ShadowTraffic provides a platform that generates realistic, high‑volume traffic streams to test and validate backend services under production‑like load. By mirroring live request patterns, it helps engineers identify performance bottlenecks, reliability issues, and scaling limits before deployment, ensuring smoother releases and more resilient infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Development teams often lack a realistic way to test how their backend services will perform under actual production traffic patterns, leading to undetected bottlenecks and reliability issues before release.
Solution
ShadowTraffic offers a tool that captures live request patterns from production and replays them against a backend in an isolated environment. By generating traffic that mirrors real user behavior, the platform enables performance, scalability, and reliability testing without affecting live users. Teams can run load tests that reflect true usage scenarios, quickly identify latency spikes, resource constraints, and failure points. The results integrate into existing CI/CD pipelines, supporting continuous delivery and proactive performance optimization.
Target Audience
Primary users are backend engineers, DevOps teams, and site reliability engineers who need realistic load testing for microservices, APIs, and cloud-native applications.
Features
- Traffic capture module that records live request payloads, headers, and timing characteristics
- Replay engine that reproduces captured traffic at configurable rates for load testing
- Isolation sandbox to run simulations without impacting production systems
- Detailed metrics and reporting on latency, error rates, and resource utilization during replay
- CI/CD integration hooks for automated performance validation in deployment pipelines