The New Stack says separating state—the data an app retains—from compute solves the database “idle cost trap” as agent-driven apps scale.
The New Stack describes data persistence as the hard problem when agents build, deploy and maintain applications. It says decoupling state from compute solves the database idle-cost trap in scaling those apps.
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The New Stack says separating state—the data an app retains—from compute solves the database “idle cost trap” as agent-driven apps scale.
The New Stack describes data persistence as the hard problem when agents build, deploy and maintain applications. It says decoupling state from compute solves the database idle-cost trap in scaling those apps.
The New Stack@thenewstackLearn how decoupling state from compute solves the database idle cost trap in agent-driven application scaling. Thanks to PingCAP
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The New Stack@thenewstackLearn how decoupling state from compute solves the database idle cost trap in agent-driven application scaling. Thanks to PingCAP