What problem does it solve? Investigating Dynatrace-detected problems manually is slow and error-prone, especially when writing DQL queries with correct field names, status values, and deduplication filters. This Skill provides ready-to-use query patterns for triaging active problems, identifying root causes, and assessing business impact. ## Core Features & Use Cases - Active Problem Triage: List and prioritize currently active problems by category, affected users, and blast radius using dt.davis.problems queries. - Root Cause Investigation: Identify root cause entities, recurring offenders, and infrastructure-level causes with correct field names like root_cause_entity_id and event.category. - Impact & Trend Analysis: Calculate blast radius, user impact scores, problem duration trends, and correlate problems with logs, deployments, and Kubernetes entities. - Use Case: When asked "what caused problem P-12345 and who is affected", the Skill generates a DQL query filtering by display_id, returning the root cause entity name, affected services, and impacted user count. ## Quick Start Ask the AI to list all active Dynatrace problems from the last 24 hours with their root causes and affected user counts.
