Application Performance Monitoring

AI-powered automated monitoring of application performance

Using artificial intelligence to monitor, analyze and optimize application performance automates the tracking, analysis and optimization of application performance. From automated monitoring to root cause analysis, from performance optimisation to user experience – AI can significantly improve application performance.

What is it: Resource Utilization

Metrics: CPU, memory, database

AI role: Automated monitoring

live demo · related simulation● LIVE

Result: Reduced Errors

What is it: User Experience

Metrics: RUM, session replay

Frequently asked questions

What does AI-powered automated monitoring of application performance involve?

AI-powered automated monitoring of application performance involves using artificial intelligence to track, analyze and optimize application performance. From automated monitoring to root cause analysis, from performance optimisation to user experience – AI can significantly improve application performance.

Which metrics should be tracked?

Key metrics to monitor include response time (API calls, page load times), resource usage (CPU and memory consumption), error rates (exceptions and failures), and user experience data (RUM and session replay).

How can performance issues be identified?

Performance issues can be identified through automated monitoring that analyzes metrics like response times, resource utilization, and error rates to pinpoint the root cause of problems.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation