Goku

Goku is a high‑performance, HTTP load‑testing engine written in Rust that empowers developers to evaluate the resilience and scalability of web services. By simulating realistic traffic patterns—ranging from a handful of concurrent clients to thousands—it provides instant feedback on how an API or microservice behaves under pressure. This is particularly valuable for teams that need to validate performance guarantees before a release, detect bottlenecks early in the development cycle, or compare infrastructure upgrades.

The server exposes a rich set of command‑line options that let users tailor each test to their specific scenario. Clients, iterations, duration, custom headers, and request bodies can all be specified on the fly, or loaded from a YAML scenario file. This flexibility means Goku can mimic simple GET requests, complex POST payloads with authentication headers, or even multi‑step workflows that involve stateful interactions. The output includes structured, real‑time metrics such as request latency distributions, error rates, and throughput, which can be parsed by downstream monitoring tools or visualized in dashboards.

For AI assistants built on the Model Context Protocol, Goku offers a straightforward integration path. An assistant can issue an HTTP request to the Goku server, providing target URLs and payloads described in natural language. The assistant then receives a structured response containing performance statistics, enabling it to recommend capacity planning adjustments or code optimizations. Because Goku is lightweight and stateless, it can be deployed as a microservice within a CI/CD pipeline or on-demand in cloud environments, ensuring that performance testing remains an integral part of the development workflow.

Unique advantages of Goku include its Rust‑powered speed—allowing it to generate thousands of concurrent requests with minimal overhead—and its modern feature set, such as YAML scenario files and real‑time metrics streaming. These traits make it a compelling choice for developers who need a reliable, extensible load‑testing tool that fits naturally into automated testing pipelines and AI‑driven performance analysis workflows.