Monitor CPU and Memory Usage of External Services Accessed by your Python Application

The performance and reliability of external services your Python application depends on play a crucial role in ensuring the overall efficiency and user experience. Monitoring the CPU and memory usage of these external services is vital to identify potential bottlenecks, resource constraints, and possible points of failure that could impact your application’s performance.

Saashound, a powerful real-time event tracking tool, offers a comprehensive solution for monitoring the CPU and memory usage of external services accessed by your Python application. By integrating Saashound directly into your application, you can gain valuable insights into the performance of external services, set up custom alerts for critical thresholds, and take proactive measures to optimize your application’s interactions with these services.

The Importance of Monitoring External Services

Your Python application often relies on various external services, such as databases, APIs, and third-party platforms. Monitoring the CPU and memory usage of these external services is crucial for the following reasons:

1. Performance Optimization: Tracking resource utilization helps identify performance bottlenecks and optimize interactions with external services for faster response times.

2. Service Reliability: Monitoring CPU and memory usage allows you to detect potential service overloads or resource constraints that could impact reliability.

3. Resource Management: Efficient resource utilization helps ensure optimal utilization of resources, reducing operational costs and improving scalability.

Connecting Saashound to Your Python Application

To start monitoring CPU and memory usage of external services accessed by your Python application using Saashound, follow these simple steps:

1. Sign up for a free Saashound account to begin tracking your application’s events.
2. Create your first project from the intuitive dashboard.
3. Access the settings and securely copy your unique API token.

Python Integration for Monitoring External Services

Integrating Saashound into your Python application to monitor external services is straightforward. Use the following code snippet to track CPU and memory usage events. Replace API_TOKEN with your actual Saashound API token and update the project name to match your project.

import json
import requests

def log_event():
    api_url = 'https://api.saashound.co/log-event'
    payload = {
        "project": "my-second-proect",
        "channel": "server-status",
        "event": "High CPU Usage",
        "description": "CPU for my-second-project has been over 95% for 1 Hour!.",
        "icon": "🔥",
        "notify": True  # Replace with the appropriate value
    }

    headers = {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer API_TOKEN'  # Replace API_TOKEN with your actual API token
    }

    try:
        response = requests.post(api_url, data=json.dumps(payload), headers=headers)

        if 200 <= response.status_code < 300:
            print('Log event sent successfully!')
        else:
            print('Failed to send log event. Response code:', response.status_code)
    except requests.exceptions.RequestException as error:
        print('Error sending log event:', error)

log_event()

Saashound Benefits

Saashound provides several benefits for monitoring CPU and memory usage of external services in your Python application:

• Real-Time Monitoring: Saashound offers real-time insights into CPU and memory usage, allowing you to respond to service performance changes immediately.
• Custom Alerts: Set up custom rules to receive instant notifications when CPU or memory usage exceeds specified thresholds, empowering you to take proactive action.
• Event Filtering: Customize the events you wish to track and analyze, focusing on specific external services critical to your application.
• Cross-Platform Push Notifications: Saashound sends push notifications to your preferred devices, ensuring you stay informed about critical events.

By utilizing Saashound’s monitoring capabilities, you can ensure the optimal performance and reliability of external services that your Python application relies on. Keep your application running smoothly and deliver an exceptional user experience with Saashound.