How to Mock APIs in Kubernetes
In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.
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Service Mocking with Internal Developer Platforms
Service Mocking can accelerate dev cycles, especially as part of Internal Developer Platforms.
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Top Use Cases for Mock Services in Software Development
Mock services are a powerful tool for accelerating software development. Learn the top use cases for mock APIs in our blog.
Traffic-driven Testing in Kubernetes
Maximize Kubernetes app reliability with Speedscale's traffic-driven testing, ensuring high performance and stability under varied conditions.
Revolutionize Platform Engineering with Traffic Replay
Unlock enhanced platform engineering with traffic replay for real-world performance testing, ensuring faster feature delivery with consistent quality.
Gatling vs. Speedscale for Kubernetes Load Testing
Curious about Gatling load testing for Kubernetes? Learn how it compares to Speedscale when it comes to functionality, setup, CI/CD integration & more.
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Top Tools to Help Debug Kubernetes Applications
Kubernetes helps bring order to chaos as you scale. But debugging in the cloud brings its own set of challenges. We review the top Kubernetes debugging tools.
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Comparing Developer Environments: An Introduction
Learn the different types of developer environments, how they work, who they are best suited for, and where to start.
Speedscale vs. LocalStack for Realistic Mocks
LocalStack & Speedscale are both notable API simulation tools. Here’s how they compare across usability, monitoring, scalability, and customization.
Advantages of Service Virtualization Over Service Mocking
Service virtualization vs. mocking vs. stubs (or test doubles/fake APIs)–In Part 2 of our series, learn the benefits, drawbacks, and when to use each.