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System design patterns

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

35 matches
System design patterns easy

Idempotent Consumer: Store Processed IDs in Python

Implement an idempotent consumer that persists processed message IDs to a JSON file, skipping duplicates on restart.

idempotency duplicate-detection state-persistence
Python
import json
from pathlib import Path


class IdempotentStore:
    def __init__(self, storage_path: str = "processed_ids.json"):
        self.storage_path = Path(storage_path)
        self.processed_ids = self._load()

    def _load(self) -> set:
        if self.storage_path.exists():
            with self.storage_path…
15 0 Open
System design patterns medium

Implement Bulkhead Thread Pool Isolation in Python

Create isolated thread pools with a bulkhead pattern to protect different services from cascading failures.

bulkhead threadpool concurrency
Python
import threading
import time
import random
from concurrent.futures import ThreadPoolExecutor


class Bulkhead:
    """Simple bulkhead isolation: separate thread pools for different tasks."""

    def __init__(self, max_workers):
        self.executor = ThreadPoolExecutor(max_workers=max_workers)
        self.active = …
13 0 Open
System design patterns medium

Inbox pattern consumer dedupe mock in Python

Implements a mock inbox consumer that deduplicates incoming messages by ID, with automatic eviction of old seen IDs to prevent unbounded memory growth.

deduplication inbox-pattern dataclasses
Python
import json
from collections import deque
from dataclasses import dataclass, field
from hashlib import sha256
from typing import Any


@dataclass
class InboxConsumer:
    max_seen: int = 1000
    seen_ids: set = field(default_factory=set)
    seen_history: deque = field(default_factory=deque)

    def _mark_seen(self,…
13 0 Open
System design patterns medium

Lazy loading with a proxy in Python: defer expensive service creation

A lazy proxy defers creating an expensive service object until its method is first called, then caches it for reuse.

proxy lazy-loading design-patterns
Python
import time
import random


class ExpensiveService:
    def __init__(self, name):
        self.name = name
        print(f"Creating expensive service: {self.name}")

    def fetch_data(self):
        time.sleep(1)
        return f"Data from {self.name}: {random.randint(1, 100)}"


class LazyProxy:
    def __init__(sel…
15 0 Open
System design patterns medium

Object Pool Pattern for Database Connections in Python

Implements a reusable connection pool with acquire/release and context manager support, mocking database connections with idle reuse and exhaustion handling.

object-pool connection-pool databases
Python
import time
from contextlib import contextmanager
from collections import deque


class ConnectionPool:
    def __init__(self, size=3, max_idle=5):
        self._idle = deque(maxlen=max_idle)
        self._active = set()
        self.size = size

    def _create(self):
        return {"created_at": time.time(), "queri…
12 0 Open
System design patterns easy

Observer Pattern with Mock Metrics in Python

Implement the Observer pattern with a mock metrics collector to track state changes and verify notifications.

observer mock design pattern
Python
import unittest
from unittest.mock import Mock


class Subject:
    def __init__(self):
        self._state = 0
        self._observers = []

    def attach(self, observer):
        self._observers.append(observer)

    def set_state(self, value):
        if value != self._state:
            self._state = value
      …
12 0 Open
System design patterns medium

Outbox pattern reliable publish in Python with SQLite

Implements a transactional outbox with SQLite, ensuring reliable message publishing by storing events in the same DB transaction as business changes.

outbox sqlite transaction
Python
import sqlite3
from contextlib import contextmanager
from datetime import datetime, timezone


class Outbox:
    def __init__(self, db_path=":memory:"):
        self.conn = sqlite3.connect(db_path)
        self.conn.execute("""
            CREATE TABLE IF NOT EXISTS outbox (
                id INTEGER PRIMARY KEY AUTO…
11 0 Open
System design patterns easy

Python MVC Pattern Example (Model-View-Controller)

A minimal, runnable Model-View-Controller (MVC) example in pure Python that separates data, presentation, and logic.

mvc design-pattern architecture
Python
class Model:
    def __init__(self):
        self.data = {"title": "Initial Title", "content": "Initial Content"}

    def get_data(self):
        return self.data

    def update_data(self, title=None, content=None):
        if title:
            self.data["title"] = title
        if content:
            self.data["c…
15 0 Open
System design patterns easy

Route Messages to Handlers with a Python Dict

This code demonstrates a simple message routing pattern using a dictionary to map topic keys to handler functions, with a default handler for unmatched topics.

routing dictionary message-broker
Python
def route_message(message, routing_table):
    """Route a message to the correct handler based on the topic key."""
    topic = message.get("topic", "default")
    handler = routing_table.get(topic, routing_table.get("default"))
    return handler(message)


def handle_orders(message):
    return f"Orders handler proc…
12 0 Open
System design patterns medium

Simulate a Leaky Bucket Rate Limiter in Python

This code implements a leaky bucket rate limiter that drains at a fixed rate and accepts or rejects incoming requests based on capacity.

rate limiting leaky bucket simulation
Python
import time
from collections import deque


class LeakyBucket:
    """Simulates a leaky bucket rate limiter with a fixed drain rate."""
    def __init__(self, capacity, drain_rate_per_sec):
        self.capacity = capacity
        self.drain_rate = drain_rate_per_sec
        self.water = 0.0
        self.last_refill =…
13 0 Open
System design patterns medium

Singleton Config Loader in Python with Caution

Implements a singleton config loader in Python that reads JSON config files, but demonstrates the hidden gotcha of shared state across instances.

singleton config design-patterns
Python
import json
from pathlib import Path

class ConfigLoader:
    _instance = None

    def __new__(cls, *args, **kwargs):
        if cls._instance is None:
            cls._instance = super().__new__(cls)
        return cls._instance

    def __init__(self, config_file="config.json"):
        if not hasattr(self, "loaded…
12 0 Open

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