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!
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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.
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.
Reducing Engineering Cost using Contract Developers
Outsourced engineering teams are gaining in popularity and many investors have started to treat them as a requirement.
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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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.
The Ultimate Guide to Performance Regression Testing
Regression testing is not a new concept. However, historically, it has been limited to functional testing due to the setup, configuration, and maintenance required to simulate a production environment accurately. Many teams have found the cost outweighs the benefits, but with the advent of production traffic replication (PTR), it’s become a viable option to regression test performance, especially for those running applications in Kubernetes.