dynatrace-observability

name	dynatrace_observability
description	Query Dynatrace observability data including logs, metrics, problems, and vulnerabilities using DQL

Dynatrace Observability Skill

You have access to the Dynatrace MCP server tools for querying observability data from Dynatrace environments.

Available Tools

Tool	Purpose
Create DQL query	Generate DQL queries from natural language descriptions
Explain DQL query	Get plain English explanations of existing DQL queries
Ask Dynatrace	Ask general questions about Dynatrace workflows, alerts, and configuration
Run DQL query	Execute DQL queries and return results (up to 1000 records)
Query problems	List active or closed Davis Problems with filtering
Get problem by ID	Get detailed problem information including root cause
Get vulnerabilities	List open security vulnerabilities by risk level
Get K8s cluster events	Get Kubernetes events for cluster troubleshooting
Timeseries forecast	Predict future metric values using statistical models

Workflow

1. Understand the request — Determine what observability data the user needs
2. Use the right tool — Select the appropriate Dynatrace tool for the task
3. Query with DQL — Use "Create DQL query" for natural language to DQL conversion, then "Run DQL query" to execute
4. Investigate problems — Use "Query problems" to list issues, then "Get problem by ID" for details
5. Analyze results — Summarize findings with actionable recommendations

Best Practices

• Start with smaller timeframes (last 1h or 12h) to optimize query performance
• Use "Create DQL query" to generate queries from natural language before running them
• When investigating problems, correlate with related logs and events using DQL
• For security reviews, check vulnerabilities by risk level (CRITICAL, HIGH, MEDIUM, LOW)
• Always explain the data returned and suggest next steps