JMeter is used by a team of four performance engineers. We monitor tasks on the API level, so all of the requests are hitting individually.

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We have multiple use cases. We have APIs integrated for functionality. We're using JMeter for performance testing those APIs.

There are about 80 people working on this project, and about 12 people are using JMeter for performance testing.

Approximately 10% of people are using JMeter in my organization, and some people are using PureLoad, which is a paid tool.

We're using version 4. The solution is deployed on an Azure public cloud.

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We use Apache JMeter to test the performance of our platforms and applications.

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We have a couple of applications in banking.

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We have a Neotys slave server configuration where we have one server that caters to three servers, and we test most of the load on Apache JMeter, particularly for a hundred users. We test the load for web applications, services, and the rest of the APIs, though our current setup for Apache JMeter isn't that big.

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I consider Apache JMeter to be a fundamental tool in the industry for performance testing. Its primary advantage lies in being free, making it accessible to everyone. The platform boasts a wide range of plugins, regularly updated, and has a substantial community. You can find information on almost any topic in the community forums or Q&A sites related to code.

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My clients are using it for BI reporting dashboards and executing dashboards. It's basically a reporting tool.

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We use the solution for performance and security testing.

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We use this solution mostly for creating scripts, load testing, and performance testing. If my client doesn't have a tool or I don't have a tool, I try to leverage JMeter because it's an open-source tool.

I personally use JMeter for things which cannot be covered by our load testing tool, which is OATS, Oracle Application Testing Suite. This is a tool that was developed by Oracle but is no longer in use because Oracle has stopped developing it.

The solution is deployed on-prem and on private and public clouds.

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We are using this for performance testing and some automation. We consolidate the test data in our own systems and then use an API to send this data to JMeter. The software testing team then uses it to perform all the tests they wish to do. Nowadays, we are mainly focused on regression testing and working with that.

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Load testing is something that we used to do on Apache JMeter. We have regular releases every two weeks with varying features and modules. For major releases, where most of the EPS are modified or new features are introduced with new pages, we perform a performance test once every three to four months. We have a fixed schedule for performance testing before the sale, such as Thanksgiving and Black Friday, to ensure stability and performance during the sales period.

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We primarily use it for conducting different types of performance testing, such as load testing, spike testing, and endurance testing.

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We utilize it solely for load testing and performance testing. 

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Apache JMeter's key feature is its ability to manage load profiles, gradually increasing requests over time. This was crucial for us as we tested our application, handling unique protocols and increasing load steadily. JMeter helped identify bottlenecks by measuring response times as we increased request flow rates. This data guided us in optimizing our system's performance and scaling hardware when needed. Recently, new tools like Platinum Consultant have emerged, but I haven't explored them thoroughly. My colleagues prefer these newer tools over JMeter.

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The primary use case for the solution is to test web applications.

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Apache JMeter is utilized for load testing of applications such as APIs and web services. Various types of load testing can be conducted, including stress tests and load tests. It supports different types of protocols, such as HTTP, HTTPS, SFTP, and others.

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We use this solution for functional API testing, and performance testing.

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I use JMeter for concurrency and some backend services. We are also using JMeter to apply our tests within our framework by sending some requests to JMeter to assess our application's performance. My company is developing software based on data analytics that produces insights and graphs like Tableau or Power BI. We use JMeter to test the graphs, how the tables are rendered, and how long it takes to render some applications. 

For instance, we have a problem with one of our clients that use some complex scenarios or queries that take too much time to retrieve from the application or render to the end user. We ran a couple of tests on the application using JMeter and spotted the service or request that was taking too much time.We alerted the developers about this, and they took the appropriate action to fix this problem. Afterward, we run another cycle of JMeter to ensure everything is working as expected.

There are two modules. The analytics module is the interface for the stakeholders and company decision-makers. The number of users isn't that big, unlike the retail applications websites. It's 500 users at most. The other module is deals with data volume. We are currently doing some POCs to check whether we will benefit from JMeter in this area because it's not a concurrency issue. It's a data volume issue.

We have a hybrid deployment because we are using JMeter to assess the performance of our products. If the product is deployed on the cloud, we use JMeter on the cloud. If it's on-prem, we are using it on-prem. At my previous company, we mainly used JMeter on-prem.

I expect that we will continue to rely more on JMeter, and we have multiple DevOps pipelines using JMeter to test another module in our application.

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I mainly use JMeter to capture the traffic of the most-visited page to see how much load a particular page is getting and how many users are using that page for a particular amount of time. I've also used it to capture APIs for particular pages.

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We use Apache JMeter for performance testing, including the response time of our websites for multiple users.

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We primarily use the solution for performance and delivery testing.

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We use JMeter for performance testing. Our testing team has 50 to 60 people.

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I've used JMeter in conjunction with Selenium, Java, and Log4j for logging. I used it before
I ended that contract in August. Its version was up to date at that time.

It was used for an e-commerce site that is specialized in C-PAP or weaving machines in effect. Their max was a thousand people logged in at once. I, of course, pushed the boundaries on that, but it was to test the performance of the website, and of course, I'm had to try subsystems, database interactions, etc.

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We primarily use the solution to manage our capabilities. Wherever the business goes, we need to work within the expected benchmark. In terms of the user bases we deal with, most of these are products from different locations with different types of functional flow-out. There are environmental integrations also running in the background, which a user is basically accessing while going through a particular workflow. 

We'll also handle the reporting section of our data management responsibilities utilizing this system.

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The use cases are mainly for performance testing and for test case management of the different APIs.

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We use Apache JMeter for the load generation scripts for performance testing.

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We use Apache  JMeter for API testing. Our latest task combines test cases with our CI/CD pipeline for deployment to Kubernetes. Tests are developed locally and automated for the build using standard Unit and Integration testing techniques. Once deployment is successful to Kubernetes, we develop the JMeter tests for automation in promotion scenarios. Thereafter, once a deployment is successful, we can automate promotion to the next level based on test success. View full review »

I've been using JMeter mainly for performance testing and some repair testing as well.

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I am using JMeter only to test some web services.

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Regardless of, whether it is used for personal performance, load, volume, UI test, or functional test Apache JMeter is the best tool on the market.

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Our primary use case for the solution is comprehensive performance testing. It measures how our applications are doing overall with a lot of users. For example, if we want to simulate 100 users doing transactions simultaneously, we want to see if our app handles it well and how fast it responds. In addition, we can utilize the solution to identify time spent on operations.

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We use this solution to load test functional behavior, and measure performance.

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I use the solution for performance testing (Load testing, Volume testing and Endurance testing).

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We use the solution for performance distributing testing.

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Our company uses the solution for performance testing on web applications, API load testing, and automation of APIs and web applications. The solution provides three streams of use. 

We also integrate Selenium with the solution to perform automation testing. 

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We are in the financial industry in India and carry out performance testing. We deal with  SWIFT messages and financial messaging systems. A few years ago we had 2 million transactions in five hours; today it's 2 million in two hours. To measure these performances, I use JMeter for regression. We have Exadata, Exalogic infrastructure. We are users of JMeter and I'm a technical specialist. 

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We've been using Apache JMeter for load testing, spike testing, and endurance testing. We use the solution mostly for nonfunctional use cases, except for the security aspects, because those aspects require a different tool altogether.

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I use the solution in our organization for load testing.

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When I was last using JMeter, we were simulating 200 concurrent users and evaluating performance based on transaction times. We were defining SLAs based on the results.

Essentially, we created load scenarios and testing different ones using different workload models.

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The solution is primarily used for load testing.

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There's a third-party platform that is getting migrated to, so with the newer version migration, we were looking to see if there are any performance degradation with the migration. The product platform assures the user loads that we are planning to have on the system. Nevertheless, we wanted to have validation from a business perspective. We wanted to see that it'll still support the loads that we are looking at.

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We're primarily using the solution for its performance. It's on our data center.

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The tool helps us in the capacity assessment planning for our services. It helps us to make sure that the APIs will be able to afford the traffic that we expect to get from these services in the production environment. 

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We are using Apache JMeter for automation and for processing activities of our clients. Additionally, it is used for testing.

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We primarily use the solution for testing. We have three types of testing. One is the APA testing, and the web, and one is mobile. All have been recorded through this protocol.

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We mainly use this product for load and endurance testing.

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We are in the service industry. We implement it for our customers. We recommend the right tool and set it up for them. So, I've not had any hands-on experience in my current role, but I have a good understanding or a fair idea of the tool's capabilities. I have a team that takes care of the technical aspects.

It is an open-source solution. So, typically when you don't want to make a heavy investment, and you want to do some level of performance testing, Apache JMeter is used. 

It is typically on-premises, and it has also been on the public cloud. It could be Azure, or it could be AWS. It is very rarely on GCP.

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I am using this solution for a banking use case. We have an older version of this solution. We are planning to upgrade to a newer version.

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This is a cost-effective tool, which provides people the ability to do POCs without worrying about costs.

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I set a script reporting and execute test report and analysis on almost all stages of the performance cycle except in regards to requirements and the environment.

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It is specifically used for performance systems. It is used for identifying the areas where we need to improve the application bottlenecks and for load testing. We are using its latest version.

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I mainly use JMeter to check network capacity.

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My main use case of JMeter is for web application performance testing as well as for API performance testing. We are customers of Apache. 

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We use Apache JMeter for lower-end performance testing. Sometimes we use it for Rest API testing, as well.

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We use it to measure the performance of the system and for balancing.

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Our use cases are for applications such as E-commerce sites where there are multiple concurrent users. In some cases, there is also API load testing where a high number API calls are required for load testing. 

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Our primary use for it is testing websites: load testing and performance testing.

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We primarily use the solution for API testing.

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Our primary use case for the solution is performance testing for applications, and we deploy it on the cloud and on-premises.

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I was experimenting with Apache JMeter. I was doing a proof of concept for myself to see if it fit my needs. I wanted to compare it with LoadRunner to see how it compares in terms of recording, ease of use, and functionality.

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In general, the primary use case of this solution is for performance testing and load testing.

Typically it is for load tests. They have to focus on three metrics including throughput, response times, and the utilization of the resources including the CPUs.

We are delivering some bank houses with performance tests, through JMeter.

The deployment model varies depending on the client. Some have a private line.

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I implement this solution for my clients.

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We are using it for load testing. We test other companies' programs.

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We are writing scripts using various tools in multiple environments. We have tests set up where you have to pass the credentials in to get a session ID, and it sets and checks the cookies. Then, we check the response values and pass them on to the next function.

We have this solution integrated with Jenkins and we also use it for database performance testing.

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We primarily use the solution for performance download testing.

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We are using Apache JMeter for profiling and stress testing the application. It is a part of our delivery architecture to stress test the application. It is a part of the build chain. It is not just something that we use internally to verify what we are going to use or going to do.

In terms of a specific use case, we are using Apache JMeter to simulate user engagement. Our software is about customer engagement, and we use JMeter to simulate the customers and engage them on our platform as aggressively as we can.

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I am using the solution for load, endurance, and performance testing.

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