1. System-Health-Monitoring-Script-Python-

This script checks CPU, memory, disk usage, and running processes, and logs alerts if thresholds are exceeded.

#!/usr/bin/env python3
import psutil
import logging
from datetime import datetime

# Configure logging
logging.basicConfig(filename='system_health.log',
                    level=logging.INFO,
                    format='%(asctime)s - %(levelname)s - %(message)s')

# Thresholds
CPU_THRESHOLD = 80   # percent
MEM_THRESHOLD = 80   # percent
DISK_THRESHOLD = 90  # percent

def check_cpu():
    usage = psutil.cpu_percent(interval=1)
    if usage > CPU_THRESHOLD:
        logging.warning(f"High CPU usage detected: {usage}%")
    return usage

def check_memory():
    mem = psutil.virtual_memory()
    if mem.percent > MEM_THRESHOLD:
        logging.warning(f"High Memory usage detected: {mem.percent}%")
    return mem.percent

def check_disk():
    disk = psutil.disk_usage('/')
    if disk.percent > DISK_THRESHOLD:
        logging.warning(f"High Disk usage detected: {disk.percent}%")
    return disk.percent

def check_processes():
    processes = [p.info for p in psutil.process_iter(['pid', 'name', 'cpu_percent'])]
    high_cpu_processes = [p for p in processes if p['cpu_percent'] > 50]
    if high_cpu_processes:
        logging.warning(f"Processes consuming high CPU: {high_cpu_processes}")
    return len(high_cpu_processes)

if __name__ == "__main__":
    cpu = check_cpu()
    mem = check_memory()
    disk = check_disk()
    high_cpu_proc_count = check_processes()

    print(f"CPU Usage: {cpu}%")
    print(f"Memory Usage: {mem}%")
    print(f"Disk Usage: {disk}%")
    print(f"Processes with high CPU usage: {high_cpu_proc_count}")
    print("System health check complete. Check 'system_health.log' for alerts.")

Usage:

• python3 system_health.py

• Alerts will be written to system_health.log if any thresholds are exceeded.

2. Application Health Checker (Python)

• This script checks if a web application is “up” by analyzing HTTP response codes.

#!/usr/bin/env python3
import requests
import logging
from datetime import datetime

# Configuration
APP_URL = "http://localhost:8080"  # Change to your app URL
TIMEOUT = 5                        # seconds

# Logging setup
logging.basicConfig(filename="app_health.log",
                    level=logging.INFO,
                    format="%(asctime)s - %(levelname)s - %(message)s")

def check_app_status(url):
    try:
        response = requests.get(url, timeout=TIMEOUT)
        if response.status_code == 200:
            logging.info(f"Application is UP (Status {response.status_code})")
            return "UP"
        else:
            logging.warning(f"Application DOWN (Status {response.status_code})")
            return "DOWN"
    except requests.exceptions.RequestException as e:
        logging.error(f"Application DOWN (Error: {e})")
        return "DOWN"

if __name__ == "__main__":
    status = check_app_status(APP_URL)
    print(f"Application status: {status}")
    print("Check 'app_health.log' for details")

Usage:

• python3 app_health_checker.py

Notes:

• HTTP 200 is considered UP. Any other status or connection failure is DOWN.

• Can be scheduled to run periodically via cron for continuous monitoring.

Summary:

• Backup script ensures your files are backed up locally or remotely with a timestamped folder.

• Health checker script monitors application uptime and logs alerts.