Reference library

Observability & SRE

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

3 matches

How to Check Service Readiness Dependencies in Python

This code simulates a readiness check for external dependencies (database, cache, queue) with mock availability data and reports readiness status.

readiness dependencies health-check

Python

import sys
from datetime import datetime


def check_dependencies(config):
    results = []
    for dep, required in config.items():
        available = mock_availability(dep)
        status = "READY" if available >= required else "NOT READY"
        results.append((dep, available, required, status))
    return result…

11 0 Open

Observability & SRE easy

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 Mock Database Query Duration in Python

Simulate realistic database query durations with random jitter for testing dashboards, alerts, and SLO calculations.

observability mock metrics

Python

import random
import time


def mock_query_duration(db_name, avg_ms, jitter_ms=5, runs=3):
    """Simulate database query durations with realistic variation."""
    durations = []
    for _ in range(runs):
        # Base duration plus random jitter (can be negative)
        duration = avg_ms + random.uniform(-jitter_m…

14 0 Open

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