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Context engineering is vital to make sure agents can return truthful and grounded information. Valyu has built AI native search tools and APIs, rapidly gaining developers' trust in providing the right context at the right time, at low cost to agents and LLMs.

Design patterns are powerful tools for software architects. When modernizing legacy applications, three patterns hold special significance: Strangler Fig, Circuit Breaker, and Sagas. In this session, we'll explore how these patterns create a resilient pathway from legacy systems to modern architectures. Strangler Fig helps incrementally modernize your architectural style, away from Monolith. Circuit Breaker shields from cascading failures and supports the design of self-healing systems.

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/presigned-url-s3-bucket-expiration The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

Commercial Databases have been around for decades and hold the most valuable data of enterprises. Bringing them to the Cloud creates tremendous opportunity to drive innovation and new customer experiences using Agentic AI. Learn how AWS makes using Commercial Databases easy to drive Data pipeline & Agentic workflows to deliver innovative experiences. - Tobias Ternstrom, Director AWS Databases.

This session will focus on the latest Industry & LOB solutions, from Generative AI solutions in radiology to geospatial modeling for power. We will explain the opportunity for AWS Partners to increase visibility of their offerings, as well as develop joint business with AWS and we unlock new innovations for customers. We will share with partners the approach AWS is taking to address key industry use cases with Agentic AI, via partner solutions running on AWS.

Transform traditional lock-in concerns into strategic architectural decisions using practical evaluation frameworks. Learn how organizations leverage proven analysis tools to assess switching costs against unique service capabilities. Explore patterns for determining when AWS-native services provide the best value versus when portability matters most. Through real-world examples, discover how to make pragmatic architectural choices that maximize business impact.

Learn how Amazon CloudFront powers high-profile streaming events with low-latency, scalable delivery. Discover how to optimize caching using embedded POPs, reduce origin load with Origin Shield, and fine-tune streaming performance. We will dive into Common Media Server Data (CMSD) techniques that dynamically adjust to network conditions, maintaining high-quality viewing experiences for global audiences.

In this session, learn about new Amazon Neptune capabilities for high-performance graph analytics and queries over data lakes to unlock the implicit and explicit relationships in your data, driving more accurate, trustworthy generative AI responses. We'll demonstrate building knowledge graphs from structured and unstructured data, combining graph algorithms (PageRank, Louvain clustering, path optimization) with semantic search, and executing Cypher queries on Parquet and Iceberg formats in...

Discover how Kakao and Samsung transformed operations with AI on AWS. Kakao achieved 400x faster observability for 50 million daily users using EKS with ClickHouse and AI-driven analytics, processing billions of log events and reducing query times from hours to seconds while enabling proactive anomaly detection.

Transform traditional enterprise workflows into intelligent, automated operations using modern event-driven architecture and AI capabilities. This session demonstrates how to evolve monolithic systems into scalable, cloud-native solutions that leverage AI agents for near real-time decision making and automated processing.

In this session, discover best practices for modernizing manufacturing applications - such as SCADA, Historian, and MES - and integrating Operational Technology data into an Industrial Data Fabric. Through reference architectures and a live demonstration, we will show examples of how to accelerate data ingestion and contextualization in order to deploy a breadth of analytics and agentic capabilities to deliver outcomes such as improved process quality, cost productivity, and machine reliability.

Discover how collaborative design company Figma accelerated AI model development and empowered developers using Amazon SageMaker AI. Learn more about Amazon SageMaker for MLOps: http://go.aws/47kTeMP 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.aws/more Next steps: Explore on AWS in Analyst Research: https://go.