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.

Measuring throughput and latency is a critical step in load testing software to ensure application performance and stability. In this article, we’ll discuss essential considerations before beginning performance testing and provide a detailed, step-by-step guide on leveraging production traffic replication in Kubernetes. This approach helps you accurately determine your software’s maximum throughput during performance testing.

Postman is highly popular in the testing tools space for verifying API requests. While its use for general API testing is widely adopted, conducting load testing with Postman is not as straightforward. In this post, we assume that you have some experience working with Postman and are familiar with the fundamentals of creating and sending requests. If you’re new to Postman, there are numerous resources available in the Postman Learning Center.