Reference library

Observability & SRE

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

4 matches
Observability & SRE medium

How to Build an HTTP Server Request Duration Histogram in Python

Create a small HTTP server that times each GET request, buckets the duration, and prints a histogram on shutdown.

http.server histogram performance
Python
import time
import random
from collections import Counter
from http.server import HTTPServer, BaseHTTPRequestHandler


class HistogramHandler(BaseHTTPRequestHandler):
    response_times = Counter()

    def do_GET(self):
        start = time.perf_counter()
        time.sleep(random.uniform(0.001, 0.1))
        duratio…
13 0 Open
Observability & SRE medium

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.

uptime http-server monitoring
Python
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()
   …
14 0 Open
Observability & SRE medium

How to Group Alerts by Time Window in Python

Group alert occurrences that fall within a sliding time window per alert key, reducing noise and summarizing bursts into single events.

alerts grouping monitoring
Python
from collections import defaultdict
from datetime import datetime, timedelta

def group_alerts(alerts, window_minutes=10):
    """Group alerts that occur within the same time window."""
    alerts_by_key = defaultdict(list)
    
    for alert in alerts:
        key = alert["key"]
        timestamp = alert["timestamp"]…
12 0 Open
Observability & SRE medium

Summary Quantile Mock Sketch in Python

Build a memory-efficient sketch that stores sorted bins of data points to answer approximate quantile queries like median without keeping all values in memory.

quantile sketch statistics
Python
import random
import statistics
from collections import Counter

class SummaryQuantileSketch:
    """
    A simple sketch that stores a fixed-size summary of data (min, max, deciles)
    using sorted bins, then answers approximate quantile queries.
    """
    def __init__(self, bins=10):
        self.bins = bins
    …
13 0 Open

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Observability & SRE — Python code examples

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