Observability & SRE
Structured logging, metrics, tracing, health checks, and SLO-friendly instrumentation.
How to Check Uptime with a Synthetic HTTP Mock in Python
Run a mock HTTP server locally and probe it with urllib to measure synthetic uptime and response times, perfect for testing monitoring logic without external dependencies.
import http.server
import threading
import time
import urllib.request
class MockHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
if self.path == "/health":
self.send_response(200)
self.send_header("Content-Type", "application/json")
self.end_headers()
…Mock Health Endpoint Liveness Check in Python
Simulate a liveness endpoint that reports service health with a configurable failure rate and uptime.
import time
import random
def liveness_check(service_name: str, failure_rate: float = 0.1) -> dict:
"""Mock health check that returns liveness status with a configurable failure rate."""
healthy = random.random() > failure_rate
response = {
"service": service_name,
"status": "alive" if he…Browse by section
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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.
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