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GitHub Copilot

GitHub Copilot

Accelerate code-level error-resolution with real-time production insights.

Technology
Free trialDocumentation
Access GitHub Copilot directly within your IDE and instantly get production insights, like incident and vulnerability context information.The Dynatrace MCP Server enables 3rd party AI agents to access Dynatrace data and toolsQuery data stored in Grail in real-time by using tools such as GitHub Copilot.
  • Product information

Overview

Dynatrace’s Agentic AI integrations with GitHub CoPilot transform development workflows by embedding real-time observability, security insights, and automated remediation directly into the coding environment to suggest precise error repairs, generate tests automatically, auto-collect information to fix vulnerabilities, and recommend optimizations based on real production insights.

This allows:

  • Faster triaging and debugging with full production context.
  • Reduced cognitive load and context switching.
  • Lower LLM token usage and cost via precise, scoped queries.
  • Improved developer experience with natural language interactions.
  • Security and performance optimization during development.

Use cases

  • Root cause analysis in IDE: Prompt “Why are we seeing more HTTP 500s?” and let Dynatrace MCP returns logs, traces, and remediation suggestions.
  • Kubernetes resource optimization: Prompt “Optimize memory for my K8s deployment.” and let Dynatrace MCP suggests config changes based on real usage.
  • Security vulnerability detection: Prompt “Investigate SQL injection vulnerability.” and let Dynatrace MCP lists issues and proposes code fixes.
  • Enables code fixes, test generation, and vulnerability detection.
  • Trigger Dynatrace workflows.

Details

The native GitHub CoPilot and Dynatrace MCP integration provides benefits such as:

  • Context-rich prompts reduce token usage.
  • Enables code fixes, test generation, and vulnerability detection.
  • GitHub Actions can trigger Dynatrace workflows.
  • Supports structured workflows and debugging.
  • Ideal for enterprise-grade development environments.
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