NOTIFICATION TO PHONE OR DESKTOP WITH R LANGUAGE

Send push notifications to your phone or desktop using R

In the realm of software development, the necessity to monitor and receive real-time notifications for critical events is paramount. Palzin Track offers a straightforward solution for event tracking and instant notifications, accessible across multiple devices, including Desktop, Phone, and SmartWatch.

Our API simplifies the process of seamlessly integrating Palzin Track into your R codebase. With just an HTTP request and the inclusion of any supplementary information you desire, we handle the rest, ensuring a hassle-free setup.

Getting Palzin Track up and running within your R project is a breeze. You can easily incorporate our provided code snippets without the need for custom modules, streamlining the integration process.

Set up your Palzin Track account

1. Head to Palzin Track.com and create your free account.
2. Create a new project from your dashboard.
3. Copy your API token from the API settings.

Log your events via R

1. Copy one of the following code snippets into your text editor
2. Replace your API token, project name, and channel name.
3. Run your R code!

R snippets for Palzin Track

Send notifications using R and httr

library(httr)  


headers = c(  


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


 'Authorization' = 'Bearer YOUR_API_TOKEN'  


)  


body = '{  


 "project": "my-project",  


 "channel": "waitlist",  


 "event": "Waitlist Member",  


 "description": "email: [email protected]",  


 "icon": "🔥",  


 "notify": true  


}';  


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


cat(content(res, 'text'))

Send notifications using R and RCurl

library(RCurl)  


headers = c(  


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


 "Authorization" = "Bearer YOUR_API_TOKEN"  


)  


params = "{  


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


 \"channel\": \"waitlist\",  


 \"event\": \"Waitlist Member\",  


 \"description\": \"email: [email protected]\",  


 \"icon\": \"🔥\",  


 \"notify\": true  


}"  


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


cat(res)

Conclusion

Once an event is published, you get instant updates in real-time, and you could optionally turn on or off push notifications depending on the priority of your event.

Also, Palzin Track makes it very easy to organize your events into different projects and channels depending on their topic and provides you with a global and project-wide feed so you can scroll through your events.

In addition, with our collaborative features, you can add team members to a project so that everyone can receive push notifications and updates, regardless of the desktop or mobile platform they are using.

You can learn more about our API by heading to docs.palzin.live

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 exceeds the usage limit for your R service
15. Monitor when a user is being rate limited in your R application
16. Get a notification when your R code is done executing
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