Track your R cron jobs

When setting up cron jobs in R, it is usually crucial to keep track of their execution and whether they have been executed successfully or not. Sometimes, a minor failure in a cronjob can cause your R application to stop working correctly. LogSnag makes it easy to track your cron jobs and their execution status all in real-time, and it works seamlessly with your R code.

Setting up your account

Setting up LogSnag with R is very simple!

1. Create a free LogSnag account.
2. Create a new project on your dashboard.
3. Copy your API token from the settings page.

R code snippets

Once your LogSnag account is set up, you can use the following code snippets to track your cron jobs. Just replace the YOUR_API_TOKEN with your LogSnag API token and update your project name.

library(httr)

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

body = '{
  "project": "my-saas",
  "channel": "cronjobs",
  "event": "Cronjob Started",
  "description": "job: email-notifications",
  "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\": \"cronjobs\",
  \"event\": \"Cronjob Started\",
  \"description\": \"job: email-notifications\",
  \"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

LogSnag is an easy-to-use event tracking tool that allows you to track any event within your R application. One of the most common use cases for LogSnag is tracking cron jobs as they are being executed. With LogSnag, you can receive real-time push notifications on your desktop and mobile devices whenever a new cronjob is executed. In addition, you can create simple charts and filter through your data to help you better understand how your R application is performing.

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 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. Send push notifications to your phone or desktop using R
18. Track canceled subscriptions in your R application
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