Systems | Development | Analytics | API | Testing

The 2025 Oscars were meant to be a celebration of cinematic excellence, but for Hulu viewers, the biggest drama unfolded off-screen. As The Hollywood Reporter detailed, Hulu’s livestream of the Academy Awards suffered major outages, leaving frustrated users staring at frozen screens instead of red-carpet glamour. The Economic Times reported that viewers scrambled to find alternative ways to watch, turning what should have been a seamless experience into a PR nightmare for the streaming giant.

In today’s digital-first business landscape, enterprise software forms the backbone of operations across industries—from healthcare and finance to manufacturing and retail. When these critical systems fail, the consequences can be severe: lost revenue, damaged customer relationships, and even regulatory penalties.

If you often have to attend online calls (VoIP), most likely you’ve noticed that the audio/video quality is not always stable, and can vary widely depending on the platform used. These platforms want their calls to be as high in quality as possible, but how can the quality be measured and how can we define good quality? We need a way to directly compare the audio and video quality across different calls or even between various platforms.

Before diving in, it's important to define three key concepts: However, traditional methods often have limitations. Fixed scenarios can miss unpredictable behaviors and identifying specific bottlenecks can be challenging without real-time insights. This is where AI comes in. In the following sections, you’ll understand how Artificial Intelligence (AI) might enhance performance testing, from creating adaptive test scenarios to optimizing resources.

When building or maintaining software, one thing is certain: data is everywhere. Whether you’re running an e-commerce platform, a banking system, or a social media network, your application is handling, storing, and processing a ton of data. This is where Volume Testing comes into play. Think of it as testing your application’s ability to stay calm and composed when it’s hit with an ocean of data – thousands of records, large files, and long lists of entries.

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.