Likelihood to Recommend
JMeter is well suited for Java applications where the user can script the scenario once and make changes to accommodate for as many numbers of users for load test execution. The image and selection of any files or exporting files scenario is handled well.
It is less appropriate to test Ajax applications where it is required to script click per use.
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AWS Device Farm is perfect for small teams who don't have enough resources to conduct large scale testing scenarios or even large teams who would like an easier time with testing on various devices. [AWS] Device Farm makes it very easy to interact with a multitude of devices right from the browser.
Read full review Pros Easy of use - in generate load like HTTP requests, and processing/analyzing the responses. No coding is necessary at the basic level, just need to understand load testing and the infrastructure being tested. Automatic management of things like cookies to help with session state support - so you don't specifically have to worry about it or handle it Lots of testing/configuration options to suit your needs in making the right load generation (sampling requests), and analyzing the results, including any pre and post processing of the results first. Things like the Beanshell/BSF pre/post processors, response assertion, regular expression extractor, XPath extractor, CSV data set config There is a JMeter cloud service called BlazeMeter that I think would be useful for those that need to scale up high load without provisioning their own systems. I've not personally tried it though, but I recently attended a meetup presentation that highlighted nice useful features that BlazeMeter provides. One should evaluate the service if they are considering JMeter and need to expand beyond existing hardware resources. Read full review Integration with CI/CD Pipeline Diversity in Real Devices over the Cloud Pay as you go option Reproduce Issues and easily collect all kinds of logs Read full review Cons Jmeter requires many tweaks with respect to its configuration file and thread properties. users need to edit theses files themselves. There could be some interface where we can edit this fields. Jmeter cannot handle more threads and hangs up when we increase the number of threads. This causes lot of inconvenience. In these situations, user can be notified that such change would be lead to slow performance so that user can do as required. The same appears when we try to view huge files on graph listener. Jmeter should optimize the read and write access to output csv since it acts as overhead to the I/O performance. This affects our test results for the application which we are testing. Read full review Interface (CLI) not very easy. Competition has better options. Integration with IDE for test case coding. Reporting for the test scripts executed. Read full review Likelihood to Renew
Price, Wiki and user sharing. Having access to the information provided by the developers and other open source providers is key for me. The ability to share information and get answers directly is very important to success in software testing. And the price of this product currently is amazing. Too many companies charge way too much money for products that are far behind in their value and pertinence
Read full review Usability
I can jump right into a new test plan and start building from scratch. The natural progression from test plan to thread group and then designing the basic format of the process is very streamlined and smooth. With only slight modifications I can build out a very complex model from a very basic beginning.
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I have been using JMeter for the last year. By using this tool, you can make sure the system will work under varied loads. It helps us to simulate real time scenarios by creating required virtual users and make sure the application will work under load. Perform load, stress, and stability testing using JMeter.
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We had the enterprise support with AWS, so overall support experience was good with great engineers on the back providing answers. As you may know, overall AWS support is different and this is not different. Responses through the regular web support channel came easily, fast and accurate. We had questions/issues which were solved fast. Documentation is good as well, especially around the test automation pieces.
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I have used LoadRunner and Silkperformer, and so far Jmeter turns out be the easiest to use of all these. While each of them have their own ROI, Jmeter can be picked by anyone in hours and start testing within a day. While with other tools, we need to get license, install them (takes a while) and setup tests and firewalls, etc.
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I got more features and handy within AWS Device farm than
AWS Cloud9 Read full review Return on Investment Good ROI on improving the performance of the application. Finding issues in the performance. Benchmark the performance results. CON: Need skillset to create and maintain the scripts in Java. Scripts are reusable and it is executed by any user. Need Client and Server setup to execute the scripts. Read full review Quicker testing leads to faster product to market times Can deploy updates much more regularly by testing across many devices quickly Read full review ScreenShots