Reference library

System design patterns

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

34 matches
System design patterns easy

How to Aggregate Mock API Routes by Method in Python

Groups mock API routes by path and method, collecting response bodies and counts into a nested dictionary structure.

defaultdict api-gateway aggregation
Python
from collections import defaultdict


def aggregate_mock_routes(routes):
    """Aggregate mock API routes by method and aggregate their response bodies."""
    aggregated = defaultdict(lambda: defaultdict(list))

    for route in routes:
        method = route["method"]
        path = route["path"]
        response = …
13 0 Open
System design patterns medium

How to Apply the Clean Architecture Dependency Rule in Python

Demonstrates the dependency rule with a Protocol repository, a use case, and a presenter wired together at a composition root.

clean-architecture dependency-inversion protocol
Python
from dataclasses import dataclass
from typing import List, Protocol

class Repository(Protocol):
    def get_items(self) -> List[str]:
        ...

@dataclass
class InMemoryRepository:
    items: List[str]

    def get_items(self) -> List[str]:
        return self.items

class UseCase:
    """Application layer depends…
13 0 Open
System design patterns easy

How to Build a Health Check System with Instance Up and Down Status in Python

Track instance health by marking them up or down and simulating health checks with a mock class in Python.

health-check monitoring system-design
Python
from datetime import datetime
import random

class HealthChecker:
    def __init__(self):
        self.status = {}
    
    def mark_up(self, instance_id):
        self.status[instance_id] = {
            "state": "up",
            "last_check": datetime.now().isoformat(),
            "healthy": True
        }
    
  …
14 0 Open
System design patterns medium

How to Build a Pipe and Filter Text Processing Chain in Python

A functional pipe-and-filter chain that transforms text through uppercase, whitespace normalization, number removal, stopword filtering, and file export.

pipeline text-processing functional
Python
import re
import sys


def pipe_filter_chain(stream):
    def uppercase(text):
        return text.upper()

    def strip_whitespace(text):
        return " ".join(text.split())

    def remove_numbers(text):
        return re.sub(r"\d+", "", text)

    def remove_stopwords(text, stopwords={"the", "and", "of", "in"}):…
16 0 Open
System design patterns medium

How to Build a Sidecar Logging Proxy in Python

Wrap any object with a proxy that transparently logs every method call, arguments, return value, and execution time to a file — mimicking a sidecar pattern.

proxy logging sidecar
Python
import logging
import time
from datetime import datetime


class LoggingProxy:
    """Sidecar-style proxy that logs all calls to a wrapped object."""

    def __init__(self, target, log_file="proxy.log"):
        self._target = target
        logging.basicConfig(
            filename=log_file,
            level=loggin…
15 0 Open
System design patterns easy

How to Build a Simple Service Discovery Registry in Python

A lightweight in-memory service registry class using a dict — register, deregister, and discover services with host, port, and version.

service-discovery registry dict
Python
class ServiceRegistry:
    def __init__(self):
        self._services = {}

    def register(self, name, host, port, version="1.0"):
        self._services[name] = {
            "host": host,
            "port": port,
            "version": version
        }

    def deregister(self, name):
        return self._servic…
13 0 Open
System design patterns easy

How to Build a Weighted Random Load Balancer in Python

A Python load balancer mock that distributes requests across servers based on configurable weights using a cumulative weighted random selection algorithm.

python how build
Python
import random
from collections import Counter

SERVERS = {
    "server-a": 50,
    "server-b": 30,
    "server-c": 20,
}


def weighted_random_server(servers: dict[str, int]) -> str:
    """Select a server based on its weight (higher weight = more likely)."""
    total_weight = sum(servers.values())
    rand = random.…
13 0 Open
System design patterns medium

How to Build an Adapter to Translate External API Responses in Python

Build an adapter class that translates a mock external API's response shape into your internal representation, keeping callers decoupled from the external contract.

adapter-pattern api architecture
Python
import json
from typing import Dict, Any


class ExternalAPI:
    """Mock external service returning a different data shape."""
    def get_user(self, user_id: int) -> Dict[str, Any]:
        return {
            "id": user_id,
            "full_name": "Jane Doe",
            "email_address": "jane@example.com",
     …
14 0 Open
System design patterns medium

How to Build an Anti-Corruption Layer in Python

Wrap a legacy system with a translation layer that converts awkward legacy data into a clean, modern DTO (Data Transfer Object) for use by new code.

anti-corruption-layer ddd dto
Python
class LegacyOrderSystem:
    """Legacy system with awkward, unstructured data."""
    def get_order(self):
        return {
            "order_id": "ORD-123",
            "cust": "Acme Corp",
            "items": [{"sku": "A1", "qty": 2, "price_each": 10.0}],
            "ship_to": "123 Main St, Springfield"
        }…
15 0 Open
System design patterns easy

How to Build an Append-Only Event Store in Python

Implement a simple append-only event store class that stores events in a list and supports retrieval by index range.

event-sourcing append-only event-store
Python
class EventStore:
    def __init__(self):
        self._events = []

    def append(self, event):
        """Append an event to the store."""
        self._events.append(event)

    def get_events(self, start=0, end=None):
        """Return events from start index to end (exclusive)."""
        return self._events[sta…
14 0 Open
System design patterns medium

How to Build an Immutable Money Value Object in Python

Implement an immutable Money class with rounded decimal amounts, currency, safe equality, and hashing for use as a value object.

value-object immutability money
Python
class Money:
    def __init__(self, amount: float, currency: str):
        object.__setattr__(self, "_amount", round(amount, 2))
        object.__setattr__(self, "_currency", currency)

    def __setattr__(self, name, value):
        raise AttributeError(f"Money is immutable: cannot set '{name}'")

    def __delattr__…
13 0 Open
System design patterns easy

How to Build an MVP Presenter View Mock in Python

A minimal MVP (Model-View-Presenter) mock showing a Presenter controlling a SlideDeck model with slide navigation and typed state via dataclasses.

dataclasses mvp design-patterns
Python
from dataclasses import dataclass, field
from typing import List


@dataclass
class SlideDeck:
    title: str
    slides: List[str] = field(default_factory=list)
    current_index: int = 0

    def next_slide(self) -> str:
        if self.current_index < len(self.slides) - 1:
            self.current_index += 1
      …
13 0 Open
System design patterns medium

How to Implement CQRS with Separate Read and Write Models in Python

Implements Command Query Responsibility Segregation (CQRS) by splitting data into separate write and read models with dedicated repositories, using dataclasses for structure.

cqrs dataclasses repositories
Python
from dataclasses import dataclass, field
from typing import List, Dict, Optional


@dataclass
class OrderWriteModel:
    order_id: int
    customer: str
    items: List[str] = field(default_factory=list)

    def add_item(self, item: str) -> None:
        self.items.append(item)


@dataclass
class OrderReadModel:
    …
14 0 Open
System design patterns medium

How to Implement Retry with Exponential Backoff and Jitter in Python

This code demonstrates a retry mechanism with exponential backoff and optional full jitter, using a flaky mock network call for testing.

retry backoff jitter
Python
import random
import time


def retry_with_backoff(func, max_attempts=5, base_delay=0.1, jitter=True):
    """
    Retry a function with exponential backoff and optional full jitter.
    """
    for attempt in range(max_attempts):
        try:
            return func()
        except Exception as e:
            if att…
14 0 Open
System design patterns easy

How to Implement a Data Helper Class in Python

Build a beginner-friendly DataHelper class using dataclasses and key system design patterns like Command, Strategy, and Map.

dataclass data-helper design-patterns
Python
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional


@dataclass
class DataHelper:
    """A beginner-friendly data utility with common system design patterns."""
    data: List[Dict[str, Any]] = field(default_factory=list)

    def add_record(self, r…
13 0 Open
System design patterns easy

How to Implement a Factory Method by Type String in Python

A factory method maps a type string to a class, creating and returning the appropriate object instance while handling unknown types gracefully.

factory-pattern design-patterns oop
Python
class Animal:
    def speak(self):
        raise NotImplementedError


class Dog(Animal):
    def speak(self):
        return "Woof!"


class Cat(Animal):
    def speak(self):
        return "Meow!"


class AnimalFactory:
    @staticmethod
    def create(animal_type: str) -> Animal:
        animal_types = {
          …
14 0 Open
System design patterns easy

How to Implement a Simple Event Bus in Python

Create a publish-subscribe event bus using dataclasses and defaultdict to decouple event producers from consumers.

event-bus publish-subscribe design-patterns
Python
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Callable, Dict, List, Set


@dataclass
class EventBus:
    _subscribers: Dict[str, List[Callable]] = field(
        default_factory=lambda: defaultdict(list)
    )

    def subscribe(self, event_type: str, handler: Callable…
15 0 Open
System design patterns medium

How to Implement a Simple MVVM Binding Mock in Python

A minimal Python implementation of the MVVM pattern, mocking data binding so views auto-update when the view model changes.

mvvm binding observer pattern
Python
class BindingMock:
    def __init__(self, view_model):
        self.view_model = view_model
        self.subscribers = []

    def bind(self, property_name, callback):
        self.subscribers.append((property_name, callback))

    def set(self, property_name, value):
        setattr(self.view_model, property_name, va…
18 0 Open
System design patterns medium

How to Implement the Abstract Factory Pattern in Python

Implements the Abstract Factory pattern to create families of related GUI objects (buttons, checkboxes) without specifying their concrete classes.

abstract-factory design-patterns system-design
Python
from abc import ABC, abstractmethod


class Button(ABC):
    @abstractmethod
    def render(self):
        pass


class Checkbox(ABC):
    @abstractmethod
    def render(self):
        pass


class WindowsButton(Button):
    def render(self):
        return "Rendering Windows-style button"


class WindowsCheckbox(Chec…
13 0 Open
System design patterns medium

How to Implement the Flyweight Pattern in Python

Implements the Flyweight design pattern to share immutable intrinsic state (character + font) across many document objects, reducing memory usage.

flyweight design-patterns memory-optimization
Python
class Character:
    """Flyweight - stores only intrinsic state (shared)."""

    def __init__(self, char: str, font: str):
        self.char = char
        self.font = font

    def render(self, size: int) -> str:
        return f"{self.char}_{self.font}_{size}"


class CharacterFactory:
    """Flyweight factory - ma…
15 0 Open
System design patterns easy

How to Implement the Prototype Pattern with Deep Copy in Python

Implements the Prototype design pattern using copy.deepcopy to clone complex objects without sharing mutable state.

prototype-pattern deepcopy dataclasses
Python
import copy
from dataclasses import dataclass, field
from typing import List

@dataclass
class Engine:
    horsepower: int

@dataclass
class Car:
    brand: str
    engine: Engine
    accessories: List[str] = field(default_factory=list)

def clone_prototype(car: Car) -> Car:
    return copy.deepcopy(car)

if __name__ …
13 0 Open
System design patterns easy

How to Implement the Repository Pattern in Python with an In-Memory Dict

Stores, retrieves, updates, and deletes user records in memory using a Repository abstraction over a plain dict, isolating data access from business logic.

repository-pattern design-patterns in-memory
Python
class UserRepository:
    def __init__(self):
        self._storage = {}
        self._next_id = 1

    def create(self, name, email):
        user_id = self._next_id
        self._next_id += 1
        self._storage[user_id] = {"id": user_id, "name": name, "email": email}
        return self._storage[user_id]

    def…
11 0 Open
System design patterns medium

How to Implement the Strategy Pattern in Python

This Python code demonstrates the Strategy design pattern using interchangeable sorting algorithms (bubble sort and quick sort) that can be swapped at runtime.

design-pattern strategy oop
Python
class SortingStrategy:
    def sort(self, data):
        raise NotImplementedError

class BubbleSort(SortingStrategy):
    def sort(self, data):
        result = data.copy()
        n = len(result)
        for i in range(n):
            for j in range(0, n - i - 1):
                if result[j] > result[j + 1]:
      …
13 0 Open
System design patterns medium

How to Limit Concurrent Requests with a Semaphore in Python

Use threading.Semaphore with a ThreadPoolExecutor to cap how many worker threads run simultaneously, preventing resource overload.

concurrency semaphore threading
Python
import threading
import time
from concurrent.futures import ThreadPoolExecutor

def worker(name, semaphore, results):
    with semaphore:
        results.append(f"start {name}")
        time.sleep(0.5)  # simulate async work
        results.append(f"done {name}")

def main():
    sem = threading.Semaphore(2)  # max 2 …
14 0 Open

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