25, Jul 2023

MONITOR FAILED LOGINS WITH R LANGUAGE

Palzin Track R Use Cases

Monitor failed logins in your R application

In most R applications, user authentication is a fundamental requirement to control access, safeguard security, and prevent issues like API misuse. Authentication methods can vary, with common approaches including basic authentication, social logins (e.g., Google, Facebook), and more.

Irrespective of the chosen authentication method, dealing with failed login attempts is a frequent concern. Failures can result from incorrect credentials or other factors like login attempts by unauthorized users trying to breach the system. In such scenarios, it is essential to monitor and respond appropriately to failed login attempts. For instance, identifying users repeatedly struggling to log in may prompt us to offer assistance, while cases of brute-force attacks may require immediate actions such as IP address blocking, notifying the targeted user, and more.

Enter Palzin Track, our solution for effective monitoring and issue tracking. Palzin Track is a robust, real-time event tracking tool seamlessly integrated with R. Setting up real-time event tracking for critical application aspects is made straightforward. Additionally, we offer advanced features for taking event tracking to the next level, including user journey creation, analytics, insights, and more.

Consider the example of handling failed logins. With Palzin Track, we can configure it to track failed login attempts and provide notifications when unusual activity is detected. This empowers us to maintain a constant vigilance over our application's security and take prompt action when necessary.

Connect Palzin Track to R


Setting up Palzin Track

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

R code snippets

To track failed logins, you can use the following code snippet Please ensure to replace YOUR_API_TOKEN with your API token and update the project and channel names.

Using R with httr


library(httr)  


headers = c(  


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


 'Authorization' = 'Bearer YOUR_API_TOKEN'  


)  


body = '{  


 "project": "my-project",  


 "channel": "status",  


 "event": "Failed Login Attempt",  


 "description": "Detected 3 failed login attempts in the last 5 minutes",  


 "icon": "⚠️",  


 "notify": true  


}';  


res VERB("POST", url = "https://api.palzin.live/v1/log", body = body, add_headers(headers))  


cat(content(res, 'text'))

Using R with RCurl


library(RCurl)  


headers = c(  


 "Content-Type" = "application/json",  


 "Authorization" = "Bearer YOUR_API_TOKEN"  


)  


params = "{  


 \"project\": \"my-project\",  


 \"channel\": \"status\",  


 \"event\": \"Failed Login Attempt\",  


 \"description\": \"Detected 3 failed login attempts in the last 5 minutes\",  


 \"icon\": \"⚠️\",  


 \"notify\": true  


}"  


res postForm("https://api.palzin.live/v1/log", .opts=list(postfields = params, httpheader = headers, followlocation = TRUE), style = "httppost")  


cat(res)

R integration details

We believe that event tracking should be simple and accessible to every developer and team. Therefore, we have worked hard to create the next generation of event-tracking tools. As a result, Palzin Track is flexible and easy to use, making it a great companion for your R applications.

We would love to see you use Palzin Track to track every aspect of your R application. So please give us a try and let us know what you think!

Other use-cases for Palzin Track

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

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