JMeter Load Testing:
Boost Web and API Performance with a Professional Cloud Testing Tool
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
Experience a World-Class Test Design Process
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.
Unlock High Volume Geo-Distributed Load Testing Infrastructure
Discover Load Testing Results with Grafana Dashboards
Why Choose PFLB’s JMeter Load Testing?
All-Inclusive JMeter Toolset
AI-Powered Performance Insights
Expert Support
PFLB Client’s Review
We smoothly moved over 30 JMeter projects to PFLB, and it's been a total game changer. It's given our team of 50+ remote performance engineers the ability to handle large-scale load tests every day with real ease.
PFLB's professional services team is top-notch. They really came through for us, stress-testing our new outage map and OR&S apps before we went live. I was super impressed with their service. Working with Boris was awesome—totally recommend them!
I was highly satisfied working with PFLB. They're a fantastic one-stop shop for software performance, with everything you need—their platform and skilled engineers. I've used them three times to load test the College Board software before big updates, and it all went smoothly. Plus, I love that they store all the testing data, so we can track performance capacity over time.
It was a pleasure working with PFLB, and I'd recommend them for performance testing. They quickly got up to speed with our complex software architecture and were super productive in setting up our load test environment in the cloud. They were really dedicated to improving our product with their strong expertise in performance optimization.
PFLB was willing to work with a very small solopreneur without an enormous investment in capital. Their prices were reasonable and provided me with notable improvements to my php performance.
PFLB did benchmarking tests on our database storage engine under standard and uncommon conditions, using specialized tools. Their analysis gave us valuable insights and recommendations to boost our product's performance. I highly recommend PFLB to anyone looking to optimize software performance.
PFLB's testing team helped us successfully complete the FDA regulations with a great test coverage for the computer system validation (CSV) process at Illumina. I highly recommend Yuri Kovalov and his team—they're top-notch professionals in performance and load testing.
PFLB has been Tinder's load testing provider for over 5 years, and it is a true pleasure working with them. They managed the entire performance engineering process for our app releases, helping us fix tons of performance issues. I highly recommend PFLB as a reliable vendor.
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
FAQs
01How do I upload my JMX files?
02Can I simulate traffic from multiple locations?
03What scripting languages are supported?
04How JMeter is used for performance testing
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.