Microservices patterns
Service boundaries, discovery, inter-service calls, and decomposition patterns.
How to Build a Microservice Helper in Python
A beginner-friendly Python helper that validates input, normalizes service responses, and simulates user management—showing clean patterns for microservice development.
import json
from typing import Any, Dict, List
class DataValidator:
"""Simple validator for common data patterns."""
@staticmethod
def is_valid_email(value: str) -> bool:
"""Check if value looks like an email."""
return "@" in value and "." in value.split("@")[-1]
@staticmethod
…Zero Trust Service Auth Mock in Python
A simple HMAC-based token issuance and validation mock that enforces zero trust between microservices.
import hmac
import hashlib
import json
import time
class ZeroTrustAuth:
def __init__(self, secret_key):
self.secret_key = secret_key
self.service_tokens = {}
def issue_token(self, service_name, ttl=300):
payload = {
"service": service_name,
"issued_at": int(tim…Browse by section
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Microservices patterns — Python code examples
What you will find here
This page collects microservices 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.