Production deployment patterns
Graceful shutdown, prod config, rollouts, readiness probes, and ship-with-confidence checks.
Auto Rollback on Error Rate Exceeded in Python
Simulate a service that monitors a rolling window of request errors and automatically rolls back when the error rate exceeds a threshold.
import random
import time
def simulate_requests(total_requests=1000, rollback_threshold=0.2):
"""
Simulate a service that automatically rolls back when the error rate
exceeds a threshold within a rolling window.
"""
window_size = 100
errors_seen = []
rolled_back = False
for req_num i…How to Mock Canary Deployment Traffic Split in Python
Simulate a canary deployment's stable/canary traffic split using deterministic request hashing to mock rollout behavior with precise percentage control.
class CanaryDeployment:
def __init__(self, stable_weight: float = 0.9, canary_weight: float = 0.1):
self.stable_weight = stable_weight
self.canary_weight = canary_weight
self.total_weight = stable_weight + canary_weight
def route_request(self, request_id: int) -> str:
"""Route …Browse by section
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Production deployment patterns — Python code examples
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