Reference library

Observability & SRE

Structured logging, metrics, tracing, health checks, and SLO-friendly instrumentation.

1 match
Observability & SRE medium

How to Build a Burn Rate Alert with Multiple Time Windows in Python

Track token consumption and trigger alerts when the burn rate exceeds a threshold across multiple time windows using deque and time-based sliding windows.

burn-rate alerts time-windows
Python
import time
from collections import deque

class BurnRateAlert:
    def __init__(self, windows_seconds=(60, 300, 900), threshold_rate=0.8):
        self.windows = {w: deque() for w in windows_seconds}
        self.threshold_rate = threshold_rate
        self.previous_tokens = None

    def record_sample(self, current_…
16 0 Open

Browse by section

Each section groups closely related Python snippets.

Observability & SRE — Python code examples

What you will find here

This page collects observability & sre snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.