Microsoft Reactor San Francisco

Join us for an interactive Q&A on Data Engineering in Microsoft Fabric. The Data Engineering team is behind the Spark runtime, notebook and Lakehouse experiences in Fabric—helping you transform, process, and manage data at scale with tools designed to boost both performance and productivity.

We’re here to answer your questions about:

• Apache Spark in Microsoft Fabric: its capabilities, performance, and features
• Best practices for building out your Lakehouse architecture
• How we’re thinking about scaling, performance tuning, and developer experiences

Building AI-powered workflows is only the first step making them secure, reliable, and scalable is where most developers run into challenges. The AI Gateway in Azure API Management provides enterprise-grade tools to expose AI workloads safely and efficiently.

In this session, you’ll learn how to manage token quotas, semantic caching, safety policies, and authentication, ensuring that your AI services perform reliably under load while staying secure. We’ll demo how to wrap AI services in API Management, apply policies for rate limiting, monitoring, and cost control, and optimize AI workload performance in production.

By the end, you’ll have practical patterns and examples for turning AI capabilities into secure, production-ready APIs that your teams can confidently consume.

The Logic Apps Community Day is a free event driven by Microsoft, for anyone who wants to learn more about Logic Apps and how it can help to solve real life integration problems.

This year, we are focusing how those integration problems can be solved with AI and Logic Apps:

• Creating Intelligent Applications with Logic Apps and AI: tell us how you have been using Logic Apps features to implement your intelligent application scenarios - from Agent Loops, to Logic Apps exposed as MCP tools, to improving your intelligent application knowledge in real time - we want to see the scenarios you created!
• Accelerating Logic Apps Developer Velocity with AI: How are you taking advantage of Gen AI to make your developer life easier using Logic Apps? From prompts to create test data, to automated creation of maps, unit test or custom code and anything in between. Maybe you have been using prompts, instructions or chat modes to make your development life easier? We want to see it all!

As organizations increasingly build and consume MCP servers, there’s a growing need for a secure, discoverable, and governed catalog of tools. In this session, we’ll show how Azure API Center can serve as a private MCP registry, making your Logic Apps connectors, Azure Functions, LangChain agents, and other MCP-compliant servers easily discoverable and reusable across your organization.

You’ll also see how MCP support in Azure API Management enables you to expose REST APIs or Logic Apps connectors as MCP servers, secure them with Microsoft Entra ID, API keys, or tokens, and apply monitoring, policies, and governance without rewriting backends. We’ll demo registering tools in API Center and bring external MCP-compliant servers under enterprise-grade control, showing how to maintain security, observability, and discoverability across both internal and external services.

By the end, you’ll know how to create, expose, and govern MCP servers in a way that empowers developers while keeping enterprise-grade control unlocking safer, reusable, and scalable AI-driven integration.