What Dynatrace and Microsoft are bringing to the AI era at Microsoft Ignite 2026

AI is transforming not just what you build, but how you build, deploy, and keep systems running.

As a developer, you’re writing code alongside AI assistants in your IDE. As an engineer, you’re pushing complex AI apps and agents into production. And as an operations professional, you’re leaning on AI agents to help make sense of sprawling cloud environments and act faster when things break.

If you’re building and operating on Microsoft Azure, this shifts your biggest daily challenge: How do you bring trusted context into the tools, AI systems, and workflows you rely on to make decisions?

At Microsoft Ignite 2026, we’ll show how we’re bringing Dynatrace Intelligence and full stack observability into the Microsoft ecosystem to help you build AI with context, deliver trustworthy AI at enterprise scale, and move toward autonomous cloud operations.

Bring observability to where your work

If you’re using AI coding assistants, you need runtime context right in your editor. If you’re taking AI applications from sandbox to production, you need visibility into request, execution, token usage, and cost. If you run SRE or complex cloud and platform operations, you need accurate data to drive automated action without second-guessing.

The opportunity for Dynatrace and Microsoft customers is to connect these experiences. Our work together focuses on bringing Dynatrace observability context into Microsoft workflows, while natively ingesting telemetry from your Azure environments into Dynatrace for deep, unified analysis.

Here is how that comes to life across three core areas:

Three opportunities, one connected Azure experience. The common thread is context. AI can generate an answer, but Dynatrace and Microsoft gives you and your AI tools the context needed to act with confidence.

Build AI with context using Model Context Protocol

Through the Dynatrace Model Context Protocol (MCP) server, Dynatrace natively connects causal observability metrics and runtime insights directly to external AI agents – including GitHub Copilot in Visual Studio Code.

Instead of context-switching to a separate browser tab or dashboard when debugging, you can query runtime topology, live dependencies, and performance metrics right within your IDE using natural language.

Deliver trustworthy AI at scale with Azure AI Foundry and OpenTelemetry

Dynatrace extends OpenTelemetry (OTel) and OpenInference instrumentation to applications builtd on Azure AI Foundry. By capturing standardized traces, prompt execution signals, token usage, latency, and cost metrics, Dynatrace AI observability gives you complete clarity across your entire AI stack.

You get the context needed to examine application behavior alongside your broader Azure environment – eliminating blind spots as you take AI applications live.

Move toward autonomous cloud operations

By pairing Dynatrace contextual observability with the Dynatrace Clouds App and the Azure SRE Agent, you bridge the gap between AI-assisted site reliability and automated remediation. Powered by contextual AI from Dynatrace’s Intelligence, the Azure SRE agent leverages real-time dependency graphs to evaluate complex operational issues across Azure services, apps, and infrastructure

This helps you pinpoint root causes faster and automate repetitive operational work.

See it in action at Microsoft Ignite 2026

We’re bringing this story to Microsoft Ignite, November 17–20, 2026, at Moscone Center in San Francisco. Visit Dynatrace booth #5356R: We can show you live demos of our MCP server and Azure SRE Agent integrations.

Join our session: Dynatrace + Azure: intelligent SRE for autonomous cloud ops.

We’ll talk about:

• The Dynatrace Clouds app for visibility powered by AI across your Azure environment
• Azure SRE Agent for AI-assisted incident investigation and resolution
• Dynatrace MCP integration with Microsoft Copilot for bringing observability into AI-assisted workflows

Register here.

And, yes, while you’re at the booth, you can enter for a chance to win a pair of custom Nike sneakers!

Not coming to San Francisco?

The conversation doesn’t end at Ignite. On December 10, we’re hosting a virtual Lunch and Learn “Boosting observability on Microsoft Azure with Dynatrace” focused on practical ways Dynatrace and Microsoft can support modern Azure operations.

Whether you work in cloud operations, application performance, SRE, or platform engineering, we’ll explore ways to bring greater context to your Microsoft Azure environment.

Register for the Lunch & Learn

What’s next for Dynatrace and Microsoft

Our work with Microsoft is focused on a practical question: How can we give customers the context they need to build, run, and operate AI and cloud applications with confidence?

We’re building toward an environment where observability context is available wherever teams and AI systems need it. That includes bringing observability into AI-assisted workflows with MCP, observing Azure AI Foundry applications with OpenTelemetry, and exploring more autonomous approaches to cloud operations.