Capacity Reservations for Large Load Tests

Scalability is one of the greatest strengths of using a cloud-based architecture.  However, there are occasionally limitations to how quickly we can scale. This is especially true for high volume load testing.  In these scenarios, we need to instantaneously scale a practically nonexistent cloud architecture to our maximum desired size.  It is not always guaranteed that cloud providers like AWS will have these resources idle and waiting in the necessary quantities.  In this post we willRead More →

Log4j and RedLine13

A zero-day vulnerability was uncovered in the ubiquitous Log4j library.  This dependency is used for event logging purposes (as its name suggests).  However, the vulnerability allows for remote access and code execution on affected machines.  The fix is to use an updated version of this library (2.15.0 or higher) which prevents this. We conducted an internal code review at RedLine13 and we do not use Log4j (or related dependencies like Log4php) directly within our systems.  JMeter does however use Log4j and thusRead More →

Parameterizing JMeter Tests from a CSV Data Source

When designing a load test, it is a common goal to emulate real-world requests to the best extent possible. It is easy to generate thousands of requests with JMeter. However, there is often a need to generate many different requests. Using parameterization, this is a straightforward task. In this brief post, we will illustrate the steps of parameterizing your JMeter tests from a CSV data source. Step 1. The first element we want to add toRead More →

Do-it-Yourself JMeter Testing

JMeter is one of the most popular load testing frameworks. However, to use JMeter at scale requires supporting infrastructure. In this post, we will be comparing and contrasting do-it-yourself JMeter testing versus managed JMeter load testing. With the rise of cloud computing architectures, it has become increasingly the standard to test using cloud-based resources. This means writing scripts to provision servers, coordinate load generators, and handle data collection.  Load testers using JMeter have two general options.Read More →

RedLine13 versus Do-it-Yourself Load Testing

JMeter is one of the most popular load testing frameworks. However, to use JMeter at scale requires supporting infrastructure. In this post, we will be comparing and contrasting managed versus do-it-yourself (DIY) JMeter load testing. With the rise of cloud-based architectures, it has become increasingly the standard to test using cloud-based resources. This means writing scripts to provision servers, coordinate load generators, and handle data collection.  Load testers using JMeter have two general options. They canRead More →

Dynatrace integration with JMeter

Dynatrace is a leader in application monitoring, the process of measuring application performance, availability and user experience. Dynatrace has many integrations. This article will focus on the Dynatrace integration with JMeter and how that can add an additional dimension of analysis to your load tests. Why use Dynatrace when load testing? While load testing tools provides a wealth of information at the network level, sometimes it is desirable to analyze what is going on at theRead More →

load testing alerts

Running load tests can often yield unexpected results which leads to diagnosing what went wrong. However, sometimes the reason is not the load test but the load agent environment, such as low disk space. RedLine13 makes it easy to know with load testing alerts without any extra work. RedLine13 has several alerts which are highlighted in red in the Summary section of a RedLine13 load test: Load Agent CPU Usage Load Agent Low Disk Load AgentRead More →

Evolution to Performance Engineering

David Milette of SQALogic kicked off LoadTestWorld with his talk on the evolution to performance engineering. David explains that this means that the way to develop and manage applications is evolving. This evolution to performance engineering is pushing organizations to think about quality testing in new ways to ensure it follows the evolution that is underway. DevOps does not signify that testing and quality is out of scope but rather that it is embedded in everyRead More →

GitHub Actions for JMeter

GitHub Actions are now an integral part of developers’ ecosystem to automate workflows. NaveenKumar Namachivayam spoke at LoadTestWorld about you can leverage GitHub Actions for JMeter test plans to run performance tests for developers’ events such as push, merge, new release etc. GitHub Actions help you to: automate workflows build, test and deploy your code right from GitHub implement your CI/CD workflow NaveenKumar shows you how to integrate your test plans into GitHub Actions for JMeterRead More →

Merging Very Large JTL Files

RedLine13 has made changes to handle the cases where it is necessary for merging very large JTL files, which are output by JMeter.  RedLine13 has for years been able to handle large JTL files needed to support high volume load tests with no problem.  Now RedLine13 can handle JTL files of 70GB and greater.  We’ve included details on why we made the change for those that want to understand more. A customer was running tests whichRead More →