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System design patterns

Sharding, load balancing, CAP tradeoffs, and scaling patterns — interview and production ready.

34 matches
System design patterns medium

How to Migrate a Legacy Facade with the Strangler Fig Pattern in Python

Use a facade to wrap a legacy API and incrementally migrate callers to a modern interface, following the strangler fig pattern.

facade legacy migration
Python
class LegacyAPI:
    """Simulates the legacy system's raw interface."""
    def get_user(self, user_id):
        return {"id": user_id, "name": "Alice", "legacy": True}


class UserService:
    """Facade that wraps the legacy system with a modern interface."""
    def __init__(self, legacy_api=None):
        self.lega…
12 0 Open
System design patterns easy

How to Mock Hexagonal Architecture Ports and Adapters in Python

Mock an email adapter in a hexagonal architecture with unittest.mock to test business logic in isolation.

hexagonal-architecture unittest-mock dependency-injection
Python
from unittest.mock import Mock

class EmailService:
    def send(self, recipient, message):
        raise NotImplementedError

class OrderProcessor:
    def __init__(self, email_service):
        self.email_service = email_service
    
    def process_order(self, order_id, customer_email):
        # Business logic
   …
15 0 Open
System design patterns easy

How to Mock a Metrics Decorator in Python with unittest.mock

This code demonstrates a timing decorator that wraps a function to measure execution time and prints the duration, with a unit test using unittest.mock to patch the print function and assert it was called.

decorators unittest.mock metrics
Python
import time
from functools import wraps
from unittest.mock import patch

def add_metrics(func):
    @wraps(func)
    def wrapper(*args, **kwargs):
        start = time.perf_counter()
        result = func(*args, **kwargs)
        elapsed = time.perf_counter() - start
        print(f"{func.__name__} took {elapsed:.6f}s…
15 0 Open
System design patterns medium

How to Mock a Timeout per Dependency Call in Python

This code demonstrates how to simulate and test per-call timeouts for external dependencies using Python's unittest.mock and a simple timing wrapper.

mock timeout unittest
Python
```python
import time
from unittest.mock import Mock, patch

def call_dependency(dependency, timeout):
    start = time.time()
    result = dependency.call()
    elapsed = time.time() - start
    if elapsed > timeout:
        raise TimeoutError(f"Dependency call took {elapsed:.2f}s, exceeding timeout {timeout}s")
    …
14 0 Open
System design patterns easy

How to Mock the Ambassador Pattern Retry Client in Python

This code demonstrates the ambassador pattern for API clients by simulating a flaky request and retrying with exponential backoff, useful for testing resilience in system design.

retry ambassador-pattern mock
Python
import time
import random


class RetryingClient:
    """Retry wrapper simulating a flaky ambassador-style API client."""

    def __init__(self, max_attempts=3, base_delay=0.1):
        self.max_attempts = max_attempts
        self.base_delay = base_delay
        self.attempts = 0

    def _flaky_request(self):
     …
15 0 Open
System design patterns medium

How to Structure a Three-Tier Layered Architecture in Python

A mock three-tier architecture with presentation, business, and data layers that process a user request from input to response.

architecture layered design-pattern
Python
class PresentationLayer:
    def __init__(self, business_layer):
        self.business = business_layer

    def handle_request(self, user_id):
        print(f"[Presentation] Received request for user {user_id}")
        data = self.business.process_user(user_id)
        print(f"[Presentation] Response: {data}")
     …
12 0 Open
System design patterns easy

How to Take Periodic Snapshots of Aggregate State in Python

Build a Python class that accumulates values and periodically captures immutable snapshots of total, count, and average for later analysis.

aggregation snapshots state-management
Python
import time
import random
from collections import defaultdict


class SnapshotAggregator:
    def __init__(self):
        self.total = 0
        self.count = 0
        self.history = []

    def add(self, value):
        self.total += value
        self.count += 1

    def snapshot(self):
        avg = self.total / se…
13 0 Open
System design patterns medium

How to implement saga orchestration with compensating steps in Python

Orchestrate a distributed transaction across services, rolling back completed steps with compensations when a later step fails.

saga distributed-transactions compensation
Python
class InventoryService:
    def reserve(self, order_id):
        print(f"[Inventory] Reserving stock for order {order_id}")
        return True

    def compensate(self, order_id):
        print(f"[Inventory] Releasing stock for order {order_id}")


class PaymentService:
    def charge(self, order_id):
        print(f…
14 0 Open
System design patterns medium

How to implement stale-while-revalidate caching in Python

A Python cache wrapper that returns a stale cached value with a fallback flag when the upstream fetch fails, using TTL-based freshness checks.

caching ttl resilience
Python
import time
from functools import lru_cache


class CachedService:
    def __init__(self, fetch_func, ttl=5):
        self.fetch_func = fetch_func
        self.ttl = ttl
        self._cache = {}
        self._timestamp = {}

    def get(self, key):
        now = time.time()
        if key in self._cache and now - self…
12 0 Open
System design patterns easy

How to mock the domain center in an onion architecture in Python

Define a repository interface and an in-memory mock to test domain services without touching infrastructure.

onion-architecture repository-pattern dependency-injection
Python
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Dict, List, Optional


@dataclass
class Order:
    id: int
    customer: str
    items: List[str]
    total: float


class OrderRepository(ABC):
    @abstractmethod
    def find_by_id(self, order_id: int) -> Optional[Order]:
     …
11 0 Open

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