Databases
System relies on a proprietary storage layer as AWS moves to separate storage and compute to fit mega AI demands
Amazon has re-engineered its serverless OpenSearch database service, separating storage and compute in a move it claims will benefit developers faced with new demand characteristics of agentic AI. The new serverless system would avoid the problem of users paying for idle compute capacity between demand bursts, the vendor claims. Speaking to The Register, Tia White, Director of OpenSearch, AWS said: “Collections can shrink all the way to zero when nothing's happening. We have mitigated the cold start problem, so they spin back up in seconds when traffic is needed as agents restart. It auto-scales 20 times faster than before.”
AWS promises a fully managed search and vector engine designed for customers building AI agents, offering up to 60 percent cost savings compared to the cost of OpenSearch Service clusters provisioned for peak capacity.
AWS has integrated OpenSearch Serverless into Vercel, letting developers spin up new search backends directly from the Vercel console without leaving their workflow. The service also powers the OpenSearch Launchpad inside Kiro - AWS's new agentic coding IDE - providing guided, end-to-end architecture planning for search applications. Broader AI development platform support is coming.
