How Microsoft's new plan for self-repairing data centers will transform IT roles
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How Microsoft's new plan for self-repairing data centers will transform IT roles
"Microsoft unveiled a new series of services to address some longstanding problems with managing data centers at its annual Ignite conference, Tuesday. The company, which well understands these problems because it runs some of the world's largest data centers, has a new multi-tiered solution that may give all of us IT folks a little peace. Enterprise data centers are huge, complex operations. Enterprise networks alone consist of a bouillabaisse of distributed services, third-party APIs, proprietary and open source cloud services, and local services. All of these face constant large and small updates, along with constant integrations with new capabilities (or re-integrations because someone changed their API). It never stops."
"Exacerbating the situation is a sense of alert fatigue, maintenance debt, observability gaps, and talent shortages, not to mention the constant threat of external attack. To solve the software management problems discussed above, we'll need a much more dynamic AI, one that is constantly running and can act, react, modify systems, and even repair problems based on its training. Here's how Microsoft is using AI to take aim at some of the issues keeping IT professionals up at night -- alerts and all."
Microsoft announced new AI-driven services intended to simplify and automate enterprise data center management. The services address complexity from distributed services, third-party APIs, proprietary and open source cloud services, and local services that require constant updates and integrations. The offering targets alert fatigue, maintenance debt, observability gaps, talent shortages, and threats from external attack. The approach relies on continuously running, dynamic AI agents capable of acting, reacting, modifying systems, and performing repairs. Foundry Agent Service delivers a fully managed, enterprise-grade runtime for hosting, scaling, coordinating, and governing long-running and multi-agent AI systems in the cloud without developer-managed infrastructure.
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