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This blog post is the second of a four-part series called The Economics of Agent Optimization which shares the strategies, capabilities, and proof points to help you optimize agent costs and run AI as a managed investment system on Microsoft Foundry.The first post set out the three decisions that
SummaryThis post is for technical decision makers evaluating where to run production PostgreSQL workloads. It compares two valid operating models—self-managed PostgreSQL and a managed database service—through business and operational outcomes: control, engineering capacity, resilience, security, cost predictability, risk tolerance, and access to specialist expertise. The right choice depends
Business leaders are facing a familiar challenge at an unfamiliar scale. Every organization is being asked to move faster as markets change quickly, customer expectations continue to rise, and technology advances at a pace that can feel overwhelming. Teams are expected to deliver greater results, often with the same resources
As organizations accelerate AI adoption and modernize their digital estates, applications, data, and infrastructure increasingly span multiple cloud environments. Customers are choosing the best platform for each workload, leveraging unique capabilities across providers to drive innovation, resilience, and business agility. Yet while multicloud strategies have become commonplace, networking between cloud