AI-powered analytics and predictive monitoring
Your website example.com shows a 35% increase in response time during peak hours (14:00-16:00). Consider optimizing database queries or increasing server resources during this window.
Response times have been steadily increasing over the past week, particularly during business hours.
Anomaly detected on July 15th at 10:45 AM. Unusual spike in server CPU usage.
Optimize database queries
Detected slow queries during peak hours that could be optimized.
Enable SSL caching
SSL handshake times could be reduced by implementing proper caching.
Implement CDN for static assets
Static content delivery could be optimized with a CDN.
What was my website’s average uptime last month?
In the last month (June 1-30), your website example.com had an average uptime of 99.92%. This is a slight improvement from the previous month which was 99.87%. There were 2 brief outages, totaling 5 hours and 47 minutes of downtime.
When do we see the most traffic?
Based on your monitoring data, your peak traffic occurs between 2:00 PM and 4:00 PM UTC on weekdays. Wednesday shows the highest activity, with approximately 35% more requests than the daily average.
Performance Optimization
Anomaly Detection and Security
Capacity Planning
Business Intelligence
Feature | Free Plan | Pro Plan | Expert Plan |
---|---|---|---|
Basic Performance Analysis | ❌ | ✅ | ✅ |
Anomaly Detection | ❌ | ✅ | ✅ |
Predictive Monitoring | ❌ | Limited | ✅ |
PulseAI Chat | ❌ | Limited | ✅ |
Advanced Recommendations | ❌ | ❌ | ✅ |
Custom AI Reporting | ❌ | ❌ | ✅ |