Reference library

Reliability & rate limiting

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

7 matches
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 Hedged Requests in Python

This code demonstrates a hedged request pattern using threading, which sends duplicate calls and returns the first result that arrives within a timeout.

hedged-requests threading timeout
Python
import time
from unittest.mock import Mock

def hedged_request(call, timeout=0.05):
    """Execute two duplicate calls, return first result within timeout."""
    result_container = {}

    def run_and_store():
        result_container['result'] = call()
        result_container['done'] = True

    # Simulate slow cal…
16 0 Open
Reliability & rate limiting medium

How to Implement a Bulkhead Pattern with Threading in Python

Implement a bulkhead pattern in Python that isolates concurrent tasks with a bounded semaphore, limiting active workers to prevent resource exhaustion.

bulkhead threading semaphore
Python
import threading
import time
import random


class Bulkhead:
    def __init__(self, workers: int):
        self._semaphore = threading.BoundedSemaphore(workers)
        self._lock = threading.Lock()
        self._active = 0

    def run(self, task):
        with self._semaphore:
            with self._lock:
          …
13 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 Simulate an Outbox Pattern with Reliable Retry in Python

This code implements a mock outbox pattern with records, delivery attempts, and retries to simulate reliable message publishing.

outbox retry messaging
Python
import time
import itertools

class Outbox:
    def __init__(self):
        self._records = []
        self._seq = itertools.count(1)

    def publish(self, topic, payload):
        record = {
            "id": next(self._seq),
            "topic": topic,
            "payload": payload,
            "status": "pending"…
14 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

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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Reliability & rate limiting — Python code examples

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