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Reliability & rate limiting

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

3 matches

How to Mock a Slow Startup Probe in Python

Simulate slow service initialization with a configurable mock delay to test readiness probes.

import time
from dataclasses import dataclass, field


@dataclass
class StartupProbe:
    name: str
    min_wait_sec: float = 0.5
    max_wait_sec: float = 2.0
    _ready: bool = field(default=False, init=False, repr=False)

    def initialize(self) -> None:
        """Simulate slow startup with a fixed mock delay."""…

13 0 Open

Reliability & rate limiting easy

How to Retry on Specific Exception Tuples in Python

A decorator-based retry pattern that retries a function only when it raises exceptions specified in a tuple, with configurable retries and delay.

retry decorator exceptions

Python

import time
import random
from unittest.mock import patch


def retry_on_exceptions(retries=3, exceptions=(ValueError,), delay=0.1):
    def decorator(func):
        def wrapper(*args, **kwargs):
            for attempt in range(retries):
                try:
                    return func(*args, **kwargs)
          …

15 0 Open

Reliability & rate limiting medium

How to implement rate limiting per API key in Python

A simple sliding-window rate limiter that tracks request timestamps per API key and rejects requests exceeding the configured limit.

rate-limiting api time-window

Python

import time

API_RATE_LIMITS = {"api_key_1": 5, "api_key_2": 3}  # max requests per window
WINDOW_SECONDS = 10

class RateLimiter:
    def __init__(self, limits, window):
        self.limits = limits
        self.window = window
        self.requests = {key: [] for key in limits}

    def allow(self, api_key):
       …

13 0 Open

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