AWS Architecture Blog
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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.
Adobe Firefly: Simplified observability with Amazon Managed Prometheus
Learn how Adobe Firefly achieved 28x faster GPU metric queries by migrating from self-managed Prometheus to Amazon Managed Service for Prometheus, with improvements in query performance, infrastructure reliability, and operational efficiency.
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.
Building a serverless AI assistant at Pelago: concept to care in two weeks
Healthcare organizations face a critical scaling challenge – how to maintain deeply personalized patient interactions as member bases grow, without overwhelming care teams or compromising quality. At Pelago, a digital health company specializing in substance use disorder support, the engineering team found a way to build an AI-powered solution to address this challenge using AWS […]
Prioritize your AWS Health alerts using AWS User Notifications
If you run critical workloads on AWS, such as a contact center on Amazon Connect Customer, database workloads on Amazon Relational Database Service (Amazon RDS), or hybrid connectivity through AWS Direct Connect, service health events demand your attention. But not all events are equal. An operational issue, a scheduled maintenance window, and a deprecation notice […]
Unlocking the future of video data: March Networks cloud storage on AWS
Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations. As retention requirements grow and organizations seek to extract more operational insights from video, traditional on-premise storage models are becoming increasingly difficult and […]









