Reference library

Reliability & rate limiting

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

11 matches
Reliability & rate limiting medium

Circuit breaker failure threshold count in Python

Track consecutive or time-windowed failures with a deque to open a circuit breaker and auto-recover to half-open after a cooldown.

circuit-breaker resilience deque
Python
from collections import deque
from time import time, sleep


class CircuitBreaker:
    def __init__(self, failure_threshold: int = 5, recovery_time: float = 10.0):
        self.failure_threshold = failure_threshold
        self.recovery_time = recovery_time
        self.failures: deque[float] = deque()
        self.st…
16 0 Open
Reliability & rate limiting medium

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.

retry decorator resilience
Python
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 medium

How to Implement Graceful Degradation with Feature Disabling in Python

A pattern that disables enhanced features and falls back to basic functionality when a dependency fails, with mock-based testing.

graceful-degradation feature-flags resilience
Python
import random
from unittest.mock import patch


class EnhancedFeature:
    """A feature that can gracefully degrade when a dependency is unavailable."""

    def __init__(self):
        self.feature_enabled = True

    def get_enhanced_data(self):
        """Simulate an enhanced feature that depends on external data."…
12 0 Open
Reliability & rate limiting medium

How to Implement a Circuit Breaker in Python

A Python dataclass that provides circuit breaker logic with closed, open, and half-open states to fail fast on repeated errors.

circuit-breaker resilience fault-tolerance
Python
from dataclasses import dataclass
from datetime import datetime, timedelta
import time


@dataclass
class CircuitBreaker:
    failure_threshold: int = 3
    timeout_seconds: float = 5.0
    failures: int = 0
    state: str = "closed"
    last_failure: datetime = None

    def call(self, func):
        if self.state ==…
15 0 Open
Reliability & rate limiting medium

How to Implement an Adaptive Rate Limiter in Python

Build an adaptive rate limiter that adjusts request intervals dynamically based on recent error rates, slowing down when failures spike.

rate-limiting backoff adaptive
Python
import time
import random

class AdaptiveRateLimiter:
    """Simple adaptive rate limiter that reduces requests when error rate is high."""
    
    def __init__(self, min_interval=0.1, max_interval=2.0, error_threshold=0.3):
        self.min_interval = min_interval
        self.max_interval = max_interval
        sel…
12 0 Open
Reliability & rate limiting medium

How to Mock a Liveness Check and Restart a Process in Python

Simulate a failing process and restart it after a liveness check fails, using a mock class and a liveness loop.

liveness restart mock
Python
import subprocess
import sys
import time
import os

class ProcessMock:
    def __init__(self, name, fail_after_seconds=3):
        self.name = name
        self.fail_after = fail_after_seconds
        self.start_time = None
        self.is_running = False

    def start(self):
        self.start_time = time.time()
   …
14 0 Open
Reliability & rate limiting medium

How to Send Messages to a Dead Letter Queue in Python

Simulates a poison message queue that retries failed messages up to a limit before moving them to a dead letter queue.

dlq message queue retries
Python
import json

class PoisonMessageQueue:
    def __init__(self, max_retries=3):
        self.dlq = []
        self.max_retries = max_retries
        self.processed_count = 0
        self.failed_count = 0

    def process_message(self, message_body):
        if "poison" in message_body:
            self.failed_count += 1…
15 0 Open
Reliability & rate limiting medium

Implement a Circuit Breaker Pattern in Python

This code implements a simple circuit breaker that opens after a threshold of consecutive failures, causing subsequent calls to fail fast without invoking the underlying function.

circuit-breaker reliability resilience
Python
class CircuitBreaker:
    def __init__(self, failure_threshold=3):
        self.failure_threshold = failure_threshold
        self.failure_count = 0
        self.open = False

    def call(self, func, *args, **kwargs):
        if self.open:
            raise RuntimeError("Circuit is open - failing fast")
        try:
…
15 0 Open
Reliability & rate limiting medium

Leaky Bucket Rate Limiter in Python: Smooth Burst Traffic

Implements a token-bucket-style leaky bucket rate limiter that smooths bursty traffic by draining at a fixed rate and dropping excess packets.

rate-limiting traffic-shaping simulation
Python
import time
import random


class LeakyBucket:
    def __init__(self, capacity, drain_rate):
        self.capacity = capacity
        self.drain_rate = drain_rate
        self.water = 0.0
        self.last_time = time.time()

    def allow(self, packet_size=1.0):
        now = time.time()
        elapsed = now - self.…
14 0 Open
Reliability & rate limiting medium

Retry with Exponential Backoff and Jitter in Python

A decorator-style retry wrapper that retries a flaky function with exponential backoff plus random jitter, then raises after the last attempt fails.

retry backoff jitter
Python
import random
import time

def retry_with_backoff(func, max_retries=3, base_delay=0.5, max_jitter=0.1):
    for attempt in range(max_retries + 1):
        try:
            return func()
        except Exception as e:
            if attempt == max_retries:
                raise
            delay = base_delay * (2 ** at…
14 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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