Speedscale vs. HyperTest: API Testing Comparison
Compared to UI testing, API testing can often feel abstruse because it primarily focuses on the underlying code and is mainly performed at the integration...
Posts about load testing
Browse 9 posts in this category
Top 5 JMeter Alternatives
Load tests ensure applications perform well under heavy loads and traffic spikes. That's why it's paramount for developers and QA engineers to choose the right...
Speedscale vs. SmartBear ReadyAPI for API Testing
Application programming interface (API) testing helps verify that endpoints behave as expected, handle various inputs correctly, and return the appropriate...
Top 5 K6 Alternatives
K6 is an open source performance testing tool that lets developers and QA engineers simulate load on a system to identify performance bottlenecks before they...
Webinar Replay: 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.
Regression Test Performance Best Practices
Regression testing is not a new concept. However, historically, it has been limited to functional testing due to the setup, configuration...
Traffic-driven Testing in Kubernetes
Testing is crucial for ensuring the reliability and stability of your Kubernetes application in a containerized environment. Unlike traditional software...
Revolutionize Platform Engineering with Traffic Replay
Platform engineers focus on developing an internal developer platform to increase velocity during the software development process.
Gatling vs. Speedscale for Kubernetes Load Testing
Gatling and Speedscale are two popular performance testing tools and load testing web applications. The first version of Gatling was released in 2012 by its...