Observability & SRE
Structured logging, metrics, tracing, health checks, and SLO-friendly instrumentation.
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.
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_…How to Implement an Error Budget Policy in Python
This code implements a mock error budget policy that decides whether to freeze deployments based on a simulated error rate and monthly freeze limits.
from datetime import datetime, timedelta
class ErrorBudgetPolicy:
FREEZE_WINDOW_HOURS = 24
MAX_FREEZES_PER_MONTH = 3
def __init__(self, budget_percentage=99.9):
self.budget_percentage = budget_percentage
self.freeze_count = 0
self.last_freeze_start = None
self.freeze_enabl…Browse by section
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Observability & SRE — Python code examples
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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.
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