Can Rust Improve Real Django API Performance? Testing Django-Bolt Beyond Synthetic Benchmarks

Django-Bolt is a framework that allows teams using Django to improve API performance without switching to another framework. It does this by handling incoming web requests using Rust, while keeping Django for database queries, authentication, and application logic. In its published benchmarks, Django-Bolt reports a throughput of 311,000 requests per second for a simple JSON endpoint.

However, this number can vary depending on hardware and is better used for comparison rather than predicting production performance. The real question is how Django-Bolt performs when the request becomes more complex, such as requiring user authentication, database queries, and application logic.

While Django-Bolt can handle simple requests quickly, its advantage may diminish once the API starts performing its intended functions. The project acknowledges this and suggests testing with actual endpoints that a team cares about, rather than relying on synthetic benchmarks. A fair performance test should measure the effect of Django-Bolt on endpoints that include database access, authentication, application logic, and serialization.

By adding these elements gradually, a team can determine where Django-Bolt provides a genuine performance boost and where it may be limited.

Metrics beyond requests per second, such as p50, p95, and p99 latency, as well as CPU and database activity, should be considered to gain a comprehensive understanding of Django-Bolt's impact on an application's performance. This approach allows a team to identify the specific areas where Django-Bolt can help their application and where further optimization may be necessary.