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dtctl Deep Dive - Browse, Query, and Automate Dynatrace via CLI

Dynatrace via YouTube

Overview

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Explore dtctl, the open-source command-line interface designed to enable humans and AI agents to browse, query, edit, and fully automate Dynatrace configurations in this 20-minute community session. Learn how to install and authenticate dtctl, then discover its capabilities for managing Dynatrace resources including dashboards, workflows, settings, notebooks, and DQL queries directly from the command line. Watch live demonstrations showing how to browse and edit Dynatrace objects via CLI, execute DQL queries, and automate complete workflow lifecycles from update through execution to debugging and closed-loop testing. Understand how AI coding agents can leverage dtctl to generate, fix, and evolve configurations automatically. The session covers practical use cases including AI-driven workflow enhancement, debugging techniques using describe and logs commands, and reviewing changes through diff functionality. Discover dtctl's broader applications beyond workflows, including management of apps, functions, and pipelines, while learning about the tool's kubectl-inspired design philosophy that combines simple CLI commands with powerful automation capabilities.

Syllabus

– Welcome to Community Tips & Tricks
– Why dtctl? Solving Automation + AI Pain Points
– What is dtctl and What Can It Manage?
– Inspired by kubectl: Simple CLI, Big Power
– Live Demo: Exploring Dashboards via CLI
– Edit-in-Place Demo: Updating a Dashboard
– Running DQL Queries from the CLI
– dtctl Help: What Else Can It Do?
– Real Use Case: AI‑Driven Workflow Enhancement
– AI Generates a Smarter Workflow
– Applying and Executing Workflows Automatically
– Debugging with dtctl: Describe & Logs
– Reviewing AI Changes via Diff
– Final Workflow: Full Pod + Toleration Report
– dtctl Beyond Workflows: Apps, Functions, Pipelines
– Quick Start Guide & Call for Contributions
– Closing Remarks

Taught by

Dynatrace

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