12, Jul 2023

MONITOR SUSPICIOUS ACTIVITY WITH GO LANGUAGE

Palzin Track Go Use Cases

Monitor suspicious activity in your Go application

When developing a Go application, whether it's intended for public release or private use, security is a top priority for developers. Ensuring the application's security and preventing misuse is crucial.

Misuse of the application can take various forms, including unauthorized data access or improper user actions, posing significant risks such as data loss, corruption, or even theft.

Therefore, it's imperative to establish a robust monitoring system within your Go application to detect and address suspicious activities effectively. This monitoring system should keep you and your team informed of any anomalies.

For instance, consider a scenario where you're creating a Go application that enables users to upload files. Such applications often face concerns about users attempting to abuse the service by uploading prohibited content, excessively large files, or even malware.

Palzin Track proves to be an invaluable tool in this context, simplifying event tracking and suspicious activity monitoring in your Go application. With Palzin Track, you can effortlessly track events, like user file uploads, and configure rules to notify you when a user attempts to upload a file exceeding 100MB. This way, you stay alerted when a user tries to upload an oversized file, allowing you to take necessary actions promptly.

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

Use the following code snippet to connect Palzin Track to your Go application. Make sure 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":"monitoring","event":"Suspicious File Detected","description":"User uploaded a suspicious file","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

Palzin Track is a flexible and easy-to-use event tracking service that can monitor suspicious activity in your Go application. 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.

For example, Palzin Track automatically generates user journeys for your product, and you can use this to see how your users use your application. In addition, in the case of suspicious activity, you can view the user's journey to see if they have performed any other questionable actions that they shouldn't have performed.

Here at Palzin Track, we believe 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.

Palzin Track 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 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 when a user exceeds the usage limit for your Go service
  14. Monitor when a user is being rate limited in your Go application
  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.