JMeter Load Testing:
Boost Web and API Performance with a Professional Cloud Testing Tool
Harness the power of cloud infrastructure to simulate high traffic volumes and ensure your applications deliver exceptional reliability.
Cloud-Based Execution
Easily upload and execute your JMX files from our cloud.Comprehensive Scripting Options
Utilize various scripting languages like JavaScript, BeanShell, JMEX, and Groovy.Scalable Testing
Handle 10M+ requests per second from multiple geo-locations.AI-Powered Insights
Identify and resolve performance bottlenecks quickly with advanced AI analytics.Elevate Performance Testing with Powerful Cloud-Based JMeter
01/03
Experience a World-Class Test Design Process
Create advanced performance testing strategies with JMeter, the leading open-source tool. Implement complex load testing scenarios choosing from Groovy, BeanShell, JavaScript, and JEXL to tailor your tests.
02/03
Unlock High Volume Geo-Distributed Load Testing Infrastructure
Effortlessly import a JMX file into PFLB, configure load generator locations, and subject your application to hundreds of thousands of requests per second.
Manage test duration and user ramp-up, and run tests manually or seamlessly integrate them into your preferred CI pipeline.
02/03
Unlock High Volume Geo-Distributed Load Testing Infrastructure
Effortlessly import a JMX file into PFLB, configure load generator locations, and subject your application to hundreds of thousands of requests per second. Manage test duration and user ramp-up, and run tests manually or seamlessly integrate them into your preferred CI pipeline.
03/03
Discover Load Testing Results with Grafana Dashboards
Investigate performance insights in your application during load testing using PFLB’s AI-driven reporting. Optimize performance iteratively with our advanced trend reports. Leverage extended Grafana features for in-depth analysis of your load testing results.
Why Choose PFLB’s JMeter Load Testing?
All-Inclusive JMeter Toolset
PFLB offers everything you need to run JMeter in the cloud. Easily upload and execute JMX files with our comprehensive toolset, designed for detailed and advanced load testing scenarios. Enjoy seamless integration and AI-powered performance insights.
AI-Powered Performance Insights
Leverage advanced AI analytics to quickly identify and resolve performance bottlenecks. Our AI-powered insights help you optimize your applications for peak performance, ensuring they run smoothly under any load.
Expert Support
Our team of performance engineers, with two decades of experience, provides expert guidance at every stage. Their deep expertise ensures you get practical insights and solutions exactly when you need them.
PFLB Client’s Review
Testimonials from satisfied clients across various industries.
Software & Technology
Energy & Utilities
E-learning
Oil & Gas
E-learning
Software & Technology
Biotech
Software & Technology
Integrations with Your Favourite Tools
- Google Analytics
Use real user data for precise load profiles.
- Grafana
Clear and actionable test reports.
- Postman, Insomnia, JMeter
Easy migration of existing test scenarios.
When the Platform Is Not Enough
For many companies, our cloud-based tool is sufficient. Others require both the tool and expert services. We provide it all.
How else can we be of service
We have an impressive track record of performance testing:
Proprietary systems based on:
We can support you in hardware sizing and cloud migration projects. As well as migration from one enterprise IT-system to another.
Our skilled engineers can also help to succeed in performance testing of legacy systems when web and mobile technologies are not the case.
We can build performance testing strategy, do data masking or create emulators of third-party systems.
Learn more about challenges we work on
Or hear how we work with different systems and platforms considering its specific, and simply
FAQs
01How do I upload my JMX files?
Simply drag and drop your JMX files into the PFLB cloud platform and start your tests immediately.
02Can I simulate traffic from multiple locations?
Yes, you can simulate user traffic from up to 18 different geo-locations to ensure realistic testing.
03What scripting languages are supported?
Our platform supports JavaScript, BeanShell, JMEX, Groovy, and the No Code Script Builder.
04How JMeter is used for performance testing
JMeter Performance Testing starts with downloading and setting up JMeter on your system. You then create test plans to simulate traffic to your web application, allowing you to measure response times and throughput to assess the performance under various conditions.
05How to use JMeter for API testing?
To use JMeter for API testing, start by setting up JMeter on your system. Create a new test plan and add HTTP Request samplers to define the API endpoints you want to test. Configure the request parameters, headers, and body content as needed for your API. Run the test to simulate traffic and analyze the responses to assess the API’s performance and reliability under different conditions.
06How to do spike testing in JMeter?
To perform spike testing in JMeter, first set up your basic test plan with the necessary HTTP requests. Then, use the Synchronizing Timer to control and synchronize multiple threads, allowing them to hit the server at the exact same moment. Configure the number of threads to simulate the sudden increase in load (spike). Execute the test to observe how the system handles sudden surges in traffic and analyze the results to assess performance stability during peak loads.
07How to do UI Testing using JMeter?
JMeter is not designed for direct UI testing as it doesn’t interact with web pages like a browser. For UI interactions like clicks, tools like Selenium are better suited, but you can use JMeter to test the performance of web UI components by targeting the underlying HTTP requests.
08How to perform stress testing in JMeter?
To perform stress testing in JMeter, set up your test plan with the necessary HTTP requests. Gradually increase the number of threads (users) and the load duration to find the point at which your application's performance degrades or fails. This helps identify the application's capacity limits and ensures it can handle high traffic before becoming unstable.
Dive in Our Knowledge Base
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