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Learn how to build a Model Context Protocol (MCP) server using Heroku and Amazon Q! Join Julián Duque, Principal Developer Advocate at Heroku, as he demonstrates how to create an AI-powered game rankings system. #AWS #Heroku #AI Try out Amazon Q Developer 👉 https://go.aws/3UKeshz Resources: ⚡️Heroku Dashboard: https://go.aws/45D6zAP 📝 MCP TypeScript SDK: https://go.aws/3HWN7pr 💻 Amazon Q: https://go.aws/45D6AET ⚙️ Heroku Redis: https://go.aws/4lTB1LL Follow AWS Developers!

Showcase how the Network Flow Monitor feature of Amazon CloudWatch can help organizations quickly identify and resolve network performance issues. Specifically, the key things we want people to think or feel after engaging with this content are: Understand the practical value and capabilities of NFM in addressing real-world network performance challenges faced by cloud-based applications and workloads.

Transform your edge computing strategy with machine learning! In this video, I demonstrate how AWS IoT Greengrass enables you to run powerful ML inference directly on edge devices—reducing latency, ensuring operational continuity, and dramatically cutting bandwidth costs.

In this episode we'll dive into network observability tools on AWS and how you can build observability dashboards using VPC Flow Logs, Network Firewall logs, CloudWatch contributor insights and AI agents. We review how you can leverage these tools to gain deeper insights into you network connectivity on AWS, and understand application dependencies.

Discover how startups can benefit from adopting or creating Small Language Models and the role they have in enabling agentic AI. Learn from world-class experts Julien Simon, Chief Evangelist at Arcee, and Nicolas David, Sr. Startup Architect at AWS

2025 marks the 10-year anniversary of the AWS Well-Architected Framework, Cloud Adoption Framework, and AWS Cloud Operating Model. Learn how these foundational frameworks evolved through customer feedback and real-world learnings from thousands of organizations. What began as structured guidance has matured into dynamic insights for optimizing cloud environments. Discover how this continuous feedback drives innovation across architecture reviews, operations, and remediation.

Today's SaaS applications are interconnected: they expose APIs, publish events, call third-party services, and externalize states. Adding multi-tenancy to these integrations introduces new challenges. How do builders ensure tenant performance and data isolation whilst sharing resources? In this session, learn about common design trade-offs for multi-tenant integrations and how to navigate them with design patterns, illustrated by examples. Learn more: More AWS events: https://go.

What if your databases could help identify and diagnose problems before they impact production? This session demonstrates how to implement AI agents that monitor and analyze AWS database services, including Amazon RDS, Amazon Aurora, and Amazon Redshift. The presentation covers building intelligent agents that detect performance bottlenecks, surface query pattern issues, and suggest optimization strategies.

Clearwater Analytics, a software-as-a-service FinTech company, needed to reduce ticket resolution times and improve client servicing efficiency. The company built 700+ AI agents using Amazon Bedrock, including an agent called Nikki that helps clients classify principal bonds by leveraging knowledge bases curated from NAIC, client data, and subject matter experts. Hear how from Bharat Mabbu, general manager at Clearwater Analytics.

In this video we will explain at a high level the AWS IoT Stack and focus on the IoT Connect and Manage Category diving into AWS IoT Core. We will cover What is AWS IoT Core, what are the key components, connection methods, and integration with other AWS services. This is explained using a video surveillance example. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.

We'll explore how architects maintain their essential function - guiding technical architectures to solve business needs - while adapting to new tools, techniques, and intelligence-embedded architectures. The conversation addresses a fundamental redesign of the architect role. Join us as we examine augmenting architects with generative capabilities - and augmenting architectures with generative technologies. What does this mean for architectures and what does it mean for architects?

Learn how Amazon SageMaker AI transforms model development with a unified environment for all your AI workloads - from interactive model development on IDEs to maximizing task and compute resource utilization across training and inference workloads. We'll demonstrate how to use SageMaker Studio as the familiar IDE to develop, submit, and monitor ML jobs, while leveraging the scalability and resiliency of HyperPod environment for computationally intensive tasks like training and deploying large...