Speedscale vs. HyperTest: API Testing Comparison
API testing is a vital part of the development lifecycle. In this comparison piece, you’ll compare Speedscale and Hypertest and show where they stand in terms of API testing.
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Top 5 JMeter Alternatives
In this post, discover the top 5 alternatives to JMeter for load testing, including k6, NeoLoad, Speedscale, Gatling, and Locust.
Top 5 K6 Alternatives
There are several K6 alternatives with various degrees of reporting, ease-of-use and extensibility. We review 5 of them here!
A Conversation with Sephora: Speedscale vs. JMeter for load testing
In a conversation with Sephora's Senior Performance Engineer, Diana Manulik discusses why their current load testing tool, JMeter, wasn't meeting their needs for reporting, and why they chose Speedscale.
Speedscale helps Sephora create mocks faster
In this conversation with Sephora's Senior Performance Engineer, Diana Manulik discusses how she uses Speedscale and WireMock to generate mocks much faster.
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A Guide to Kubernetes Visibility: Best Practices and Tools
Explore best practices and essential tools for visibility with Kubernetes infrastructure and traffic to optimize your system's performance and security.
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How to Capture Network Traffic in Kubernetes
Figuring out what APIs are doing in Kubernetes can be difficult. Read the pros and cons of WireShark, Kubeshark and Speedscale and when to use which.
Testing LLM Backends for Performance with Service Mocking
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications.
Webinar Replay: The 4 Biggest Challenges of Scaling Cloud-Native AI Workloads
Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.
The 4 Biggest Challenges of Scaling Cloud-Native AI Workloads
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.