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Struggling with integration testing because you need a real Postgres SQL database running? This video walks you through how to use Speedscale's proxymock to easily record and mock a live Postgres connection. You'll see how to: By the end, you'll be able to create realistic database mocks for your testing and development, saving you time and hassle.

Andrew Hillier sits down with Dan Ciruli, who leads the cloud native product management team at Nutanix. Dan’s got some great stories from his days at Google—back when cloud native and Kubernetes were just getting started, in addition to the knowledge and wisdom he picked up along the way.

Proxymock allows you to record real interactions between your application and a MySQL database. Use proxymock to simulate your database during local development and testing. Get real data without running a live MySQL server. Modify mock responses to fit your testing needs. Simplify your testing workflow and replicate production data easily.

Struggling with integration testing because of a Postgres database dependency? Testing can feel impossible when you need to replicate realistic data in Postgres. That’s where Speedscale’s Postgres Mocking Tool comes in. Speedscale drops a recorder into your live system, observes all Postgres traffic, and shows you the actual sequence of statements and responses—making it easier than ever to test reliably.

Want to do integration testing but can't replicate your MySQL database? Speedscale's MySQL mocking capability records a live system to create a digital twin of your database. You'll get full-fidelity information, including SQL statements and response sets, so you can easily modify it for your testing purposes.

Pair Playwright with LLMs to plan, generate, refactor, and monitor end-to-end tests, without shipping hallucinations. This webinar showcases practical workflow: ground models with fresh docs, driving the browser via Playwright MCP, auto-fixing failing tests, refactoring to POMs, add API checks, and reusing the same suite for synthetic monitoring in Checkly. Chapters.

In this video, we'll show off how to use the smart_replace_recorded transform to record a response from a server and use it in subsequent responses. This is handy for making your mock servers more realistic.

Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?

Redacting PII (DLP): Speedscale can be configured to redact personally identifiable (PII) or other sensitive information (PII) from traffic via it's data loss prevention (DLP) features. This redaction happens before data leaves your network, preventing the Speedscale service from seeing the data at all. However, the overall shape or structure of the data is retained in order to facilitate useful testing against systems.