Reference library

Microservices patterns

Service boundaries, discovery, inter-service calls, and decomposition patterns.

3 matches
Microservices patterns medium

Backward Compatible Schema Evolution in Python

A mock schema validator that evolves JSON schemas while preserving backward compatibility by keeping old fields and validating required ones.

schema-evolution json microservices
Python
import json
from copy import deepcopy


class SchemaValidator:
    def __init__(self, schema):
        self.schema = schema

    def evolve(self, new_schema):
        """Evolve mock schema while keeping backward compatibility."""
        for field in self.schema:
            if field not in new_schema:
               …
16 0 Open
Microservices patterns easy

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.

microservices validation oop
Python
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
    …
12 0 Open
Microservices patterns easy

How to Implement a Data Helper for Microservices in Python

Create a reusable helper class to serialize, deserialize, and wrap data for microservice communication using dataclasses and JSON.

microservices json dataclass
Python
import json
from dataclasses import dataclass, asdict
from typing import Any, Dict, List


@dataclass
class ServiceResponse:
    status: str
    data: Any
    message: str = ""


class DataHelper:
    """Simple helper for microservice data handling."""

    @staticmethod
    def serialize(data: Dict[str, Any]) -> str:…
13 0 Open

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Microservices patterns — Python code examples

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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.

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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.