Monitor when a user changes their email address in your Python application

Most of the time, when building a Python application that is served to users, you will need to store the user's email address in your database. There are multiple reasons for this, such as sending the user a welcome email when they sign up for your application, sending the user a password reset email when they request a password reset, or sending the user a notification when they have been mentioned in a comment. In addition, it is commonly used for user authentication and authorization.

In most cases, some users may want to change their email addresses for various reasons while using your application. For example, they may have mistyped their email address when they signed up for your application or changed their email address for personal reasons. In any case, it is essential to track when a user changes their email address in your Python application to ensure that you are always aware of the change and can update your database accordingly.

Fortunately, here at LogSnag, we have created a powerful solution for this problem. At its core, logSnag is a powerful, real-time event tracking tool that works seamlessly with any Python application. LogSnag makes it easy to track any important event in your Python application and monitor things such as user activity, user journeys, and more.

One common use case for LogSnag is to set up event tracking for when users change their email addresses in your Python application in real-time. You may also optionally set up rules to notify you and your team when a user changes their email address in your Python application.

In addition, LogSnag allows you to track user journeys and create a timeline of their actions to monitor the users' email address history and any other activity they have done in your application. This way, you can always track the activity of a specific user, such as when they change their email address and any other activity they have done in your application.

Setting up LogSnag

1. Sign up for a free LogSnag account.
2. Create your first project from the dashboard.
3. Head to settings and copy your API token.

Python code snippets

Use the following code snippet to track when a user changes their email address in your Python application. All you need to do is to replace the YOUR_API_TOKEN with your LogSnag API token and update the project name to your project name.

import http.client
import json

conn = http.client.HTTPSConnection("api.logsnag.com")
payload = json.dumps({
  "project": "my-saas",
  "channel": "profile",
  "event": "Updated Email Address",
  "description": "User updated their email address to john@example.com",
  "icon": "📭",
  "notify": True
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': 'Bearer YOUR_API_TOKEN'
}
conn.request("POST", "/v1/log", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

import requests
import json

url = "https://api.logsnag.com/v1/log"

payload = json.dumps({
  "project": "my-saas",
  "channel": "profile",
  "event": "Updated Email Address",
  "description": "User updated their email address to john@example.com",
  "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

LogSnag provides a set of powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more. In addition, LogSnag is flexible and easy to use, making it a great companion for your Python applications.

LogSnag provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So don't hesitate to give us a try and let us know what you think!

Other use-cases for LogSnag

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 failed logins in your Python application
6. Monitor failed payments for your Python application
7. Monitor memory usage in your Python application
8. Monitor MySQL downtime in your Python application
9. Monitor when a new feature is used in your Python application
10. Monitor your Postgres downtime in your Python application
11. Monitor Redis downtime in your Python application
12. Monitor suspicious activity in your Python application
13. Monitor when a user exceeds the usage limit for your Python service
14. Monitor when a user is being rate limited in your Python application
15. Get a notification when your Python code is done executing
16. Send push notifications to your phone or desktop using Python
17. Track canceled subscriptions in your Python application
18. Track your Python cron jobs
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. Track user signup events via Python
24. Track waitlist signup events via Python