In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, explains what comes next after selecting the business-critical APIs to test first: capturing traffic. Capturing traffic for the service can be done through tools like Speedscale, GoReplay, VCR, K6, and JMeter.

As featured on CMG.org: Software development and testing is ultimately all in preparation for go-live. But what if you could predict how your go-live could go wrong? In this webinar, learn how traffic-based tests and mocks can accurately simulate peak load conditions, ensure performance, and increase your top line revenue.

Speedscale is a Y-Combinator backed startup that helps Kubernetes engineering teams build more resilient and performant containerized apps. Unlike other tools, we use agents/sidecars to record and playback sanitized traffic that you see in prod. With Speedscale, engineers can simulate production conditions, generate load, and mock third party backends modeled after real traffic patterns.

Ken walks through a Java example of the Speedscale CLI tool showing how to inspect inbound and outbound REST API calls.

Matt demonstrates the world’s simplest and least reliable Python application using Speedscale’s desktop observability tool.