15, Jul 2023

TRACK CRON JOBS WITH SWIFT LANGUAGE

Palzin Track Swift Use Cases

Track your Swift cron jobs

![Track your Swift cron jobs]

When setting up cron jobs in Swift, it is usually crucial to keep track of their execution and whether they have been executed successfully or not. Sometimes, a minor failure in a cronjob can cause your Swift application to stop working correctly. Palzin Track makes it easy to track your cron jobs and their execution status all in real-time, and it works seamlessly with your Swift code.

Connect Palzin Track to Swift


Setting up your account

Setting up Palzin Track with Swift is very simple!

  1. Create a free Palzin Track account.
  2. Create a new project on your dashboard.
  3. Copy your API token from the settings page.

Swift code snippets

Once your Palzin Track account is set up, you can use the following code snippets to track your cron jobs. Just replace the YOUR_API_TOKEN with your Palzin Track API token and update your project name.

Using Swift with URLSession


import Foundation  


\#if canImport(FoundationNetworking)  


import FoundationNetworking  


\#endif  


var semaphore = DispatchSemaphore (value: 0)  


let parameters = "{\"project\":\"my-project\",\"channel\":\"cronjobs\",\"event\":\"Cronjob Started\",\"description\":\"job: email-notifications\",\"icon\":\"⏰\",\"notify\":true}"  


let postData = parameters.data(using: .utf8)  


var request = URLRequest(url: URL(string: "https://api.palzin.live/v1/log")!,timeoutInterval: Double.infinity)  


request.addValue("application/json", forHTTPHeaderField: "Content-Type")  


request.addValue("Bearer YOUR_API_TOKEN", forHTTPHeaderField: "Authorization")  


request.httpMethod = "POST"  


request.httpBody = postData  


let task = URLSession.shared.dataTask(with: request) { data, response, error in   


 guard let data = data else {  


 print(String(describing: error))  


 semaphore.signal()  


 return  


 }  


 print(String(data: data, encoding: .utf8)!)  


 semaphore.signal()  


}  


task.resume()  


semaphore.wait()

Swift integration details

Palzin Track is an easy-to-use event tracking tool that allows you to track any event within your Swift application. One of the most common use cases for Palzin Track is tracking cron jobs as they are being executed. With Palzin Track, you can receive real-time push notifications on your desktop and mobile devices whenever a new cronjob is executed. In addition, you can create simple charts and filter through your data to help you better understand how your Swift application is performing.

Other use-cases for Palzin Track

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

Go Beyond the Metrics. Understand the Why.

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