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Learn how to use agentic AI-powered AWS Transform to perform full-stack Windows modernization, including UI layer WebForms to Blazor, business logic/app layer .NET Framework to cross-platform .NET, database layer SQL Server modernization to Aurora PostgreSQL, and infrastructure layer to test & deploy transformed apps on AWS. Learn more about AWS Transform for full-stack Windows modernization: https://go.aws/3Yj1NnC Learn more about AWS events: https://go.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/opensearch-outside-vpc-nginx The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

AI agents are revolutionizing how work happens—autonomous digital teammates that plan, negotiate, and execute complex tasks without constant human oversight. From orchestrating global supply chains in real time to drafting contracts in seconds, these tireless systems are transforming manual workflows into intelligent, self-optimizing engines driving unprecedented speed and efficiency. Explore how Crew AI is transforming enterprise workflows with autonomous AI agents.

Watch Full episode: https://www.youtube.com/watch?v=3CErH6zihLc&list=PLhr1KZpdzukevIWxQPbYmL9XWyBgj9xbz Join us for an insightful conversation with Brooke Moody (AWS Retail Enterprise Account Manager) and Duncan Jessep (AWS Retail Enterprise Sales Manager) as they unpack the key highlights and innovations from NRF APAC 2025 in Singapore, bringing the best insights back home to Australian retail.

Join us for the first episode of our Data Ops Agents series where we'll guide you through building your first database operations agent from the ground up. In this hands-on session, you'll learn the fundamentals of Data Ops Agents and see a live demonstration of creating a database agent. If your looking to streamline your database operations, this session will give you the foundation you need to get started.

Arize AI leverages AWS services like Amazon Bedrock (https://go.aws/47OZkoW) to effortlessly deploy leading models and integrates closely with NVIDIA’s NeMo microservices (https://docs.nvidia.com/nemo/microservices/latest/about/index.html) for fine-tuning and scalable training. Their platform gives organizations the agility to experiment with the latest large language models, quickly switch between providers, and cut latency in production workflows.

Network Flow Monitor provides near real-time visibility into network performance, such as packet loss and latency, for traffic between Amazon EC2 instances, as well as traffic toward other AWS services, such as Amazon S3 and Amazon DynamoDB, or to the edge of another AWS Region. Network Flow Monitor receives data from lightweight software agents that you install on your instances. The agents gather performance statistics from TCP connections.

🤖 AI Model Selection Made Easy: Cisco's Amazon Bedrock Journey | How to Build Like AWS Ep. 4 Ever wondered how to pick the right AI model for your app and actually trust the answers it gives? In this episode, we sit down with the developers behind Cisco's Duo platform to hear how they built a RAG-powered chat assistant on Amazon Bedrock that helps users troubleshoot identity management issues in real time.

Explore private DNS management using Amazon Route 53. In this chalk talk, attendees will discover two key areas: Route 53 Profiles for streamlined DNS management at scale, and best practices for implementing inbound resolver endpoints through forwarding and delegation patterns. Through interactive discussion and real-world examples, participants will learn common architectural patterns and receive practical guidance for building reliable private DNS solutions.

As serverless adoption grows, teams need consistent patterns for security, observability, governance, and CI/CD to avoid duplicating efforts and architectural inconsistencies.This session explores serverless platform engineering through a lens of architectural blueprints: a structured approach that promotes consistency while empowering teams to focus on core business value.

AstraZeneca is on a mission to deliver 20 life-changing medicines by 2030, and is leveraging agentic AI technology to make it happen. The company has implemented AI solutions throughout their organization, revolutionizing their data management and analysis capabilities. Through their innovative approach of using modular, multi-agent AI systems, AstraZeneca has deployed multiple AI tools into production across multiple business units.

Just Eat’s human resources (HR) application Jetty—built with generative artificial intelligence (AI) on Amazon Web Services (AWS)—gives staff faster access to information and cuts ticket volumes by 70 percent. The online food ordering service is using Amazon Bedrock to increase efficiency, “take away the mundane,” and allow the HR team to focus on higher-value projects.