Build Cloud Native Apps Reactor Series

6:00 CH - 7:00 CH (UTC)

Most modernization projects don't stall because of technology. They stall because real-world applications depend on things that are difficult to rebuild: custom software, legacy dependencies, specialized configurations, and years of accumulated business logic. In this session, we'll examine how to modernize existing applications with less disruption, reduce migration risk, and prepare workloads for the next generation of AI-powered experiences. Modernization isn't the finish line—it's what makes AI possible.

6:00 CH - 7:00 CH (UTC)

Modern applications are API-driven and managing those APIs is critical for scale, security, and governance. In this episode, you’ll learn how to: - Publish and secure APIs across your applications - Apply policies for authentication, throttling, and governance - Manage internal and external API consumption - Create a unified API layer across ACA, AKS, and App Service App Service documentation

6:00 CH - 7:30 CH (UTC)

Building AI applications means running demanding workloads on the right hardware, at scale, without adding operational drag. This session covers what's new in AKS for teams building and running AI apps and agents, and how the latest capabilities help you get more out of your infrastructure while keeping day-to-day operations manageable. You'll learn how to: - Run AI and data-intensive workloads across a wider range of accelerators, with better visibility into how they perform and where you can tune them - Scale multi-service and agentic applications across clusters and fleets, with more efficient access to the compute you need - Automate upgrades, rollouts, and configuration across your estate with more control and less risk - Connect AKS to the broader Azure AI stack to move from model to production faster, with identity and security built in Whether you run a single cluster or a large fleet, you'll leave with a clear picture of where AKS is headed for AI workloads and how to put these new capabilities to work.

8:00 CH - 9:00 CH (UTC)

AI agents need to run code, call APIs, and fan out in parallel - but doing that safely at scale is hard. This session shows how to build agentic workloads on hardware-isolated, sub-second, disposable compute that agents can provision themselves. Watch a live research-agent swarm spin up a fleet of secure sandboxes in parallel, run real work in true isolation, and tear it down automatically - with keyless auth throughout. Powered by Azure Container Apps Sandboxes. You'll learn • Why untrusted agent code and multi-agent fan-out break traditional container/VM approaches • The pattern for safe, ephemeral, per-agent compute: isolation, instant start, scale-to-zero, snapshot/resume • How agents can self-provision compute as a tool to extend their own capabilities • Controlling blast radius with hardware isolation, egress policies, and keyless managed identity • A working orchestration pattern for parallel agent swarms you can adapt to your own workloads

6:00 CH - 7:00 CH (UTC)

The last session showed how agent swarms can run safely on disposable, hardware-isolated compute. This second session covers building the custom sandboxes that those agents need. See how to package your own runtimes, dependencies, and tools as a custom container, expose it through Azure Container Apps Sandboxes, and operate it as a fast, isolated execution service. Watch a custom engine move from container image to a managed session pool that agents can invoke on demand. You'll learn • When to choose a custom sandbox • How to package specialized runtimes, libraries, binaries, and tools • Configuring prewarmed capacity, lifecycle policies, health probes, and automatic cleanup • Securing execution with isolation, network controls, managed identity, and tenant-aware session identifiers • Monitoring engine health, capacity, lifecycle events, and application output with Azure Monitor