Category: Database

This post is a technical deep dive. It explains the Sandbox’s multi-tenant isolation model along with its inherited security and cost controls. It then examines two production-grade multi-agent AIOps systems our teams built on top of it, including the LangGraph (an open source multi-agent orchestration framework) state model, Retrieval-Augmented Generation (RAG) design, OpenSearch query patterns, parallel root cause analysis (RCA) with self-falsification, and the human-in-the-loop safeguards that help make agentic recovery safe in production. Code samples are illustrative and simplified for readability.

When AWS released Amazon S3 Tables, this calculus changed. In this post, you will learn how Amica reduced their ETL job runtimes by 80% by building a data lake for core insurance data using S3 Tables.

Learn how Peloton uses Amazon Bedrock for access to frontier models, including Anthropic’s Claude Sonnet 4.6, Opus 4.7 and Opus 4.8. Amazon Bedrock also provides global cross-region inference, integration into AWS CloudTrail and AWS CloudWatch, and model access logging for the observability and audit controls its engineering organization requires.

In this post, we present a deployable reference architecture that addresses both challenges simultaneously. We show how Amazon Bedrock AgentCore orchestrates a single AI agent that reasons across unstructured documents in Amazon S3 and structured data in Snowflake.

Every Thanksgiving, tens of thousands of Peloton Members log on for Turkey Burn, a community tradition that has grown into one of the most technically demanding real-time workloads in the fitness industry. In 2024 and 2025, that engineering foundation held flawlessly: two consecutive events, zero major incidents. This builds on a 2023 Guinness World Record that saw 27,556 simultaneous participants in a single cycling class. Behind those results is a sophisticated cloud architecture on AWS, shaped by years of rigorous engineering, deep partnership between Peloton and AWS teams, and a relentless commitment to continuous improvement.

In this post, we show you how Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands Agents come together in VEMA (Voice-Enabled Manufacturing Assistant)—an AI-powered voice assistant that lets workers speak naturally to get instant answers, hands-free, in English or Spanish, without ever leaving their workstation.

This post shows how Autel used AWS cloud services and AI technologies to build an AI digital employee system that streamlines charging station operations. We explore the five specialized AI agents we created, the technical architecture powering them, and how these intelligent employees enable CPOs to manage their charging networks more efficiently with conversational interfaces rather than complex manual processes.

Learn how BBVA leverages AWS technologies that provide the technical foundation while supporting the bank’s high standards for governance, risk management and auditability.

Learn how by combining MedDream’s FDA-cleared diagnostic viewer with AWS HealthImaging and automated AWS Cloud Development Kit (AWS CDK) deployment, you can deploy a complete, production-ready medical imaging solution in under an hour—achieving sub-second loading times and reducing storage costs by up to 40% compared to on-premises infrastructure.

Every major industrial facility relies on thousands of highly complex technical drawings called Piping and Instrumentation Diagrams (P&IDs) that serve as the DNA of industrial operations. These diagrams show how equipment connects, materials flow, and safety systems protect workers and assets. These diagrams are complex. For example, where 511 industrial P&ID documents may mean 1,397,710 […]