Observability & SRE
Structured logging, metrics, tracing, health checks, and SLO-friendly instrumentation.
How to Calculate SLO Error Budget in Python
Simulate an SLO error budget by computing allowed downtime from a target availability percentage and mocking monthly incidents.
```python
import random
def calculate_error_budget(total_seconds: int, target_availability: float) -> float:
return (1.0 - target_availability) * total_seconds
def simulate_monthly_availability(seconds_in_month: int, budget_seconds: float) -> float:
# Mock: randomly consume a fraction of the error budget i…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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