Reference library

Production deployment patterns

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

3 matches

How to Implement a Data Helper Class in Python for Production Deployments

Build an environment-aware data helper in Python that loads config, extracts, transforms, and reports on JSON data using small, testable functions.

data-helper production json

Python

"""Production-style data helper for beginners.

Demonstrates:
- environment-aware config
- central data extraction
- small, testable functions
"""

import os
import json
from pathlib import Path
from typing import List, Dict, Any


def load_config(env: str = os.getenv("APP_ENV", "development")) -> Dict[str, Any]:
    …

12 0 Open

Production deployment patterns easy

How to Mock a Feature Flag Rollout Percentage in Python

Simulate a percentage-based feature flag rollout by hashing a user ID to deterministically enable features for a subset of users.

feature-flags rollout deterministic

Python

import random
from dataclasses import dataclass


@dataclass
class FeatureFlag:
    name: str
    rollout_percentage: int


def is_feature_enabled(feature_flag: FeatureFlag, user_id: str) -> bool:
    hashed_id = hash(user_id) % 100
    return hashed_id < feature_flag.rollout_percentage


if __name__ == "__main__":
  …

11 0 Open

Production deployment patterns easy

How to simulate GitLab CI stages in Python

Build a lightweight Python mock of GitLab CI pipeline stages to test job sequencing and output locally.

gitlab ci simulation

Python

def mock_gitlab_ci_stages():
    stages = ["build", "test", "deploy"]
    stage_status = {}

    for stage in stages:
        jobs = []

        if stage == "build":
            jobs = ["compile", "package"]
        elif stage == "test":
            jobs = ["unit", "integration", "e2e"]
        elif stage == "deploy":…

14 0 Open

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