LogHive CPU Usage to high monitoring

Monitor CPU and RAM usage in R

Performance is a critical aspect of any R application and can significantly affect the user experience. One of the most common performance issues for such 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. Another common performance issue is when the application uses too much RAM, which can slow down the system and lead to crashes.

To address these issues, it’s essential to monitor both the CPU and RAM usage of our R application and set up a system to track when usage goes above a certain threshold. By doing so, we can always be aware of the performance of our application and take immediate action to fix any performance issues that may arise.

Fortunately, LogHive offers a solution to help with these problems. LogHive is a real-time event tracking tool that seamlessly integrates with R. With LogHive, you can set up event tracking for anything you want and monitor your CPU and RAM usage in real-time.

How it works in R

LogHive provides a simple REST API that you can use to push events and errors to the LogHive service. You can organize your events into projects and groups to keep them organized and easily searchable. Once an event is pushed to LogHive, it is processed and can be viewed in the event stream or dashboard.

With just a few lines of R-code, you can start pushing events to LogHive and receiving push notifications for your application’s events and errors.


url <- "https://api.loghive.app/v1/event/add"
headers <- c(
  "Content-Type" = "application/json",
  "ApiKey" = "YourPersonalApiKey"
body <- list(
  project = "yourprojectname",
  group = "Monitoring",
  event= "System overload",
  notify= TRUE
json_body <- toJSON(body)

response <- POST(url, headers = headers, body = json_body)

status_code <- response$status_code
content <- content(response, as = "text")

If an error occurs while creating an event, you will receive an Error object in return.

{'StatusCode': 400, 'Message': 'missing group name'}

You can receive your API-Key here: API-Key.

Receive Push Notifications

To receive push notifications, you simply need to install the LogHive Android app (Playstore) or use LogHive through the web application and allow notifications.

Add an element to your project dashboard

In addition to push notifications, LogHive allows you to display captured events in a dashboard with various elements. With just a few clicks, you can display the events already pushed in the dashboard.

In conclusion, monitoring CPU and RAM usage is crucial for maintaining the performance of your R application. By using a tool like LogHive, you can easily track usage and take action to fix any issues that arise, ensuring that your application runs smoothly and provides a positive user experience.

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