You know AKS—but environment variables, secrets, and ingress controllers still feel like dev-speak? This demo-heavy session unpacks cloud-native development from an IT/Ops lens. Learn how app design impacts operations, what Day 2 AKS management really looks like, and how to confidently architect alongside your developer peers.

Managing modern Kubernetes environments requires you to act as soon as events take place. In this session, see how open source projects Drasi, Inspektor Gadget, and Headlamp simplify monitoring and management of Azure Kubernetes Service (AKS) clusters. Learn how to surface live state changes, deep runtime insights and leverage an intuitive management interface. Demonstrated on Azure Kubernetes Service (AKS) and applicable to any Kubernetes setup, this session shows how to bring a universal, cloud-agnostic approach to your cluster monitoring and management.

Build confidence in managing AKS at scale with next‑gen ops tools. In this hands‑on lab, you’ll simulate a production service hit by traffic spikes, discover how AI‑driven alerts surface hidden bottlenecks, and deploy agents that self‑heal nodes. Using open‑source tools and the aks‑mcp server, you can automate cluster scaling, patch management, and real‑time troubleshooting—letting the AI orchestrate Kubernetes and Azure resources with natural‑language commands and pre‑built MCP integrations.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Deploying AI workloads on Kubernetes is now a necessity. But when those workloads are stateful, the complexity multiplies. We’ll dive into the real-world journey of going from zero to production with AI on K8s, focusing on managing stateful services. We'll unpack architectural patterns, storage strategies, and challenges when running persistent, data-heavy AI workloads in a cloud-native environment. Join us to share learnings and hear how others are navigating the stateful side of AI on K8s.

Connection Pods accommodate up to 15 people. Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

As Kubernetes and AI adoption grow, managing your clusters at scale becomes a strategic imperative. We'll share practical lessons from operating large clusters with AKS, including how to keep things reliable, efficient & secure. Learn about tools like Azure Kubernetes Fleet Manager, smart scheduling for AI, and ways to simplify multi-cluster ops. Whether you are scaling to thousands of nodes or fine-tuning for performance, you'll leave with practical tips to improve cluster ops.

Learn practical strategies from Sam’s Club for modernizing mission-critical apps to Azure. Dive into technical strategies, get hands-on guidance to implement key resilience patterns and how to operationalize them in Azure Kubernetes Service (AKS), Azure SQL, Cosmos DB, and other critical Azure services. By the end of this session, developers and cloud practitioners will walk away with tools to modernize legacy monolithic apps for resilience, performance, and scale in Azure.

To meet growing customer demand for faster, more intuitive troubleshooting of Azure Kubernetes Service (AKS) networking, Azure supports deep pod level metrics, logs and visualization for AKS clusters which enables users to understand their network architecture. This session introduces how advanced container networking services with Hubble enhances AKS troubleshooting workflows, helping teams identify and resolve issues efficiently. Attendees will learn how to leverage these capabilities to streamline diagnostics, reduce operational overhead, and improve the overall reliability of their AKS deployments.

Connection Pods accommodate up to 15 people. Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Trusted by nearly half of Fortune 100 companies, Nasdaq Boardvantage powers secure, intelligent board operations. In this deep dive session, explore how Azure Database for PostgreSQL and MySQL, Microsoft Foundry, Azure Kubernetes Service (AKS), and API Management create a resilient architecture that safeguards confidential data while unlocking new agentic AI capabilities.

This hands-on workshop teaches how to build and deploy intelligent AI agents for enterprise research using AI-Q NVIDIA Blueprint and NVIDIA Nemotron on Azure Kubernetes Service (AKS). Learn to leverage AI reasoning, multimodal data extraction, and retrieval-augmented generation to uncover actionable insights from enterprise data. Ideal for developers aiming to accelerate AI-driven knowledge discovery and decision-making.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Azure Linux Container Host is an operating system image that's optimized for running container workloads on Azure Kubernetes Service (AKS). Learn how it improves performance, simplifies node lifecycle management, and enables innovations like pod sandboxing and OS Guard. See how customers use Azure Linux for workload isolation and hardened security with features like Integrity Policy Enforcement, SELinux, and dm-verity—helping enterprises modernize and scale with confidence.

Kubernetes unlocks powerful capabilities for modern apps—but can be complex. AKS Automatic changes this. In this session, we’ll introduce AKS Automatic and how it helps accelerate cloud-native adoption without the operational overhead. Whether you're modernizing or building new apps, AKS Automatic offers a streamlined path forward, delivering production-ready clusters out of the box, automating infrastructure operations, and embedding best practices for security, scalability, and performance.

Learn to deploy Enterprise-grade Retrieval-Augmented Generation (RAG) agents using NVIDIA Nemotron and NIM microservices on Azure Kubernetes Service (AKS). This hands-on lab walks you through building scalable, GPU-accelerated AI pipelines powered by Azure and NVIDIA AI Enterprise.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

As LLMs grow, efficient inference requires multi-node execution—introducing challenges in orchestration, scheduling, and low-latency GPU-to-GPU data transfers. Hardware like the GB200 NVL72 delivers massive scale-up compute, but truly scalable inference also depends on advanced software. Explore how open-source frameworks like NVIDIA Dynamo, combined with Azure’s AKS managed Kubernetes service, unlock new levels of performance and cost-efficiency.

Build confidence in managing AKS at scale with next‑gen ops tools. In this hands‑on lab, you’ll simulate a production service hit by traffic spikes, discover how AI‑driven alerts surface hidden bottlenecks, and deploy agents that self‑heal nodes. Using open‑source tools and the aks‑mcp server, you can automate cluster scaling, patch management, and real‑time troubleshooting—letting the AI orchestrate Kubernetes and Azure resources with natural‑language commands and pre‑built MCP integrations.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Cloud-native architectures are transforming app development, and Azure’s infrastructure drives this evolution. This session dives into services that help develop and deploy resilient, scalable cloud-native solutions—with real customer insights and field-tested guidance. Learn how VMSS handles stateless workloads, Azure Storage and Container Networking optimize performance and cost, and how Kubernetes and other OSS thrive on Azure with enterprise-grade reliability.

Delivered in a silent stage breakout.

See how GitHub Copilot streamlines app modernization for .NET and Java—using AI to assist upgrades, then containerize and deploy to AKS Automatic with ease. Accelerate development and reduce complexity with intelligent guidance.

Engage in a deep technical discussion on how to achieve scale and performance for your application deployed in Azure Kubernetes Service (AKS) through a combination of architectural best practices, modern networking features, and premium SKUs.

This demo showcases Finout’s ability to manage and optimize cloud spend across Azure and services like Kubernetes, Datadog, and OpenAI. It highlights Finout’s unified “MegaBill” view for exploring Azure resources, subscriptions, and tags. The session introduces Virtual Tags for dynamic, rules-based cost allocation and covers shared cost distribution, dashboards, anomaly detection, and alerting—empowering teams to improve Azure cost efficiency.

Build confidence in managing AKS at scale with next‑gen ops tools. In this hands‑on lab, you’ll simulate a production service hit by traffic spikes, discover how AI‑driven alerts surface hidden bottlenecks, and deploy agents that self‑heal nodes. Using open‑source tools and the aks‑mcp server, you can automate cluster scaling, patch management, and real‑time troubleshooting—letting the AI orchestrate Kubernetes and Azure resources with natural‑language commands and pre‑built MCP integrations.

This session explores how Azure Local brings hybrid agility to your infrastructure by combining cloud-native management with the flexibility to run services such as Azure Virtual Desktop and Azure Kubernetes Service on-premises.

We’ll spotlight DataON PLUS solutions, which go beyond the standard Microsoft solution requirements to provide a more complete experience that includes a turnkey Azure Local solution and also deployment, integration, hybrid implementation & lifecycle training service.