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Performance profiling

concept · part of Troubleshooting

Performance profiling analyzes system performance to understand why a model may be underperforming in latency or computational efficiency. Use profiling tools such as cProfile in Python or Azure Application Insights to measure function execution times and identify bottlenecks. Evaluate components like data preprocessing, model inference, and network communication to find delays.

import cProfile

def model_inference(data):
    # Simulate model inference process
    # ... (model logic here)
    return "prediction"

cProfile.run('model_inference(data)')
print("Performance profiling complete.")

• Use Azure Application Insights to measure function execution times and identify bottlenecks in Azure-based applications.

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