![]() It provides some pretty thorough documentation from getting started to complex features such as listeners. DocumentationĪpache JMeter documentation can be found on the official JMeter website. You can find more detailed information on how to set up REST Assured here. Of course, there is support for many build tools, so you can just point your dependency resolver to some public (Maven) repo. In order to use it, you have to set up a new Java project and include it as a library for your project. ![]() Installing REST Assured is a bit of a different experience. For more detailed information on how to set up Apache JMeter, see this page. Go to folder where you have unpacked the archive, go to bin subfolder, and run jmeter.bat (or similar for your operating system, if other than Windows). Installing Apache JMeter is very simple: Go to the download page, pick the ZIP or TAR, download the archive, unpack it, and you’re ready to go. There is one prerequisite: Both JMeter and REST Assured require Java, so you need to have Java installed on your computer in order to run JMeter or REST Assured. In this article, you will learn the pros and cons of both of these tools and where they fit best in your existing REST API projects. You can learn more about how you can use them in practice from here and here. Apache JMeter and REST Assured are two popular REST test tools for testing REST API services. Flood is a flexible, and complete, distributed load test platform.For this, you need the right tools. Leverage the cloud to obtain economy of scale from your load tests, or use your existing on-premise compute and network infrastructure to cater to your specific needs. Specify where in the world you want to load test from, and Flood will spare you the headache of configuring, building, and provisioning a load test platform yourself. There’s no need to plan or provision expensive load generation infrastructure in advance. Combined with the use of cloud-based provisioning, this means Flood can scale from one to thousands of load generators within minutes, without significant overheads or bottlenecks within the load generation itself. Unlike the majority of load test solutions that rely on one machine controlling many remote devices (master/slave), Flood uses a truly distributed, shared-nothing infrastructure, where each machine is independent and loosely-coupled. Take the heartache (and remote method invocations) out of distributed testing with JMeter, and use Flood instead. While JMeter on one machine is relatively straight forward, JMeter on many devices is not for the faint-hearted. It also includes API integration with Flood, so you an automate your load testing pipeline, from continuous integration to deployment, Flood makes it simple. Take your scripting to the next level with Flood’s Ruby-JMeter, an open source library that gives you an easy-to-use domain-specific language for fluent communication with JMeter. Flood gives you a load testing dashboard to examine all of your results in real-time, whether it’s from one load generator or many. No need to install additional software, no need to collate, and manually analyze results. ![]() Take advantage of Flood’s advanced test management and reporting features, from the convenience of your browser. If you already have a JMeter test plan, you can upload that along with any supporting data and let Flood run it for you, either on-premise or in the cloud. ![]() Flood makes it easy to get started with your first JMeter test. You can download a copy of JMeter test plans from Flood and extend them further within JMeter itself, or you can continue to build, test, and run load tests direct from your browser instead. The Test Builder has the added convenience of generating a JMeter compatible load test plan. Enter the target URL and let Flood build your first load test plan for you. If you’re new to load testing or have never thought about simulating load at the protocol level, writing your first load test script can be difficult.įlood’s online Test Builder helps you to get started generating load against any HTTP endpoint quickly. ![]()
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