Performance Overview
Our framework is optimized for speed and efficiency, ensuring minimal resource usage while delivering high performance.
Benchmarks
We’ve conducted rigorous testing across different environments. Here are some key performance metrics:
| Metric | Value |
|---|---|
| Startup Time | ~50ms |
| Memory Usage | ~30MB |
| API Response Time | <10ms |
For a detailed breakdown of performance benchmarks, visit our Benchmark Report.
Optimizing Performance
To maximize performance, follow these best practices:
- Use Production Mode: Ensure the framework is running in production mode.
js const app = new Framework({ environment: 'production' });python app = Framework({ "environment": "production" }) - Enable Caching: Utilize built-in caching mechanisms to reduce redundant API calls.
- Minimize Dependencies: Only install necessary packages to keep memory usage low.
Environment Considerations
Performance can vary based on the environment. See our Environments page for OS-specific optimizations.
If you experience slow performance, check your system’s resource usage and refer to our Support page for troubleshooting.
Load Testing
For enterprise use, we recommend performing load testing using tools like:
- Apache JMeter
- k6
- Locust
Want to contribute to our benchmarking efforts? Submit your results on our GitHub.
Updated on 20 March, 2025