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Speedscale
Automatically generate API tests and mocks using real production traffic.
What it does
Captures live production API traffic using lightweight Kubernetes sidecars or reverse proxies. Automatically creates realistic load tests, stress tests, and regression suites from traffic. Generates intelligent service mocks and virtual environments to isolate microservices during testing. Attaches automated performance and payload validation reports directly to Git pull requests.
Why it works
Uses actual user traffic instead of synthetic or guessed test scripts for true-to-life coverage. Decouples microservice team dependencies by automatically mocking downstream APIs. Accelerates CI/CD delivery pipelines by shifting realistic performance testing left. Reduces staging infrastructure costs by eliminating dedicated, static staging environments.
Category: Utilities & System Tools
Team Size: 11-25
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As of 2026
Utilities & System Tools
Revenue: $1M-$10M ARR
Automatically generate API tests and mocks using real production traffic.
Overview
Speedscale is a developer tool and API testing platform built specifically for Kubernetes environments. It captures real-world production API traffic and automatically converts it into reusable test scenarios and mock dependencies. By simulating production workloads and third-party API behaviors in lower development environments, Speedscale prevents regressions and performance bottlenecks before code reaches production. It integrates directly into CI/CD pipelines to replace fragile manual test scripting.
Funding status: Funded
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: Go, React, Kubernetes, Helm, Docker, AWS
Platform: Web
Integrations: Kubernetes, Docker, GitHub Actions, CircleCI, GitLab CI/CD, Postman, Jenkins, Datadog
Founder story
Speedscale was founded in 2020 in Atlanta, Georgia, by Ken Ahrens, Matthew LeRay, and Nate Lee. Drawing from decades of combined experience in observability and APM at New Relic, Observe, and CA Technologies, the founders realized that testing distributed Kubernetes microservices was overly manual and prone to unexpected production failures. They created Speedscale to let production traffic automatically build environment-accurate test suites.
What it does
- Captures live production API traffic using lightweight Kubernetes sidecars or reverse proxies
- Automatically creates realistic load tests, stress tests, and regression suites from traffic
- Generates intelligent service mocks and virtual environments to isolate microservices during testing
- Attaches automated performance and payload validation reports directly to Git pull requests.
Who it's for
- DevOps Engineers
- Site Reliability Engineers (SREs)
- Backend Software Engineers
- QA & Test Automation Teams
Why it works
- Uses actual user traffic instead of synthetic or guessed test scripts for true-to-life coverage
- Decouples microservice team dependencies by automatically mocking downstream APIs
- Accelerates CI/CD delivery pipelines by shifting realistic performance testing left
- Reduces staging infrastructure costs by eliminating dedicated, static staging environments.
Growth strategies
- Participation in Y Combinator (Batch S20) to build early Silicon Valley dev- tool momentum
- Strategic seed funding rounds led by Sierra Ventures and Grotech Ventures
- Developer community outreach via podcasts, engineering blogs, and cloud- native meetups
- Ecosystem distribution across Kubernetes communities and popular CI/CD tool marketplaces
Alternatives
Comparison overview
- Speedscale automatically captures real production API traffic to build mocks and tests, whereas standard load-testing tools like k6 require engineers to manually write load scripts.
- It operates via Kubernetes sidecar proxies to continuously capture actual payload patterns rather than static simulated requests.