Monitor failed logins in your R application

Most R applications require some form of authentication for users to access the application. This is a common practice to ensure that only authorized users can access the application and prevent security issues such as API abuse. These authentication methods can be implemented in various ways, but the most common are basic authentication, Social logins (Google, Facebook, etc.), and more.

With either method, we commonly have to deal with failed logins, be it due to incorrect credentials or other reasons, such as someone trying to brute-force the login. In such cases, monitoring failed logins and taking action depending on the situation is crucial. For example, suppose we notice a user repeatedly falling to login. In that case, we can take action to reach out to them and offer help, or in cases of brute-force attacks, we can take immediate action to block the user's IP address, notify the targeted user, and more.

Here at LogSnag, we have worked on a powerful solution for monitoring and tracking problems. We have created LogSnag, a powerful, real-time event tracking tool that works seamlessly with R. We have made it trivial to set up real-time event tracking for anything important within our applications. In addition, we provide powerful features that let us take event tracking to the next level and do things like creating user journeys, analytics, insights, and more.

For example, in the case of failed logins, we can set up LogSnag to track failed attempts and notify our team when we observe unusual behavior. This way, we can always be aware of the security of our application and take immediate action if needed.

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.

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.

library(httr)

headers = c(
  'Content-Type' = 'application/json',
  'Authorization' = 'Bearer YOUR_API_TOKEN'
)

body = '{
  "project": "my-saas",
  "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.logsnag.com/v1/log", body = body, add_headers(headers))

cat(content(res, 'text'))

library(RCurl)
headers = c(
  "Content-Type" = "application/json",
  "Authorization" = "Bearer YOUR_API_TOKEN"
)
params = "{
  \"project\": \"my-saas\",
  \"channel\": \"status\",
  \"event\": \"Failed Login Attempt\",
  \"description\": \"Detected 3 failed login attempts in the last 5 minutes\",
  \"icon\": \"⚠️\",
  \"notify\": true
}"
res <- postForm("https://api.logsnag.com/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, LogSnag is flexible and easy to use, making it a great companion for your R applications.

We would love to see you use LogSnag 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 LogSnag

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. Track user signup events via R
24. Track waitlist signup events via R