Production deployment patterns
Graceful shutdown, prod config, rollouts, readiness probes, and ship-with-confidence checks.
Docker healthcheck CMD mock in Python
Runs a subprocess to curl a health endpoint and returns exit code 0 when healthy, 1 when unhealthy, mimicking a Docker HEALTHCHECK command.
import subprocess
import sys
def run_healthcheck() -> int:
result = subprocess.run(["curl", "-fsS", "http://localhost:8080/health"], capture_output=True, text=True)
if result.returncode == 0:
print("healthy")
return 0
print("unhealthy", file=sys.stderr)
return 1
if __name__ == "__ma…How to Create a Liveness Probe HTTP Mock in Python
Build a lightweight HTTP server in Python that mimics a Kubernetes-style liveness endpoint, returning JSON health status for local testing.
import http.server
import threading
import time
class LivenessHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
if self.path == "/healthz":
self.send_response(200)
self.send_header("Content-Type", "application/json")
self.end_headers()
self.wfi…How to Mock Multi-Stage Docker Builds in Python
Simulate a multi-stage Docker build in pure Python using classes and temp directories to understand how build stages copy artifacts into a final image.
# Simulate multi-stage Docker build with pure Python
from pathlib import Path
import tempfile
import shutil
class BuildContext:
"""Mimics a Docker build context with stages."""
def __init__(self, name):
self.name = name
self.files = {}
def add_file(self, dest, content):
s…How to Mock a SIGTERM Handler in Python
Create a graceful shutdown handler for SIGTERM and SIGINT signals, then test it by simulating a signal delivery without terminating the process.
import signal
import time
class Service:
def __init__(self):
self.running = True
def shutdown(self, signum, frame):
print(f"Received signal {signum}, shutting down gracefully...")
self.running = False
def run(self):
signal.signal(signal.SIGTERM, self.shutdown)
sig…How to Simulate a Packer AMI Build in Python
A simple Python class that mimics a Packer AMI build lifecycle — creates a build object, transitions its state to completed, and prints a JSON snapshot.
import json
class PackerBuildMock:
def __init__(self, name, ami_id, region="us-east-1", state="pending"):
self.name = name
self.ami_id = ami_id
self.region = region
self.state = state
def build(self):
if self.state == "pending":
self.state = "completed"
…How to build a maintenance mode page in Python
Mock a service maintenance status page that computes remaining downtime and lists affected features from a simple class.
from datetime import datetime
class MaintenanceMode:
"""Mock a maintenance mode status page for a service."""
def __init__(self, service_name: str, scheduled_end: str):
self.service_name = service_name
self.scheduled_end = datetime.fromisoformat(scheduled_end)
self.affected_featur…How to simulate a database migration init container mock in Python
A mock init container that runs environment checks and a staged database migration job before the main application starts, printing progress to stdout.
```python
class MigrationJob:
def __init__(self, name, steps):
self.name = name
self.steps = steps
self.current_step = 0
self.status = "pending"
def run(self):
print(f"Initializing migration job: {self.name}")
for step in self.steps:
self.current_ste…PodDisruptionBudget minAvailable in Python
Simulate a Kubernetes PodDisruptionBudget check for minAvailable and maxUnavailable constraints with a Python class.
class PodDisruptionBudget:
def __init__(self, name, min_available=None, max_unavailable=None):
self.name = name
self.min_available = min_available
self.max_unavailable = max_unavailable
def check_availability(self, ready_pods):
if self.min_available is not None:
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Production deployment patterns — Python code examples
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This page collects production deployment patterns snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.
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Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.