AWS Architecture Blog
Category: Learning Levels
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.
Serverless vehicle tracking at scale: Bosch L.OS on AWS
Learn how Bosch Mobility Platform Solutions built L.OS, a serverless vehicle tracking platform on AWS that unifies India’s fragmented spot logistics market into a single real-time visibility layer using Amazon ECS, AWS Lambda, and Amazon MSK.
Track generative AI costs with Amazon Bedrock inference profiles
Learn how to track generative AI costs by department using Amazon Bedrock application inference profiles and AWS cost allocation tags. Create tagged profiles for each team and view per-department cost breakdowns in AWS Cost Explorer.
Recovery strategies to meet data residency requirements
Learn three strategies for achieving disaster recovery while meeting data residency requirements. Ranging from encryption-based controls on multi-Region replication to fully in-country architectures, these patterns help you balance recovery objectives with regulatory constraints.
Reducing Text2SQL latency with parameterized query templates
Learn how parameterized query templates reduced Text2SQL latency by 80% and cut token consumption by over 50%. This post covers the architecture behind an intelligent caching layer that uses semantic similarity to match user questions to SQL templates, bypassing expensive LLM calls.
Scaling patterns for self-organizing multi-agent clusters with Kiro
Learn how to coordinate AI agents through shared state in Amazon S3 instead of a central orchestrator. Deploy and observe self-organizing agent clusters on Amazon EC2 with the open-source kiro-flock reference implementation.
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.
Dual-token authentication for Nakama game servers with Amazon Cognito on AWS
In this post, you learn how to configure an Amazon Cognito User Pool for SRP-based game client authentication with no client secret. You will implement a Go runtime hook that validates Cognito JWTs and bridges player identity to Nakama sessions.
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.









