09, Jul 2023

MONITOR DISK USAGE WITH JAVA LANGUAGE

Palzin Track Java Use Cases

Monitor high disk usage in your Java application

When it comes to developing applications in the realm of Java, managing persistent data is a recurring necessity. This can take various forms, such as handling JSON, CSV, or text files on local disks, uploading files to cloud storage solutions like S3 or Google Cloud Storage, or storing data in databases like MongoDB or MySQL. Irrespective of the method chosen, the utilization of disk storage is a pivotal factor for Java applications and has a substantial impact on the user experience.

Hence, it's imperative to implement robust disk usage monitoring for Java applications, whether they are operating in a local environment or residing in the cloud. The significance of this lies in the fact that exceeding a certain disk usage threshold can lead to application crashes and unavailability, resulting in substantial revenue loss and a compromised user experience.

Enter Palzin Track, a potent event tracking tool seamlessly integrated with Java. Palzin Track simplifies the process of tracking crucial events in Java applications in real time. An exemplary use case for Palzin Track involves real-time tracking of disk usage, coupled with the ability to establish alert rules that promptly notify your team when disk usage surpasses predefined thresholds. This proactive approach ensures continuous performance awareness, enabling immediate corrective action when necessary.

Connect Palzin Track to Java


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.

Java code snippets

Use the following code to connect Palzin Track to your Java application and track disk usage: Please replace the YOUR_API_TOKEN with your API token and update the project and channel names.

Using Java with OkHttp


OkHttpClient client = new OkHttpClient().newBuilder()  


 .build();  


MediaType mediaType = MediaType.parse("application/json");  


RequestBody body = RequestBody.create(mediaType, "{\"project\":\"my-project\",\"channel\":\"status\",\"event\":\"High Disk Usage\",\"description\":\"The disk usage is high.\",\"icon\":\"💾\",\"notify\":true}");  


Request request = new Request.Builder()  


 .url("https://api.palzin.live/v1/log")  


 .method("POST", body)  


 .addHeader("Content-Type", "application/json")  


 .addHeader("Authorization", "Bearer YOUR_API_TOKEN")  


 .build();  


Response response = client.newCall(request).execute();

Using Java with Unirest


Unirest.setTimeouts(0, 0);  


HttpResponseString> response = Unirest.post("https://api.palzin.live/v1/log")  


 .header("Content-Type", "application/json")  


 .header("Authorization", "Bearer YOUR_API_TOKEN")  


 .body("{\"project\":\"my-project\",\"channel\":\"status\",\"event\":\"High Disk Usage\",\"description\":\"The disk usage is high.\",\"icon\":\"💾\",\"notify\":true}")  


 .asString();

Java integration details

In addition to real-time event tracking, Palzin Track provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more. Via Palzin Track, you can get better insight into your Java application and track anything important all in one place and in real time.

We strive to make event tracking 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, Palzin Track is flexible and easy to use, making it a great companion for your Java applications.

Other use-cases for Palzin Track

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

Go Beyond the Metrics. Understand the Why.

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