Production deployment patterns
Graceful shutdown, prod config, rollouts, readiness probes, and ship-with-confidence checks.
How to Build a GitOps Argo CD Sync Mock in Python
Simulate Argo CD-style GitOps deployment sync with Python dataclasses, random success rates, and force-sync retry logic.
import random
import time
from dataclasses import dataclass, field
from typing import List, Dict
@dataclass
class Application:
name: str
source_repo: str
target_revision: str
synced: bool = False
health_status: str = "Healthy"
history: List[Dict] = field(default_factory=list)
def sync(se…How to Mock Kubernetes Services with a ClusterIP Registry in Python
Simulate Kubernetes service discovery by assigning ClusterIP addresses to dataclass-defined services, with JSON export for inspection or testing.
import json
from dataclasses import dataclass, asdict
from typing import Dict, Optional
@dataclass
class Service:
name: str
namespace: str
cluster_ip: str
selector: Dict[str, str]
port: int
target_port: Optional[int] = None
class ClusterIPServiceRegistry:
_ip_counter = 0
def __init…How to Simulate Blue-Green Deployment Switch in Python
A mock Blue-Green deployment class that deploys new versions to an inactive environment, runs a health check, switches traffic, and supports rollback in Python.
import random
import time
class BlueGreenDeployment:
def __init__(self, initial_env="blue"):
self.environments = {"blue": "v1.0", "green": "v1.0"}
self.active_env = initial_env
self.running = True
def deploy_new_version(self, version, target_env):
if target_env == self.active_…Browse by section
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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.
Samples vs tutorials and challenges
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.