Benchmarking Your HTTP Service Using wrk

As a machine learning engineer/data scientist, after the model development process is finished, we need to deploy the model as a web service using different web frameworks. To achieve maximum performance and lower the hardware cost, we often need to optimize the speed our service, including TensorRT acceleration, config tuning, etc.