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YouTube

Dynatrace Can Do THAT With OpenTelemetry - The Dynatrace MCP Server

Dynatrace via YouTube

Overview

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Explore the integration between Dynatrace and OpenTelemetry through the Dynatrace Model Context Protocol (MCP) server in this comprehensive 36-minute tutorial. Learn how to leverage the MCP server to query OpenTelemetry data stored in Dynatrace using natural language interactions through GitHub Copilot Chat. Begin with an overview of MCP and the Dynatrace MCP server, then dive into hands-on demonstrations showing how to send data to Dynatrace using the OpenTelemetry Demo application. Master the configuration process by creating and setting up the mcp.json file, configuring environment variables, creating OAuth clients, and generating Dynatrace API tokens. Discover practical techniques for interacting with Dynatrace data through the MCP server, including listing unique service names, examining spans per service, and analyzing logs associated with specific service spans. Develop troubleshooting skills for handling prompts and learn to calculate metrics like average response times for services. Gain valuable insights into how Dynatrace's observability platform can be enhanced through OpenTelemetry integration and natural language querying capabilities.

Syllabus

00:00 Introduction
01:18 MCP overview
02:20 The Dynatrace MCP Server
02:38 Demo
02:47 GitHub Copilot Chat overview
05:48 Create and configure mcp.json
08:46 Configure environment variables for Dynatrace MCP server
10:22 Create an OAuth client
16:11 Create Dynatrace API token
22:19 Interacting with Dynatrace via the MCP server
24:38 List names of unique services in Dynatrace
25:34 List spans per service
26:06 List logs associated with a span of a given service
28:55 Troubleshooting a prompt
33:45 Find the average response time for a service
35:38 Wrap up

Taught by

Dynatrace

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