Monitor High Disk Usage in Your Swift Application

High disk usage can be a critical concern for the smooth operation of your Swift application. Excessive disk usage can lead to performance degradation, slower response times, and potential application crashes. As a responsible application owner, it is essential to monitor disk usage closely and be notified promptly if it reaches critical levels.

Saashound, a powerful real-time event tracking tool, offers seamless monitoring for high disk usage in your Swift application. By integrating Saashound directly into your application or server, you can effortlessly track disk usage in real-time and receive timely alerts when disk space consumption becomes a concern.

Connecting Saashound to Your Swift Application

To begin monitoring high disk usage in your Swift application using Saashound, follow these simple steps:

1. Sign up for a free Saashound account to start tracking your application’s events.
2. Create your first project from the user-friendly dashboard.
3. Access the settings and securely copy your unique API token.

Swift Integration

Integrating Saashound into your Swift application is straightforward. Use the following code snippet to start tracking disk usage. Remember to replace API_TOKEN with your actual Saashound API token and update the project name to match your project.

import Foundation

func logEvent() {
    let apiUrl = URL(string: "https://api.saashound.co/log-event")!

    var request = URLRequest(url: apiUrl)
    request.httpMethod = "POST"
    request.addValue("application/json", forHTTPHeaderField: "Content-Type")
    request.addValue("Bearer API_TOKEN", forHTTPHeaderField: "Authorization")

    let payload: [String: Any] = [
        "project": "my-project",
        "channel": "server-status",
        "event": "High Disk Usage",
        "description": "The disk usage is high ",
        "icon": "🔥",
        "notify": true
    ]

    do {
        request.httpBody = try JSONSerialization.data(withJSONObject: payload, options: [])

        let task = URLSession.shared.dataTask(with: request) { data, response, error in
            if let response = response as? HTTPURLResponse {
                if 200...299 ~= response.statusCode {
                    print("Log event sent successfully!")
                } else {
                    print("Failed to send log event. Response code:", response.statusCode)
                }
            } else if let error = error {
                print("Error sending log event:", error.localizedDescription)
            }
        }

        task.resume()
    } catch {
        print("Error serializing payload:", error.localizedDescription)
    }
}

logEvent()

With Saashound tracking your disk usage, you can:

• Receive real-time notifications if disk usage exceeds predefined thresholds.
• Set up custom alert rules to notify your team and take immediate action.
• Monitor the historical disk usage trends for better insights.
• Identify patterns and potential causes of high disk usage.

Saashound Benefits

Saashound is designed to be user-friendly and accessible to developers and teams of all sizes. Here are some key benefits of using Saashound for monitoring high disk usage in your Swift application:

• Ease of Use: Saashound offers a no-code event tracking solution that requires minimal setup and configuration.
• Flexibility: Saashound can track various performance metrics and events, making it suitable for monitoring different aspects of your application.
• Cross-Platform Support: Saashound’s cross-platform push notifications ensure that you and your team receive alerts on your preferred devices.
• Event Filtering: Customize which disk usage-related events to track and receive notifications for, focusing on the most relevant data.
• Insights and Analytics: Utilize Saashound’s charts and analytics to visualize disk usage data and gain valuable insights.

By leveraging Saashound’s high disk usage monitoring capabilities, you can take proactive measures to optimize disk usage, ensure smooth application performance, and prevent potential downtimes due to storage constraints.