Improve LLM performance using actual traffic to validate your code.
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.
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Volume Testing: Definition, Benefits & How to Get Started
Volume testing - also known as flood testing - examines the stability and response time of a system. Learn why it matters and how to get started.
Traffic-driven Testing in Kubernetes
Maximize Kubernetes app reliability with Speedscale's traffic-driven testing, ensuring high performance and stability under varied conditions.
Service Mocking with Internal Developer Platforms
Service Mocking can accelerate dev cycles, especially as part of Internal Developer Platforms.
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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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.
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.
Speedscale vs. WireMock for Realistic Mocks
WireMock & Speedscale are both notable API simulation tools. Here’s how they compare across usability, monitoring, scalability, and customization.
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A Guide to Determining Throughput in Performance Testing
Learn about throughput in performance testing and get a step-by-step guide for determining maximum TPS with production traffic replication.
What is Load Testing? Best Practices for Getting Started
Learn the basic principles of load testing, its benefits, how it works, and the steps to get started so you can build reliable & scalable systems yourself.