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Writing and updating Suricata rules for AWS Network Firewall shouldn’t be the blocker to achieving your security goals. In this session, I’ll share how we built a lightweight pipeline that transforms raw inputs, like ports, protocols, domains, and IPs, into production-ready suricata rules using Amazon EventBridge, AWS Lambda, and Amazon S3.

Keeping track of the order of events in distributed systems is one of the most fundamental and important problems in computer science. In 2023, we improved the Amazon Time Sync Service to microsecond-level clock accuracy so we, and our customers, can use wall-clock time in applications including databases, AI/ML, financial services, broadcast/media, telecommunications, and more to improve both the performance and resiliency of our systems and applications.

Discover how Modal leverages AWS infrastructure to provide lightning-fast, serverless AI deployment capabilities. Learn about the architecture decisions, AWS services integration, and how to get started building your own AI applications using Modal's platform.

AWS Elemental Inference applies AI in parallel with encoding to automatically transform live and on-demand video into ready-to-use outputs and real-time contextual metadata, enabling broadcasters, streamers, and enterprises to reach audiences on any platform, monetize content intelligently, and automate workflows without manual work, reprocessing, or AI expertise.

Discover AWS Lambda's groundbreaking remote debugging capability, allowing developers to debug functions deployed in AWS cloud from local IDE for the first time. Learn how to set breakpoints, step through code line-by-line, inspect variables, and analyze call stacks in live Lambda functions. Experience practical debugging techniques for complex serverless scenarios with minimal setup and performance impact.

Join a panel discussion hosted by PwC, featuring four Chief Information Officers from leading healthcare systems, as they explore the future of healthcare in a financially strained and rapidly evolving landscape. Discover how organizations are leveraging generative AI and secure, cloud-native platforms to boost productivity, reduce operational costs, and empower their clinical, operational, and research teams.

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/bedrock-invoke-tokens The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Deepika shows you how to check the number of input and output tokens when invoking a model in Amazon Bedrock.

In this video, learn about Large Language Model (LLM) Model Distillation Techniques and how you can use knowledge distillation techniques to generate faster and more efficient Small Language Models (SLMs) that are domain experts. To learn more, visit https://go.aws/4hUrxiX 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.aws/contact Explore more: https://go.

Agentic systems—AI-driven applications that autonomously act across services—are transforming enterprise workflows, but they also create a surge in non-human identities (NHIs) and secrets that expand the attack surface. In this session, we’ll explore a vulnerable agentic application scenario to illustrate the risks of static credentials, permissive access, and leaked secrets.

Want to learn how Amazon S3, one of the world's largest distributed systems, manages software deployments at scale? This session reveals practical insights into our deployment tools, feature flag strategies, and progressive rollout techniques that enable reliable updates at massive scale. We'll share real-world lessons learned from critical deployments, including how we handle rollbacks, manage dependencies, and monitor service health during updates.

Strava built its Athlete Intelligence feature using Claude by Anthropic in Amazon Bedrock, providing tailored insights safely in a friendly brand voice to help athletes interpret their activity data. Using Amazon Bedrock Guardrails, Strava is able to detect factual errors, filter harmful content, and mitigate undesirable topics—helping Athlete Intelligence deliver positive and encouraging insights. Case Study: https://go.aws/4qOXlK3 Subscribe to AWS: https://go.

Build with fully managed integrated development environment (IDE) for R with a console, a syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management. Use preconfigured R packages such as devtools, tidyverse, shiny, and rmarkdown to generate insights, and publish them using RStudio Connect. Seamlessly switch within RStudio, JupyterLab, and Code Editor IDEs for R and Python development.