System design patterns
Sharding, load balancing, CAP tradeoffs, and scaling patterns — interview and production ready.
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.
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__…
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.
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 …
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.
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}")
…
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.
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,…
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.
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 =…
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