MONITOR USAGE LIMIT EXCEEDED WITH R LANGUAGE

Monitor when a user exceeds the usage limit for your R service

In today's landscape, many services are adopting a pay-as-you-go approach, which can be based on either monthly usage limits or metered usage. This trend is particularly prevalent in cloud computing, software, and various online services. If you are developing a R-based service, you will likely need to establish your usage model and associated limits.

Irrespective of your specific implementation, it becomes essential to create an internal system for tracking usage and setting up notifications to alert you and your team when a user reaches their designated limit. This is a common challenge, as it provides valuable insights into how your users utilize your service, enabling you to enhance your product based on user behavior.

Enter Palzin Track, a service designed to offer real-time event tracking. It serves as an ideal solution for this task and seamlessly integrates with R. Palzin Track simplifies the process of transmitting events to your dashboard and facilitates push notifications whenever critical events occur.

For instance, consider a scenario where you are developing a R-based service that allows users to upload files, but you wish to impose a limit of ten uploads per user. Palzin Track comes to the rescue by enabling you to send events to your dashboard whenever a user uploads a file. Additionally, you can configure a rule to notify you when a user hits the ten-file upload limit. This functionality ensures you are promptly informed when a user reaches their designated threshold, empowering you to take further action as needed.

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

Copy the following code snippet to your R project. Please note that you will need to replace the API token with your own.

Using R with httr

library(httr)  


headers = c(  


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


 'Authorization' = 'Bearer YOUR_API_TOKEN'  


)  


body = '{  


 "project": "my-project",  


 "channel": "limits",  


 "event": "Usage Limit Exceeded",  


 "description": "The user has exceeded the usage limit for the service.",  


 "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\": \"limits\",  


 \"event\": \"Usage Limit Exceeded\",  


 \"description\": \"The user has exceeded the usage limit for the service.\",  


 \"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

Palzin Track is a flexible and easy-to-use event tracking service that works excellently with R. In addition to real-time event tracking and cross-platform push notifications, Palzin Track provides powerful user journey tracking, simple event filtering, search, and analytic tools such as charts.

In addition to tracking usage events, you can also use Palzin Track to track other important events such as errors, user sign-ups, user logins, payments, or anything else you can think of.

Setting up Palzin Track with your R application takes a few minutes, and you can start tracking events in no time.

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 logins in your R application
7. Monitor failed payments for your R application
8. Monitor memory usage in your R application
9. Monitor MySQL downtime in your R application
10. Monitor when a new feature is used in your R application
11. Monitor your Postgres downtime in your R application
12. Monitor Redis downtime in your R application
13. Monitor suspicious activity in your R application
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