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MCP

Dynatrace Assist: Ask, analyze, and act with Dynatrace Intelligence

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Announcing agentic framework support and General Availability of the Dynatrace AI Observability app

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Fuel Bedrock agents with observability data via the Dynatrace MCP Server

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Dynatrace agentic ecosystem: Drive real outcomes, not AI pilots

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Dynatrace MCP Server: Empower your AI assistants to interact with Dynatrace and access live production insights

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Integration with AWS DevOps Agent: Autonomous investigations powered by production context

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When your service won’t wait: Troubleshooting EasyTrade with Dynatrace MCP and Gemini CLI

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Real-time insights: Leverage Dynatrace observability capabilities within Kiro powered by AWS

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Boost cloud reliability: Dynatrace and Azure SRE Agent unite for autonomous operations

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AWS publishes Dynatrace-developed blueprint for secure Amazon Bedrock access at scale

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From code to cloud: Dynatrace launches first GitHub custom agent, consolidating observability for developers

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Announcing Amazon Bedrock AgentCore Agent Observability

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Hands-free vulnerability remediation with Dynatrace and GitHub Copilot

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Dynatrace and Atlassian deliver agentic AI that transforms end-to-end incident management

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Sky-high developer productivity with Dynatrace MCP and GitHub Copilot

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The rise of agentic AI part 6: Introducing AI Model Versioning and A/B testing for smarter LLM services

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Enhance your development workflow with the Amazon Q Developer CLI for Dynatrace MCP

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The rise of agentic AI part 2: Scaling MCP best practices for seamless developers’ experience in the IDE with Cline

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The rise of agentic AI part 1: Understanding MCP, A2A, and the future of automation

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