TRACK CRON JOBS WITH PYTHON LANGUAGE

Track your Python cron jobs

![Track your Python cron jobs]

When setting up cron jobs in Python, it is usually crucial to keep track of their execution and whether they have been executed successfully or not. Sometimes, a minor failure in a cronjob can cause your Python application to stop working correctly. Palzin Track makes it easy to track your cron jobs and their execution status all in real-time, and it works seamlessly with your Python code.

Connect Palzin Track to Python

Setting up your account

Setting up Palzin Track with Python is very simple!

1. Create a free Palzin Track account.
2. Create a new project on your dashboard.
3. Copy your API token from the settings page.

Python code snippets

Once your Palzin Track account is set up, you can use the following code snippets to track your cron jobs. Just replace the YOUR_API_TOKEN with your Palzin Track API token and update your project name.

Using Python with http.client

import http.client  


import json  


conn = http.client.HTTPSConnection("palzin.live")  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "cronjobs",  


 "event": "Cronjob Started",  


 "description": "job: email-notifications",  


 "icon": "⏰",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


conn.request("POST", "/api/v1/log", payload, headers)  


res = conn.getresponse()  


data = res.read()  


print(data.decode("utf-8"))

Using Python with Requests

import requests  


import json  


url = "https://api.palzin.live/v1/log"  


payload = json.dumps({  


 "project": "my-project",  


 "channel": "cronjobs",  


 "event": "Cronjob Started",  


 "description": "job: email-notifications",  


 "icon": "⏰",  


 "notify": True  


})  


headers = {  


 'Content-Type': 'application/json',  


 'Authorization': 'Bearer YOUR_API_TOKEN'  


}  


response = requests.request("POST", url, headers=headers, data=payload)  


print(response.text)

Python integration details

Palzin Track is an easy-to-use event tracking tool that allows you to track any event within your Python application. One of the most common use cases for Palzin Track is tracking cron jobs as they are being executed. With Palzin Track, you can receive real-time push notifications on your desktop and mobile devices whenever a new cronjob is executed. In addition, you can create simple charts and filter through your data to help you better understand how your Python application is performing.

Other use-cases for Palzin Track

1. Monitor your CI/CD build status for your Python application
2. Monitor your CPU usage in your Python application
3. Monitor when database goes down in your Python application
4. Monitor high disk usage in your Python application
5. Monitor when a user changes their email address in your Python application
6. Monitor failed logins in your Python application
7. Monitor failed payments for your Python application
8. Monitor memory usage in your Python application
9. Monitor MySQL downtime in your Python application
10. Monitor when a new feature is used in your Python application
11. Monitor your Postgres downtime in your Python application
12. Monitor Redis downtime in your Python application
13. Monitor suspicious activity in your Python application
14. Monitor when a user exceeds the usage limit for your Python service
15. Monitor when a user is being rate limited in your Python application
16. Get a notification when your Python code is done executing
17. Send push notifications to your phone or desktop using Python
18. Track canceled subscriptions in your Python application
19. Track when a file is uploaded to your Python application
20. Track when a form is submitted to your Python application
21. Track payment events via Python
22. Track user sign in events in Python
23. Monitor user signup events via Python
24. Track waitlist signup events via Python