Over the past month, our primary focus has been on fixing bugs (you can check our Wiki for details on those), however, we do also have some new functionality to offer - the ability to apply labels not just to tests, but to test runs as well, as well as some other improvements.

"Load, load testing, load test this, load test that, Loadero, LoadNinja, load, load, load... ugh, what should I choose?!'' - we can only imagine what the experience of choosing a load testing tool is like. The Loadero team has decided to ease the burden of choosing between testing tools by writing a comparison review about Loadero and LoadNinja. By the way, if you’re considering testRTC as an option too, we have published a similar article before, where we compared Loadero and testRTC.

We are thrilled to announce the release of Tricentis NeoLoad 2024.3, the latest update to our industry-leading performance testing platform. This release brings with it significant advancements, most notably support for Remote Terminal Emulation (RTE) — allowing organizations to performance test legacy systems.

Many software applications struggle to handle high user loads, leading to slow performance, crashes, and a poor user experience.

This article explores the best alternatives to traffic shadowing for conducting efficient load testing and refactoring. Traffic shadowing has been a popular technique, however, it’s not without its challenges and limitations. We delve into several innovative methods that promise to provide deeper insights, improved accuracy, and greater efficiency.

The month of October has brought with it multiple notable changes, such as the ability to filter tests by their labels, as well as use UUID generation packages in Loadero test scripts. Additionally, the Nightwatch.js built-in command saveScreenshot() can now be used in Loadero scripts. Read about each of these changes in detail below!

Effective monitoring is crucial for maintaining robust application performance, proactive issue detection, and efficient resource management. This guide covers ten essential monitoring best practices that developers and DevOps teams can use to improve observability and keep applications running smoothly. By following these practices, teams can ensure systems are resilient, secure, and provide a seamless user experience.

In today’s digital landscape, maintaining a smooth user experience is essential. Websites and applications are expected to perform reliably and quickly, with minimal interruptions. One effective approach to enhancing user experience is synthetic monitoring, which uses simulated transactions to test performance. This article will delve into how synthetic monitoring improves user experience and highlight its benefits, along with code examples for implementation.

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

GoReplay and Speedscale are two popular tools commonly used for load testing. Both share traffic shadowing as a core feature. This article compares both tools against the following criteria: For more Kubernetes load testing comparisons, check out our other posts.