Using AI to monitor your site
We use AI to analyze logs objectively and catch problems before they affect your business. Not to replace human judgment, but to extend it.
WordPress generates a constant stream of data. Server logs, error logs, access patterns, performance metrics, security events. A human reviewing these manually would miss patterns. A simple automated system would generate noise. We needed something smarter.
The challenge with log monitoring is not collecting data. Any hosting provider can store logs. The challenge is understanding what matters. A spike in 404 errors might mean a broken link or an attack probe. A slow database query might be normal for a complex page or a sign of emerging problems. Context determines meaning.
Practical AI, not flashy AI
We are skeptical of AI hype. Most AI features in software are solutions looking for problems. We started from the opposite direction: what real problems do we have that AI could solve?
The answer was log analysis. Our engineers were spending hours correlating events across different log sources. Performance degradation in the morning, plugin update the night before, increased traffic from a specific region. These connections exist in the data but require time to find manually.
AI handles pattern recognition. Engineers handle judgment. Each does what it does best.
What the system catches
Our AI monitoring analyzes logs continuously, learning what is normal for each site and flagging deviations that warrant attention.
Performance anomalies
Page load times creeping up gradually. Database queries taking longer than baseline. Memory usage patterns that suggest a leak. Changes too subtle for threshold alerts but significant over time.
Security patterns
Login attempts that look automated. Access patterns that suggest reconnaissance. Requests to endpoints that should not exist. Behavior that indicates probing before an attack.
Plugin conflicts
Errors that appear after updates. PHP warnings that correlate with specific functionality. Patterns that suggest two plugins are interfering with each other in ways that are not immediately obvious.
Traffic anomalies
Unusual referrer patterns. Bot traffic pretending to be real users. Geographic shifts that might indicate a campaign working or a problem emerging. Early signals before they become visible issues.
The human layer
AI surfaces patterns. Humans decide what to do about them. Every flag from our system goes to an engineer who understands the context. They know your business, your traffic patterns, your recent changes. They determine whether a pattern is concerning or expected.
This is the analog approach to AI. Technology that amplifies human capability rather than replacing human judgment. The AI sees what a human might miss. The human understands what the AI cannot.
The result is monitoring that catches problems earlier without drowning you in false alarms. Issues resolved before you notice them. Optimization opportunities identified from patterns in your data. The benefits of AI without the downsides of removing humans from the loop.
Your website generates signals constantly. We use AI to listen to all of them and surface what matters. Then engineers who care decide what to do. That is the analog way.
Ready for intelligent monitoring that works?
Start your migration