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ML engineering pipelines

Feature prep, batch inference, model-serving hooks, and production ML workflow glue.

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ML engineering pipelines easy

How to implement a canary traffic split in Python

Route incoming traffic between stable and canary model or service versions using a weight-based random split with deterministic testing.

canary traffic-split random
Python 
import random


def canary_route(service_name: str, canary_weight: float = 0.2) -> str:
    """Route traffic between stable and canary versions based on weight."""
    rng = random.Random(42)  # deterministic for reproducible demo
    if rng.random() < canary_weight:
        return f"{service_name}-canary"
    return …
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