Reference library

Production deployment patterns

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

9 matches
Production deployment patterns easy

Generate a Mock Artifact Version Tag in Python

Creates a mock build artifact version tag from a branch name and build number, with a date stamp.

artifact versioning ci
Python
import re
from datetime import datetime

def mock_version_tag(branch_name: str, build_number: int) -> str:
    """Generate a mock build artifact version tag from branch and build number."""
    branch_slug = re.sub(r'[^a-zA-Z0-9]+', '-', branch_name).strip('-').lower()
    date_part = datetime.utcnow().strftime('%Y%m%…
13 0 Open
Production deployment patterns easy

How to Build a Mock Trivy Image Scan Gate in Python

Simulate a Trivy image scan and enforce a security gate that fails the pipeline when vulnerabilities meet or exceed a severity threshold.

trivy security ci-cd
Python
import json
import sys


def mock_trivy_scan(image_name, severity_threshold="HIGH"):
    """Simulate a Trivy image scan result."""
    mock_vulnerabilities = [
        {"ID": "CVE-2023-1234", "Severity": "HIGH", "Package": "openssl", "FixedVersion": "3.0.9"},
        {"ID": "CVE-2024-5678", "Severity": "CRITICAL", "Pa…
13 0 Open
Production deployment patterns easy

How to Deploy Staging Then Production in Python

Walk through a staged deployment mock that promotes from staging to production in sequence with Python.

deployment staging production
Python
import time

def deploy_environment(name: str) -> None:
    print(f"Deploying to {name}...")
    time.sleep(0.1)
    print(f"Deployed to {name} ✔")

def deploy_staging_then_prod() -> None:
    environments = ["staging", "production"]
    for env in environments:
        deploy_environment(env)
        if env == "stagi…
14 0 Open
Production deployment patterns easy

How to Implement a Manual Approval Gate Mock in Python

Simulates a manual approval workflow with threshold-based rules, random decisions for medium amounts, and logs each result with timing.

approval simulation workflow
Python
import random
import time


def approve_request(amount: float) -> bool:
    if amount <= 1000:
        return True
    if amount <= 5000:
        return random.random() < 0.7
    return False


def main():
    requests = [500, 1200, 7500, 3000, 50]
    for amount in requests:
        start = time.perf_counter()
      …
18 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 easy

How to Mock a CI Pipeline with Build, Test, and Deploy Stages in Python

Simulate a three-stage CI pipeline (build, test, deploy) in Python with random pass/fail logic, early exit on failure, and measured stage durations.

ci-cd simulation dataclasses
Python
import time
import random
from dataclasses import dataclass


@dataclass
class StageResult:
    name: str
    status: str
    duration: float


def run_stage(name: str, success_chance: float = 0.9) -> StageResult:
    """Simulate a pipeline stage with random success/failure."""
    start = time.time()
    time.sleep(r…
14 0 Open
Production deployment patterns easy

How to Mock a GitHub Actions Workflow in Python

Build a dataclass-based model of a GitHub Actions workflow and simulate its execution to validate steps and outputs before deployment.

github-actions dataclasses mock
Python
import json
from dataclasses import dataclass, asdict
from typing import List, Dict, Any


@dataclass
class Step:
    name: str
    run: str


@dataclass
class Job:
    name: str
    steps: List[Step]
    runs_on: str = "ubuntu-latest"


@dataclass
class Workflow:
    name: str
    jobs: List[Job]

    def to_github_a…
13 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
Production deployment patterns easy

How to simulate a Jenkins pipeline in Python

Simulate a Jenkins-style pipeline in Python by running sequential stages and checking aggregate success.

jenkins pipeline simulation
Python
def run_stage(name, duration, fn):
    print(f"[Pipeline] Running stage: {name}")
    result = fn()
    print(f"[Pipeline] Stage '{name}' completed in {duration}s -> {result}")
    return result

def build_project():
    print("  compiling source...")
    return "BUILD_OK"

def run_tests():
    print("  executing unit…
13 0 Open

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