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Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

8 matches
Automation & scripting easy

How to Monitor Process RSS Memory in Python

Poll the VmRSS field from /proc/PID/status to watch a process's resident memory and alert on growth.

memory monitoring process
Python
import os
import time
import subprocess
import sys

def get_rss_mb(pid):
    """Return RSS memory in MB for a given process ID."""
    try:
        with open(f"/proc/{pid}/status", "r") as f:
            for line in f:
                if line.startswith("VmRSS:"):
                    return int(line.split()[1]) / 1024…
14 0 Open
Automation & scripting easy

Monitor Disk Usage and Alert in Python

A Python script that checks disk usage percentage against a threshold and returns an ALERT or OK message with free space details.

disk monitoring shutil
Python
import shutil
import os

def check_disk_usage(path="/", threshold=85.0):
    usage = shutil.disk_usage(path)
    percent_used = (usage.used / usage.total) * 100
    
    if percent_used > threshold:
        return (f"ALERT: Disk usage at {percent_used:.1f}% on {path} "
                f"(exceeds {threshold}% threshold…
13 0 Open
Cloud + Python easy

How to Build a Budget Alert Threshold with Mock Notifications in Python

This code calculates budget usage percentage and triggers a mock alert notification when the usage exceeds a defined threshold.

budget alert threshold
Python
budget = 500.0
spent = 620.0
alert_threshold = 0.8

def mock_notify(percent_used):
    if percent_used >= alert_threshold:
        return f"ALERT: Budget usage at {percent_used * 100:.1f}% — over {alert_threshold * 100:.0f}% threshold!"
    return f"OK: Budget usage at {percent_used * 100:.1f}% — under threshold."

pe…
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
Observability & SRE easy

How to Route Alerts by Severity in Python

Map alert severity levels to routing targets and simulate dispatching alerts to on-call pages, email, Slack, or logs.

observability alerts routing
Python
def main():
    # Severity levels with corresponding alert routing targets
    routing_map = {
        "critical": "call_page",
        "high": "call_page",
        "medium": "email_team",
        "low": "slack_channel",
        "info": "log_only"
    }

    # Simulated alerts with severity
    alerts = [
        {"na…
12 0 Open
Observability & SRE easy

How to mock Prometheus alert rule thresholds in Python

Simulate a Prometheus alert rule with a configurable threshold and duration window, firing only when the metric exceeds the threshold long enough.

prometheus alerting sre
Python
import time
import random


class MetricsStore:
    def __init__(self):
        self.metrics = {}

    def set_metric(self, name, value, labels=None):
        key = (name, tuple(sorted((labels or {}).items())))
        self.metrics[key] = value

    def get_metric(self, name, labels=None):
        key = (name, tuple(s…
14 0 Open
A/B testing & experimentation easy

How to Build a Guardrail Metrics Monitor in Python

This code implements a mock monitor that records metric values, checks them against thresholds, and summarizes pass/alert statistics.

metrics monitoring ab-testing
Python
import random
import time
from collections import defaultdict


class GuardrailMetricsMonitor:
    def __init__(self):
        self.metrics = defaultdict(list)
        self.thresholds = {
            "prompt_toxicity": 0.8,
            "response_length": 500,
            "latency_ms": 1000,
        }

    def record(s…
15 0 Open
Database scaling & optimization easy

Monitor Database Index Bloat in Python

Simulates index bloat checks for database tables using random ratio thresholds and reports alerts per index.

database index monitoring
Python
import random
import time

class IndexBloatMonitor:
    def __init__(self, thresholds=(0.5, 0.8, 0.9)):
        self.thresholds = thresholds
        self.indices = {
            "users_pk": 48.2,
            "orders_created_idx": 124.7,
            "products_name_idx": 15.3,
            "payments_user_idx": 203.9,
   …
15 0 Open

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