JMeter, from Apache, is a load and performance testing tool.
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Azure DevOps Server
Score 8.4 out of 10
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Azure DevOps Server (formerly Team Foundation Server, or TFS) is the on-premise version of Azure DevOps. To license Azure DevOps Server an Azure DevOps license and a Windows operating system license (e.g. Windows Server) for each machine running Azure DevOps Server.
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BMC AMI DevX
Score 9.3 out of 10
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BMC AMI DevX is an integrated software platform that provides mainframe development teams with modern Application Development and DevOps capabilities. The solution connects traditional mainframe environments with contemporary development practices through components for source code management, testing, debugging, and analytics.
LoadRunner and Silk Test were the tools I used in the past to compare with JMeter. I thought LoadRunner had a more commercial appearance and it comes with HP support from your service provider. It also comes at a steep price. JMeter and LoadRunner have a similar learning curve …
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.
Azure DevOps is good to use if you are all-in on the Microsoft Azure stack. It's fully integrated across Azure so it is a point-and-click for most of what you will need to achieve. If you are new to Azure make sure you get some outside experience to help you otherwise it is very easy to overcomplicate things and go down the wrong track, or for you to manually create things that come out of the box.
I love these tools! However, my company has not yet transitioned from SCLM to a modern repository, and this is causing most of our developers to remain within TSO for all their development. It's been a slow adoption up to this point, but we are moving toward more modernization this year and next, so with any luck, we'll see usage pick up. Success depends on the speed at which your management is willing to move.
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.
The tool I use is fairly intuitive. It doesn't take long to be using it full time.
Changing the layout/view is fairly easy. This allows it to fit individual preferences.
It is helpful to be able to view specific windows in full screen. Usually, I have it set up to view multiple windows, but sometimes, I just want to view one window in full-screen mode.
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.
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
Because we are a Microsoft Gold Partner we utilize most of their software and we have so much invested in Team Foundation Server now it would take a catastrophic amount of time and resources to switch to a different product.
The purpose related to performance and load testing through Apache JMeter works fine but the usability of the tool should be improved quite a lot. If someone starts with the Jmeter fresh without prior experience, they need to put more efforts in understanding the tool. The UI is not that great which is the main reason not to give high rating on usability.
For standard users the interface is friendly. but if you are a manager some tools are a little confusing to use, like the query system that you always need to create from scratch. Templates should be more helpful for queries and for standard procedures that you need to duplicate PBIs over time. The search history of Work Items is a little painful to use.
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.
I have not had to use the support for Azure DevOps Server. There have never been any issues where I was not able to figure it out or quickly resolve. Our Scrum Master has used support before though, and the service has always been prompt and clear with a customer-focus
Support has been amazing compared to Optim. Further, new features are very regular with File-AID - I can't remember the last time Optim had a significant update. File-AID support is very receptive to feature requests and reported bugs, including sending out hotfixes quickly.
The installation teams for these products have never complained about any difficulties during the integration of this range of tools into our IT system.
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.
In my opinion, DevOps covers the development process end to end way better than Jira or GitHub. Both competitors are nice in their specific fields but DevOps provides a more comprehensive package in my opinion. It is still crazy to see that the whole suite can be used for free. The productivity increase we realized with DevOps is worth real money!
The names may have changed over the years, but anyone who has been around for a while will recognize them. For Software Configuration Management, I have used TSO/ISPF/SCLM, Panvalet, ChangeMan, Librarian, Endevor, and now Code Pipeline. All of them met the basic requirements. All of them had their advantages and disadvantages. Code Pipeline, however, stands head and shoulders above the rest in simplicity, completeness, effectiveness, efficiency, and elegance.
It has streamlined the pipeline and project management for our agile effort.
It has helped our agile team get organized since that is a new methodology being leveraged within the Enterprise.
The calendar has improved visibility into different OOOs across the project team since we all come from different departments across the larger organization.
Possitive impact. It is main product suite to enable devops in the mainframe applications team. All developers use these on day-to-day work.
Negative impact: Recent usability issues caused disappointment in the application teams. It became hard motivate the development community to increase usage.
