AWS Architecture Blog

Category: Learning Levels

Consistency is the new latency: AI at the data layer

Consistency is the new latency: AI at the data layer

As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them. This post examines how replication lag poisons an agent’s context and shows how to match Amazon Aurora, Amazon DynamoDB, and Amazon Keyspaces replication models to each task’s consistency requirements.

S&P Global’s innovative disaster recovery strategy using Amazon FSx for NetApp ONTAP snapshots

In this post, we explain how S&P Global Market Intelligence implemented an innovative disaster recovery solution for their Capital IQ platform using Amazon FSx for NetApp ONTAP. This solution enables immediate failover to read-only mode in a secondary region within 15 minutes, followed by full read-write recovery when needed. This approach achieves reduction in failover time while maintaining data consistency for global financial operations.

How Samsung achieved real-time pricing with AWS Lambda Response Streaming

In this post, we walk through the legacy architecture challenges, the stateless streaming solution, key implementation patterns, and performance results—a pattern you can apply if you’re building high-traffic APIs that aggregate data from multiple backend sources.

Introducing the Snowflake and AWS Custom Lens for the AWS Well-Architected Framework

The Snowflake and AWS Custom Well-Architected Framework Lens brings together AWS Well-Architected best practices and Snowflake guidance into a single review experience, with integrated recommendations that reflect how the two services compose in production. In this post, we walk through each pillar, the three access points (AWS Management Console, Kiro, and Snowflake Cortex Code), and how to run your first review.