Which types of incidents can Dynatrace's AI help to resolve proactively?

Dynatrace's AI is designed to analyze vast amounts of performance data and event logs in real-time to detect patterns and anomalies that may indicate issues within applications and services. This proactive approach is particularly effective in identifying service downtimes and increased failure rates because it can detect deviations from expected performance metrics and user experience before they escalate into more significant problems.

When a service experiences higher-than-normal failure rates or downtime, Dynatrace can automatically trigger alerts and provide insights into the root causes. This proactive monitoring allows teams to address these incidents promptly, minimizing the impact on users and improving overall system reliability. The AI-driven capabilities of Dynatrace are focused on application performance management, making it adept at recognizing issues related to service availability and user experience.

On the other hand, hard disk failures, network outages, and database corruptions may fall outside the direct scope of application performance monitoring where Dynatrace excels. While Dynatrace can provide insights that may correlate with these types of hardware or infrastructure-related issues, its primary strength is in monitoring applications and services, which is why it is particularly suited to identify and resolve incidents related to service downtimes and increased failure rates.