Use traffic to build your QA automation, no scripting required.
Run traffic-based API tests for integration, performance, and chaos testing. Integrate with your CI pipeline.
Automatically generate API tests based on observed traffic. Speedscale sidecars can listen, redact sensitive data and do the heavy lifting for you. Connect Speedscale tests to CI for fast Integration, Performance, and Chaos testing.
"asserters": [
{"type": "http_statuscode"
},{"type": "http_headers"
},{"type": "http_response_cookies"
},{"type": "http_response_body"
}]
API testing should be automated.
We intelligently identify values such as authorization tokens, timestamps, and unique ID’s and replace them with correctly persisting, sanitized values before replay.
Scripting is slow with K6, Locust, JMeter, or Gatling. Preview how your app will behave under production load quickly using Speedscale. Spin up necessary backends with our autogenerated mocks in seconds. Run isolated performance tests and tune rapidly.
Do you know how you’ll respond to unstable 3rd parties? Speedscale can simulate errors, random latencies, and non-responsiveness coming from your 3rd parties. Simply change a config file. Replay traffic.
Compare new and past API behavior.
Does this update hurt customer experience? Will you miss your SLAs?
Gain confidence in your changes.
Speedscale allows you to quickly replay past traffic and increase confidence in your changes as part of CI. Autogenerate mocks that represent 3rd parties and dependencies based on real traffic in seconds.
Speedscale is a traffic replay framework for API testing in Kubernetes.
There are lot of steps that are involved in creating an application in Kubernetes. First, you need to
Nate Lee here, and I’m one of the founders of Speedscale. The founding team’s worked at several observability
API Observability isn’t exactly new, however it’s popularity has seen rapid growth in the past few years in
