Given current trends, odds are your next performance testing project will span multiple cloud providers. RedLine13 makes perfect sense as a framework for testing across these environments.Read More →
We recently updated the RedLine13 plugin for Jenkins for an important change which affected the latest versions of Chrome and some other popular browsers.Read More →
Our RedLine13 plugin for Jenkins can automate performance testing at build time and in continuous deployment environments. Recently, we extended this with the ability to install publicly available JMeter plugins automatically from within Jenkins. In this brief article, we will explain in a few basic steps how to enable this feature.Read More →
In this post, we will discuss inferring meaning from load test results, including interpreting your test summary metrics and key graphed plots.Read More →
Recently we added support for JDK 11 via a custom RedLine13 plugin. By activating this plugin for a JMeter 5.4 or higher load test, you can elect to run with the Java 11 runtime.Read More →
In this blog post, we will be guiding you through this one-time process of integrating AWS with your RedLine13 account.Read More →
One area where JMeter certainly excels is in its seeming infinite extensibility, including a dizzying array of plugins and multiple scripting options on top of an already versatile test designer. Along these lines, here we will be discussing how to set properties as command line options through the Redline13 user interface. Ultimately, these will be passed to load agents running JMeter, but the hard parts will be managed by the RedLine13 service. As a standalone tool,Read More →
Despite our best efforts, we have all been there before. That load test that just concluded generated thousands of errors that it shouldn’t have. It could have been a miscalculation or a shifted decimal place on estimated traffic volumes; or rather it was a configuration setting on the target machines that was overlooked. Regardless, we wish we could have intercepted that test early in its execution, possibly saving valuable time, data charges, and virtual machine costs.Read More →
Making sense of load test performance metrics and displaying in a manner necessary to drive business decisions can be a challenging endeavor. This data usually comes from multiple different sources, and collecting it can be cumbersome. One way to lessen this burden is to automate the collection of these performance metrics into a unified analysis platform. This is precisely how one customer has leveraged simple plugins and a popular time series database to effortlessly display theirRead More →
When it comes to web products, load testing plays an instrumental role in analyzing and measuring the performance of the offered features (or services) under different load conditions. Consider a scenario where the application performs well under sub-optimal (and optimal) workload but its performance deteriorates when the workload is too high! Well, it could have a major impact on the user-experience since the requests might take much longer to process than expected. This is where ApacheRead More →