AI agents can create database sprawl issues. YugabyteDB’s solution is more agents!
The next database scaling problem may not be how big a database gets, but how many databases an enterprise suddenly The post AI agents can create database sprawl issues. YugabyteDB’s solution is more agents! appeared first on The New Stack .
YugabyteDB’s new serverless PostgreSQL tier, YugabyteDB AMP, aims to address the scaling issues caused by the increasing number of AI agents generating data demands. Co-founder and co-CEO Karthik Ranganathan explains that scale is shifting from large databases to a proliferation of databases. YugabyteDB AMP extends Yugabyte’s reach to smaller end of the spectrum while maintaining its distributed architecture for mission-critical workloads.
It uses serverless multitenancy and Enhanced Colocation to pack hundreds of workloads onto shared infrastructure, giving each agent an isolated PostgreSQL database.
The economics of running fleets of databases, including those powering AI agents, make sense. YugabyteDB AMP scales to zero when idle and charges by CPU minute when running. The company also identifies the need for management of these numerous databases, which it addresses by including four custom-built-in AI agents: Architect, Voyager, Perf Advisor, and Nexus.
Architect handles database creation and provisioning, considering organizational context such as where databases should reside and their compute requirements. Voyager aids in migration and modernization by bringing existing databases into the fold and determining sizing and scaling requirements. Perf Advisor manages running databases, investigating outages or performance issues, providing root cause analysis, and preventing problematic queries before reaching production.
Finally, Nexus handles the ecosystem around the database, connecting it to external infrastructure like warehouses, data streams, and key management systems. While there are concerns about letting AI agents provision and manage databases, YugabyteDB AMP provides a "guarded amount of freedom" with controls depending on the environment.
The company also designs the system to handle successful experiments, allowing teams to start on a small serverless database and scale up to YugabyteDB's distributed PostgreSQL layer when needed without requiring an application rewrite or conventional migration.
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