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Curious about serverless caching on AWS? This short video on Amazon ElastiCache Serverless for Valkey covers the key benefits of serverless caching, explores the scalable architecture, and shows the solution in action through a brief demonstration. Perfect for developers and architects looking to optimize performance with zero infrastructure management. Learn more about Amazon ElastiCache resources: https://go.aws/47D1x8h Subscribe to AWS: https://go.

🔍 In this episode of Built on AWS, discover how Honeycomb AI transforms observability through AWS integration. Learn how their innovative Model Context Protocol (MCP) Server delivers powerful insights for modern applications. This series showcases innovators who are building groundbreaking solutions on AWS.

As Managed Service Providers (MSPs) evolve to meet the growing demand for proactive cloud management, AI agents are becoming essential collaborators in service delivery. Through live demonstrations, you'll learn how to build and deploy incident response and infrastructure monitoring agents using AWS's agentic AI capabilities.

Commonwealth Bank of Australia (CBA) is one of Australia's leading providers of integrated financial services serving over 17 million customers. The bank's Cloud Foundations group manages over 1,700 AWS accounts and provides centralized cloud operation services for thousands of engineers. To test AWS DevOps Agent, the team recreated a complex network and identity issue that would typically take hours to resolve. The agent identified the root cause in under 15 minutes.

This comprehensive 60-minute webinar explores the powerful combination of AWS Network Reachability Analyzer and Network Access Analyzer for improving both network observability and security. Ideal for cloud architects, DevOps engineers, and security professionals, this session will guide you through the why and when of using these tools, with a primary focus on end-to-end observability use cases that also enhance security.

Generative AI is transforming user experiences with real-time, context-aware applications. This session shows how to build full-stack Generative AI apps that combine modern web front ends with scalable backends with CDK. Through live demos and code, learn how to implement backend and Generative AI capabilities, CI/CD pipelines, and automated guardrails by using MCP servers and AI coding tools.

In this code talk, we'll demonstrate how to automate the validation and analysis of AWS IAM policies using GitHub Actions and IAM Access Analyzer. Through live coding examples, you'll see how policy validation and analysis, powered by automated reasoning, can minimise deployment of unwanted IAM policies. While security teams oversee organizational security posture, developers create applications needing permissions.

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/lambda-concurrency-limit-increase The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. James shows you how to How do I request a concurrency limit increase for my Lambda function?

AI coding agents promise faster development, but in reality, many teams face chaos instead of clarity. Different tools, inconsistent code quality, rising costs, and lack of visibility make it hard for organizations to scale AI responsibly. The result? Developers experiment, managers worry, and trust in AI adoption breaks down. Let's talk about whether it's possible to build that trust. Can freedom of choice for developers and transparent governance for organizations coexist?

Training large AI models requires significant compute resources and can be time and cost intensive. In this session, learn to optimize and accelerate your model training workloads using AWS's purpose-built infrastructure and tools. We'll dive deep into leveraging services like Amazon SageMaker HyperPod for distributed training at scale and SageMaker fully managed training jobs for cost-effective ML acceleration.

Join us for a deep dive into Amazon Aurora Distributed SQL (DSQL), where you'll learn how to build a data store that seamlessly scales across regions. Through hands-on demonstrations, you'll discover how to leverage DSQL's automatic data distribution, manage cross-region transactions, and scale to meet your performance requirements.

In this episode, watchers will hear from Lucas Glass, SVP of Technology, IQVIA, Matt Carr, GM and Managing Director for US Healthcare, AWS and Lyndi Wu, Sr. Director, HCLS Ecosystem at NVIDIA on how IQVIA are building advanced Agentic AI solutions specifically for the life sciences R&D, regulatory, and commercial operations using NVIDIA technology and AWS Agentic services.