Monitor CPU Usage in Your Go Application

Monitoring the CPU usage of your Go application is essential to ensure optimal performance and efficient resource utilization. High CPU usage can lead to application slowdowns, unresponsiveness, and potential server crashes. By keeping a close eye on CPU metrics, you can proactively identify performance bottlenecks, optimize code, and provide a smooth user experience.

Saashound, a powerful real-time event tracking tool, offers seamless CPU monitoring for your Go application. By integrating Saashound directly into your application or server, you can effortlessly track CPU usage in real-time and receive insightful data to make informed decisions.

Connecting Saashound to Your Go Application

To begin monitoring CPU usage in your Go 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.

Go Integration

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

Using net/http
package main
import (
"bytes"
"encoding/json"
"fmt"
"net/http"
)
func logEvent() {
apiURL := "https://api.saashound.co/log-event"
payload := map[string]interface{}{
"project": "my-project",
"channel": "server-status",
"event": "High CPU Usage",
"description": "CPU for my-second-project has been over 95% for 1 Hour!.",
"icon": "🔥",
"notify": true
}
payloadBytes, err := json.Marshal(payload)
if err != nil {
fmt.Println("Error marshaling payload:", err)
return
}
req, err := http.NewRequest("POST", apiURL, bytes.NewReader(payloadBytes))
if err != nil {
fmt.Println("Error creating request:", err)
return
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer API_TOKEN")
client := http.DefaultClient
resp, err := client.Do(req)
if err != nil {
fmt.Println("Error sending request:", err)
return
}
defer resp.Body.Close()
if resp.StatusCode >= 200 && resp.StatusCode < 300 {
fmt.Println("Log event sent successfully!")
} else {
fmt.Println("Failed to send log event. Response code:", resp.StatusCode)
}
}
func main() {
logEvent()
}

With Saashound tracking your CPU usage, you can:

  • Receive real-time notifications if CPU usage exceeds predefined thresholds.
  • Analyze historical CPU usage trends to identify patterns and potential performance issues.
  • Set up custom alerts and triggers to notify your team when CPU usage spikes occur.
  • Optimize application performance by fine-tuning resource-intensive code segments.

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 CPU monitoring in your Go 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 CPU-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 CPU usage data and gain valuable insights.

By leveraging Saashound’s CPU monitoring capabilities, you can maintain an efficient and responsive Go application, ensuring a positive user experience and optimized resource utilization.

Other use-cases for SaasHound

  1. Monitor API Authorization and Access Control in your Go Application
  2. Monitor API Response Times in your Go Application
  3. Monitor CPU and Memory Usage of External Services Accessed by your Go Application
  4. Monitor when a Database Goes Down in your Go Application
  5. Monitor Database Query Performance in your Go Application
  6. Monitor High Disk Usage in Your Go Application
  7. Monitor when a user changes their email address in your Go application
  8. Monitor failed logins in your Go application
  9. Monitor failed payments for your Go application
  10. Monitor memory usage in your Go application
  11. Monitor MySQL downtime in your Go application
  12. Monitor when a new feature is used in your Go application
  13. Monitor your Postgres downtime in your Go application
  14. Monitor Redis downtime in your Go application
  15. Monitor Server Health and Uptime in your Go Application
  16. Monitor suspicious activity in your Go application
  17. Monitor when a user is being rate limited in your Go application
  18. Monitor when a user exceeds the usage limit for your Go service
  19. Get a notification when your Go code is done executing
  20. Send push notifications to your phone or desktop using Go
  21. Track A/B Testing and Feature Rollouts in your Go Application
  22. Track canceled subscriptions in your Go application
  23. Track Cron Jobs in Go
  24. Track when a file is uploaded to your Go application
  25. Track when a form is submitted to your Go application
  26. Track your Go cron jobs
  27. Track payment events via Go
  28. Track User Engagement Metrics in your Go Application
  29. Track user sign in events in Go
  30. Track user signup events via Go
  31. Track waitlist signup events via Go