Mikhail Shapirov

Deploying enterprise AI requires a unified framework across four governance pillars: Safety, Security, Risk, and Trust. Demystify multi-layer vulnerabilities spanning base models, agentic harnesses, and tool usage, addressing threats like Mythos model risks.

Your Amazon ECS deployment just failed: new tasks will not launch, traffic is not shifting, and your team needs to ship an update now. In this code talk, we live-troubleshoot real failures step by step, showing how to diagnose the root cause, recover the service, and build guardrails that prevent repeat failures.

As containerized workloads grow in complexity, traditional observability approaches struggle to keep pace. Discover how generative AI transforms Amazon ECS workload observability by turning overwhelming data into actionable insights.

AWS Partners learn how generative AI and Amazon Q Developer can accelerate their customer modernization initiatives. This chalk talk explores how Q Developer's code transformation, replatforming, and rearchitecture capabilities, combined with generative AI, streamline the modernization journey.

This workshop covers an integrated set of technologies, frameworks, and approaches to walk customers and partners through their modernization journey in on-premises, hybrid, and cloud environments.

In this builders’ session, explore how to both secure and observe your .NET containerized workloads running on Amazon ECS on AWS Fargate. Using the AWS CDK, learn how to protect .NET APIs against common web exploits that may affect availability, compromise security, or consume excessive resources using AWS WAF.

EKSworkshop.com is one of the primary mechanisms AWS uses to educate both AWS Partners and customers about the features of Amazon EKS. The intent is to provide AWS Partners and customers with hands-on experience building, deploying, and running applications using Amazon EKS.

This session is open to anyone, but it is intended for current and potential AWS Partners. Enterprises are moving rapidly to containers, and Kubernetes is becoming the de facto platform of choice, providing benefits such as auto scaling, self-healing, a standardized API model, extensibility, and a declarative deployment style.