When developing software, there is a need for a way to track important events and be notified when something happens. LogSnag provides an easy way to track important events and be notified in real-time on your Desktop, Phone, and SmartWatch.
Our API makes it very easy for anyone to integrate LogSnag into their R code. You can simply send an HTTP request to our API with any additional information you like, and we will take care of the rest.
Setting up LogSnag with R is as easy as using our code snippets with no custom modules required.
Set up your LogSnag account
- Head to LogSnag.com and create your free account.
- Create a new project from your dashboard.
- Copy your API token from the API settings.
Log your events via R
- Copy one of the following code snippets into your text editor
- Replace your API token, project name, and channel name.
- Run your R code!
R snippets for LogSnag
Send notifications using R and httr
Send notifications using R and RCurl
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, LogSnag 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.logsnag.com
Other use-cases for LogSnag
- Monitor your CI/CD build status for your R application
- Monitor your CPU usage in your R application
- Monitor when database goes down in your R application
- Monitor high disk usage in your R application
- Monitor when a user changes their email address in your R application
- Monitor failed logins in your R application
- Monitor failed payments for your R application
- Monitor memory usage in your R application
- Monitor MySQL downtime in your R application
- Monitor when a new feature is used in your R application
- Monitor your Postgres downtime in your R application
- Monitor Redis downtime in your R application
- Monitor suspicious activity in your R application
- Monitor when a user exceeds the usage limit for your R service
- Monitor when a user is being rate limited in your R application
- Get a notification when your R code is done executing
- Track canceled subscriptions in your R application
- Track your R cron jobs
- Track when a file is uploaded to your R application
- Track when a form is submitted to your R application
- Track payment events via R
- Track user sign in events in R
- Track user signup events via R
- Track waitlist signup events via R