Reference library

Reliability & rate limiting

Retries, exponential backoff, circuit breakers, token buckets, and idempotent handlers.

3 matches

How to Cap Retry Attempts in Python with a Decorator

Build a reusable retry decorator that caps attempts, adds delays, and lets flaky services fail fast instead of hanging.

import random
from functools import wraps
from time import sleep


def retry(max_attempts, delay=0.1):
    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            attempts = 0
            while attempts < max_attempts:
                try:
                    return func(*args, **kw…

13 0 Open

Reliability & rate limiting easy

How to Inject Random Latency for Chaos Testing in Python

Mock unreliable services by wrapping functions with a decorator that adds random network-like delays before execution.

chaos-engineering decorators latency

Python

import random
import time
from functools import wraps

def inject_latency(func):
    @wraps(func)
    def wrapper(*args, **kwargs):
        latency = random.uniform(0.1, 0.5)
        print(f"Injecting {latency:.3f}s latency...")
        time.sleep(latency)
        return func(*args, **kwargs)
    return wrapper

@inje…

12 0 Open

Reliability & rate limiting medium

Saga Compensating Transaction Mock in Python

Simulates a distributed transaction using a saga pattern with compensating actions that roll back steps on failure.

saga transaction compensation

Python

import random
import time


class OrderService:
    def __init__(self):
        self.orders = {}

    def create_order(self, order_id):
        print(f"[Order] Creating order {order_id}...")
        time.sleep(0.1)
        if random.random() < 0.3:  # 30% chance of failure
            raise RuntimeError(f"Order {order…

12 0 Open

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