Reference library

Production deployment patterns

Graceful shutdown, prod config, rollouts, readiness probes, and ship-with-confidence checks.

3 matches

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.

error-rate rollback rolling-window

Python

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…

15 0 Open

Production deployment patterns medium

Automate Semantic Versioning with Conventional Commits in Python

Automatically bump a semantic version based on conventional commit messages (feat, fix, BREAKING CHANGE) and write the new version to a file.

semantic-versioning conventional-commits automation

Python

import re
from pathlib import Path


def get_next_version(current: str, commit_messages: list[str]) -> str:
    """Return the next semantic version based on conventional commit messages."""
    major, minor, patch = map(int, current.split("."))
    if any(msg.startswith("BREAKING CHANGE") for msg in commit_messages):
…

14 0 Open

Production deployment patterns medium

Mock Kubernetes HPA CPU Scaling in Python

Python function that simulates CPU utilization and calculates desired replicas using the Kubernetes HPA formula.

kubernetes hpa autoscaling

Python

import random
import time


def simulate_cpu_utilization(target_utilization=50, samples=10):
    """Simulate CPU utilization readings for HPA mock."""
    utilizations = []
    for _ in range(samples):
        # Simulate fluctuating CPU with random noise around target
        current = target_utilization + random.unif…

14 0 Open

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