Reference library

Observability & SRE

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

3 matches

Generate Mock CPU and Memory Metrics in Python

Build a mock_host_metrics() generator that outputs realistic CPU and memory usage percentages for monitoring demos and tests.

mock metrics monitoring

Python

import time
import random


def mock_host_metrics():
    """Generate mock CPU and memory metrics for a host."""
    cpu_percent = round(random.uniform(10.0, 95.0), 1)
    memory_percent = round(random.uniform(20.0, 90.0), 1)
    memory_used_mb = round(random.uniform(512, 8192), 1)

    return {
        "timestamp": in…

15 0 Open

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 easy

How to Calculate Apdex Score from Latency Data in Python

Generate simulated latency samples and compute the Apdex score to gauge user satisfaction with an application's performance.

apdex latency observability

Python

import random
import statistics

def generate_latencies(count=100, base=100, stddev=30):
    return [max(0, random.gauss(base, stddev)) for _ in range(count)]

def apdex(latencies, threshold=200):
    satisfied = sum(1 for lat in latencies if lat < threshold)
    tolerating = sum(1 for lat in latencies if lat >= thres…

15 0 Open

Browse by section

Each section groups closely related Python snippets.