gRPC Load
Testing Tool
Optimize your distributed systems with PFLB. You can simulate realistic traffic of unary requests and bidirectional streaming with a few clicks.
Based on reviews on
Trusted By
How It Works
01/03
Define Your gRPC Testing Scenario
Upload your proto file or prebuilt protoset bundle. Build your API testing scenario by dragging and dropping gRPC requests within our intuitive no-code script builder.
02/03
Configure and Run Your gRPC Load Testing
Set up your testing curve for load, stress, or soak testing. Choose load generator locations, test duration, and your test environment URL. Execute the gRPC performance test and monitor performance in real time.
02/03
Configure and Run Your gRPC Load Testing
Set up your testing curve for load, stress, or soak testing. Choose load generator locations, test duration, and your test environment URL. Execute the gRPC performance test and monitor performance in real time.
03/03
Discover Your gRPC Load Test Results
Use Grafana dashboards to analyze how your gRPC server handles traffic, 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 results that help you pinpoint bottlenecks in your distributed applications.
- Postman, Insomnia, JMeter
Integration with Insomnia supports migrating your existing test scenarios to our platform. Same with Postman and JMeter.
Benefits of gRPC Load Testing
Performance Insights
It reveals bottlenecks in high-speed, binary communication with HTTP/2, crucial for microservices.
Scalability Check
Verifies that gRPC maintains stability under heavy concurrent loads.
Protobuf Efficiency
Confirms that binary data exchange handles large loads effectively, ensuring data integrity.
Streaming Validation
Tests gRPC’s bi-directional streams to ensure robust performance during high-volume exchanges .
PFLB Client’s Review
Testimonials from satisfied clients across various industries.
Software & Technology
Software & Technology
Biotech
Software & Technology
E-learning
Oil & Gas
E-learning
Why Choose PFLB?
PFLB’s gRPC testing software lets you simulate high volumes of gRPC calls and easily observe your service’s scalability, all in just three simple steps.
Cloud-Based
No load testing infrastructure is needed. Use PFLB load generators to simulate millions of requests per second.
User-Friendly
Our platform is intuitive and easy to set up, letting you focus on enhancing performance without hassle.
Grafana Dashboards
Save time on investigating load testing results with our custom Grafana dashboards.
Comprehensive Support
Our dedicated team is with you every step of the way, offering help with setup, troubleshooting, and optimization. If you need more help, you can also check out our performance testing services.
Detailed Documentation
We provide step-by-step guides to help you navigate and make the most out of our platform effortlessly.
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 gRPC testing tools 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 test 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 to test both unary and streaming gRPC calls?
Yes, PFLB’s gRPC performance 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.
04Does PFLB support REST APIs?
Yes, PFLB supports REST APIs, SOAP, and WebSockets. Please see the API load testing tool page for more details.
05How can I check if my gRPC API can handle a sudden spike in traffic?
You can use PFLB’s gRPC benchmark tool to simulate high traffic scenarios on your gRPC endpoints. This gRPC API testing tool allows you to set specific traffic loads, helping you see how your API performs under sudden spikes. By running these tests, you’ll get clear insights into response times, stability, and any weak points that may need optimization.
Dive in Our Knowledge Base
Blog 8 min read
About 85% of enterprise businesses use microservices. In this article, we will cover the primary specifics of microservices, explain why they need performance testing, and highlight...
Blog 5 min read
Software interfaces were invented to integrate applications. They work as a kind of port through which you can connect to third-party software and interact with it, for example, send...
Cases 7 min read
FolderWave, Inc. is a leading digital services provider in the Massachusetts e-learning sector. It aids millions of students in researching and planning a job-oriented education. The...