gRPC Load
Testing Tool
How It Works
Define the gRPC Load Testing Scenario
Upload your gRPC protobuf file to PFLB, then effortlessly build your load testing scenario by dragging and dropping gRPC requests within our intuitive no-code script builder.
Configure and Run Your gRPC Load Testing
Configure and Run Your gRPC Load Testing
Discover Your gRPC Load Testing Results
Use Grafana dashboards to analyze how your microservices handle gRPC traffic under load, pinpointing performance issues. Additionally, PFLB’s gRPC load testing tool provides AI-powered performance insights to diagnose and resolve bottlenecks effectively.
Integrations with Your Favourite Tools
- Google Analytics
Our Google Analytics integration copies production traffic to create accurate load profiles, ensuring highly realistic testing conditions.
- Grafana
The integration with Grafana provides clear and actionable test reports that help you pinpoint bottlenecks in your system.
- Postman, Insomnia, JMeter
And with integrations with Postman, Insomnia, and JMeter, you can easily migrate your existing test scenarios and workflows to our platform.
Why Choose PFLB’s gRPC Load Testing Tool?
User-Friendly
Comprehensive Support
Detailed Documentation
PFLB Client’s Review
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 for an expert performance testing company.
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 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.
FAQs
01What is the best approach for testing gRPC services under load?
The most effective approach for load testing gRPC services involves simulating real-world traffic patterns that your microservices are likely to encounter. Using a gRPC load testing tool like PFLB’s, you can create detailed scenarios that replicate actual gRPC calls, allowing you to thoroughly assess how your services perform under varying levels of stress. This approach helps identify potential bottlenecks and ensures your system can scale efficiently.
02How can I measure response time in a custom gRPC load balancer using PFLB?
PFLB’s gRPC load testing tool measures overall response times but doesn’t provide node-specific metrics within a load balancer. To measure response times for individual nodes, you should use internal monitoring tools like Prometheus or DataDog. These tools let you monitor and analyze node-specific performance, helping you identify and address bottlenecks. You can then correlate this data with PFLB’s overall metrics to optimize both your load balancer and its nodes.
03Can I use PFLB’s gRPC load testing tool to test both unary and streaming gRPC calls?
Yes, PFLB’s gRPC load testing tool supports both unary and streaming gRPC calls. This flexibility allows you to accurately simulate the types of interactions your services will experience in production, ensuring thorough testing of all aspects of your gRPC services.