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The article addresses storage architecture challenges specifically arising from AI agent interactions with transactional databases, positioning Lakebase as a solution to mitigate bottlenecks in this emerging workflow. By focusing on Object Storage and Write-Ahead Logging (WAL) optimizations for Postgres, the piece targets the infrastructure requirements necessary to scale agentic systems without compromising performance.
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Object Storage + WAL: Lakebase Postgres for the agentic era
Databricks1 min de cititArticolul și perspectiva sunt în engleză.
Agents that interact with a traditional OLTP database often create bottlenecks at the storage layer. New deployments...
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