Monitor your CPU usage in your R application

When building a R application, we often have to think and deal with performance issues. Performance is a critical aspect of any application and can significantly affect the user experience. One of the most common performance issues for R applications is when the workload is CPU bound. This means that the application spends most of its time waiting for the CPU to complete a task.

In such cases, monitoring our R application's CPU usage and setting up a system to track when use goes above a certain threshold is essential. This way, we can always be aware of the performance of our application. Furthermore, in cases of a performance issue, for example, when the CPU usage goes above a certain threshold, we can take immediate action and fix the problem before it becomes a significant issue.

Fortunately, here at LogSnag, we have created a powerful solution for this problem. LogSnag is a powerful, real-time event tracking tool that works seamlessly with R. With LogSnag, you can set up event tracking for anything you want and monitor things like your CPU usage in real-time. In addition, you can set up a rule to notify you and your team when the CPU usage goes above a certain threshold. This way, you will always be aware of the performance of your application, and you can 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 your CPU usage, you can use the following code snippet Please don't forget to replace the 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": "High CPU Usage",
  "description": "CPI usage has been over 90% for 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\": \"High CPU Usage\",
  \"description\": \"CPI usage has been over 90% for 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.

In addition to real-time event tracking, LogSnag provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more.

LogSnag provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. 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 when database goes down in your R application
3. Monitor high disk usage in your R application
4. Monitor when a user changes their email address in your R application
5. Monitor failed logins 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