crashes, network partitions, RPC latency spikes) to validate system resilience and recovery procedures under adversarial conditions.