When working with #AI in cloud environments, traditional data provisioning and software testing methods don't work because of the behavior of AI and LLM APIs. In this Cloud Native Computing Foundation (CNCF) webinar recording, we discuss the top 4 challenges of scaling cloud-native AI workloads, and the solutions developers are turning to instead.

In this brief demo, we show how engineers can build and test quickly by autogenerating traffic simulations, load and mocks from actual traffic using Speedscale.

How does Speedscale compare to Observability tools? CTO Matt LeRay quickly explains the differences in this one-minute video.

Speedscale is a Y-Combinator backed startup that helps Kubernetes engineering teams build resilient and performant containerized apps. Our production traffic replication platform is a more reliable, cost-effective, and scalable way to test and deliver cloud-native software applications. Unlike other tools, we use agents/sidecars to record and playback sanitized traffic that you see in prod. With Speedscale, engineers can generate load, simulate production conditions, and mock third party backends modeled after real traffic patterns.

A common approach in software is to start small, then move to bigger initiatives, but it's often easier said than done. The theory breaks down in production, which is why devs need new approaches.

Jeff Kwan, Principal Software Engineer, discusses how and when his team at Cimpress (parent company of Vistaprint) starts preparing for holiday load testing.

In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, explains what to consider when building the environment, including backend dependencies and data. He covers how service mocking can help companies test at a higher velocity in today's complex development environments.

In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, explains the final step: generating load and repeating the process with the goal of testing continuously and at a higher velocity.

In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, talks about why traffic-based testing (unlike manually writing script tests) can help companies move faster and test at the speed of development. He covers the top use cases and benefits of leveraging traffic as the new way to test.

In this webinar clip from "Ensuring performance: How major retailers leverage user traffic to validate code changes", Speedscale Co-founder, Nate Lee, shares which APIs should be focused on first and the reasons why.