14, Aug 2023

MONITOR USAGE THROTTLING WITH GO LANGUAGE

Palzin Track Go Use Cases

Monitor when a user is being rate limited in your Go application

When working on a Go application, managing throttling is a common necessity. Throttling involves restricting the number of requests a user can make to your application, a crucial measure when dealing with high user volumes. For instance, consider a Go application enabling users to upload files; it's prudent to set a limit, like allowing users to upload a maximum of 10 files per minute. Such limitations serve to prevent potential misuse of your service.

Monitoring when throttling is triggered in your Go application is of utmost importance. It can indicate issues in your implementation or even hint at users attempting to exploit your service. Thus, it's essential to establish a robust monitoring system to detect throttle triggers and promptly notify you and your team when irregularities occur.

Palzin Track proves to be an invaluable tool for addressing this challenge. It simplifies the process of tracking events within your Go application, making it effortless to monitor throttle occurrences. As an example, you can employ Palzin Track to track the event of a user uploading a file and set up alert rules to notify you when a user reaches the ten-file limit. This approach empowers you to stay informed about user activity and respond effectively when necessary.

Connect Palzin Track to Go


Setting up Palzin Track

  1. Sign up for a free Palzin Track account.
  2. Create your first project from the dashboard.
  3. Head to settings and copy your API token.

Go code snippets

Copy and paste the following code into your Go project. You are required to replace the YOUR_API_TOKEN with your API token and update the project and channel names.

Using Go with Native


package main  


import (  


 "fmt"  


 "strings"  


 "net/http"  


 "io/ioutil"  


)  


func main() {  


 url := "https://api.palzin.live/v1/log"  


 method := "POST"  


 payload := strings.NewReader(`{"project":"my-project","channel":"limits","event":"User is being rate limited","description":"User has uploaded more than the allowed amount of files","icon":"⏱","notify":true}`)  


 client := &http.Client {  


 }  


 req, err := http.NewRequest(method, url, payload)  


 if err != nil {  


 fmt.Println(err)  


 return  


 }  


 req.Header.Add("Content-Type", "application/json")  


 req.Header.Add("Authorization", "Bearer YOUR_API_TOKEN")  


 res, err := client.Do(req)  


 if err != nil {  


 fmt.Println(err)  


 return  


 }  


 defer res.Body.Close()  


 body, err := ioutil.ReadAll(res.Body)  


 if err != nil {  


 fmt.Println(err)  


 return  


 }  


 fmt.Println(string(body))  


}

Go integration details

When designing Palzin Track, we aimed to create the most simple yet flexible event tracking tool possible. We wanted to make it easy for developers to integrate with their Go applications and to start tracking events in no time.

Today, Palzin Track is what we believe to be the next generation of event tracking. It works excellent with Go and provides powerful features such as real-time event tracking, cross-platform push notifications, event filtering, user and product journeys, charts and analytics, and much more.

Palzin Track provides a free plan to get you started with event tracking, and we can't wait to see how you use it. So please give it a try, and don't hesitate to reach out to us if you have any questions or feedback!

Other use-cases for Palzin Track

  1. Monitor your CI/CD build status for your Go application
  2. Monitor your CPU usage in your Go application
  3. Monitor when database goes down in your Go application
  4. Monitor high disk usage in your Go application
  5. Monitor when a user changes their email address in your Go application
  6. Monitor failed logins in your Go application
  7. Monitor failed payments for your Go application
  8. Monitor memory usage in your Go application
  9. Monitor MySQL downtime in your Go application
  10. Monitor when a new feature is used in your Go application
  11. Monitor your Postgres downtime in your Go application
  12. Monitor Redis downtime in your Go application
  13. Monitor suspicious activity in your Go application
  14. Monitor when a user exceeds the usage limit for your Go service
  15. Get a notification when your Go code is done executing
  16. Send push notifications to your phone or desktop using Go
  17. Track canceled subscriptions in your Go application
  18. Track your Go cron jobs
  19. Track when a file is uploaded to your Go application
  20. Track when a form is submitted to your Go application
  21. Track payment events via Go
  22. Track user sign in events in Go
  23. Monitor user signup events via Go
  24. Track waitlist signup events via Go

Go Beyond the Metrics. Understand the Why.

Palzin Track reveals the human stories behind your data. Make user-centric decisions that drive growth.