Home / Companies / Dynatrace / Blog / Post Details
Content Deep Dive

Identify issues immediately with actionable metrics and context in the Dynatrace Problem view

Blog post from Dynatrace

Post Details
Company
Date Published
Author
Dripto Sinha
Word Count
989
Language
American English
Hacker News Points
-
Summary

Dynatrace has enhanced its application problem analysis capabilities, enabling Infrastructure and Operations (I&O) teams to identify and prioritize issues like crashes and errors more effectively. These improvements provide enriched context that not only identifies what the issues are but also explains why they occur, allowing DevOps teams to take informed corrective actions based on AI-driven insights. The core of this enhancement is Davis, Dynatrace's AI engine, which prioritizes performance anomalies by their impact on real users and business KPIs, offering instant analysis without requiring configuration. As a result, I&O teams can resolve issues more efficiently, reducing meantime to resolution (MTTR). The enhancements include improved problem details, clear impact analysis showing the affected user ratio, and enriched root cause analysis, which now links to custom events and manual thresholds. These updates aim to streamline the troubleshooting process, facilitate data-driven decision-making, and ultimately enhance the user experience across mobile, web, IoT, and API platforms.