Apache JMeter is one of the most popular tools for load testing. With RedLine13, scaling out your JMeter test plan on the cloud in is easy. In this video and subsequent guide, we will walk you through running you first JMeter load test on RedLine13. Getting Started When running a JMeter test on RedLine13, we begin by logging into our account, hitting “Start Test“, and then navigating to the “JMeter” tab. Obviously we will need aRead More →
RedLine13 supports the ability to merge JTL output files for offline analysis after running a load test. This alleviates the need to download and view each individual JTL output file. Premium users can merge them into one JTL for convenience. The ability to merge JTL files provides you with a more streamlined breakdown of your tests. With this, you can easily cross-examine the individual JTL files that make up the single, merged file. Data analysis SinceRead 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 →
We have recently released a new feature that allows JMeter to access the RedLine13-assigned Test ID as well as the Server ID directly from the test plan. If you already know how JMeter exposes options set at the command line, accessing this information will be familiar. (Otherwise, you may want to refer to this post for some additional context.) This information will be undoubtedly useful for a variety of purposes. However, one specific example would beRead 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 →
Senior Automation Engineer Eldad Uzman compares RedLine13 to BlazeMeter and setting up their own load test environment at MSD Animal Health Intelligence Technology Labs and the ease of using RedLine13. He spoke at the first RedLine13 Customer Advisory Board meeting. A 73 second video of the conversation has been posted on RedLine13’s YouTube channel. Read more about what other RedLine13 customers said about why they chose RedLine13 and how they’re using it. You can try RedLine13 for free.Read More →
Load testing with a high concurrent user count can be challenging in many ways. This post will tell you about how one team did it with one million user testing with JMeter and the challenges they faced. Requirements Thinklogic, a Los Angeles based consulting firm specializing in web development and custom business software solutions, was tasked with quickly building and load testing a highly scalable web-based application that would handle one million concurrent users. The highRead More →