Reference library

Production deployment patterns

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

4 matches
Production deployment patterns easy

How to Attach an SBOM to a Release in Python (Mock)

A mock function that attaches a Software Bill of Materials (SBOM) to a GitHub-style release by counting its components and marking the upload as attached.

sbom release json
Python
import json
from pathlib import Path


def attach_sbom_mock(sbom_path: Path, release_tag: str, artifact_name: str) -> dict:
    """Mock attaching an SBOM to a release, returning the simulated upload result."""
    sbom = json.loads(sbom_path.read_text())
    return {
        "release_tag": release_tag,
        "artifa…
14 0 Open
Production deployment patterns easy

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 Merge Helm Chart Values Per Environment in Python

Merge default Helm chart values with environment-specific overrides using a recursive dictionary merge function, then write each environment's YAML file.

helm merge yaml
Python
from pathlib import Path
import json
import tempfile


DEFAULT_VALUES = {
    "image": "nginx:latest",
    "replicas": 1,
    "resources": {"cpu": "100m", "memory": "128Mi"},
}

ENV_OVERRIDES = {
    "dev": {"replicas": 1, "resources": {"cpu": "50m"}},
    "staging": {"replicas": 2, "resources": {"cpu": "250m", "memor…
11 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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Production deployment patterns — Python code examples

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