Reference library

Observability & SRE

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

4 matches

How to Create a Deep Health Check Database in Python

Setup a SQLite-backed health check database, insert mock data with response times and statuses, and generate a report ordered by most recent check.

sqlite health-check database

Python

import sqlite3
from datetime import datetime, timedelta
from pathlib import Path

DB_PATH = Path("deep_health_check.db")


def setup_database():
    conn = sqlite3.connect(DB_PATH)
    cursor = conn.cursor()
    cursor.execute("""
        CREATE TABLE IF NOT EXISTS health_checks (
            id INTEGER PRIMARY KEY AU…

14 0 Open

Observability & SRE easy

How to Implement Tail Sampling in Python

Sample the slowest subset of calls (tail) for latency analysis using a deque with a random ratio gate.

sampling latency observability

Python

import random
import time
from collections import deque

class TailSampler:
    def __init__(self, tail_ratio=0.1, max_samples=100):
        self.tail_ratio = tail_ratio
        self.max_samples = max_samples
        self.samples = deque(maxlen=max_samples)
        self.total_calls = 0

    def record(self, latency_ms…

13 0 Open

Observability & SRE easy

How to Mock a Baggage Context (Key-Value Store) in Python

This code implements an in-memory key-value mock of a baggage context, letting you set, get, check, and delete keys for tracing-style metadata.

baggage tracing mock

Python

class BaggageContext:
    def __init__(self):
        self._store = {}

    def set(self, key, value):
        self._store[key] = value
        return value

    def get(self, key, default=None):
        return self._store.get(key, default)

    def has(self, key):
        return key in self._store

    def delete(sel…

15 0 Open

Observability & SRE easy

Mocking a Metrics Gauge's set_value Method in Python

Demonstrates using unittest.mock.Mock with wraps to intercept a gauge's set_value call while verifying arguments and preserving real behavior.

unittest mocking metrics

Python

from unittest.mock import Mock

class MetricsGauge:
    def __init__(self, name):
        self.name = name
        self.value = 0.0

    def set_value(self, new_value):
        self.value = float(new_value)
        return self.value

# Usage demonstration with a mock
gauge = MetricsGauge("cpu_usage")
gauge_mock = Mock…

13 0 Open

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