Five ways to evaluate AI agent orchestration platforms

4. Interoperability and open standards MCP and A2A are two ways AI agent orchestration platforms support open standards and enable connecting to an ecosystem of agents. Many platforms also allow developers to select and replace...

Azure’s new AI modernization tools

That’s the extreme end of technical debt—software archaeology rather than software engineering. Day-to-day technical debt is perhaps better thought of as a drag on...

The death of reactive IT: How predictive engineering will redefine cloud performance in 10 years

CLOSED-LOOP FEEDBACK SYSTEM This pipeline captures how data is ingested, modeled, predicted and acted upon in a real-time system. Reactive vs predictive lifecycle Reactive IT: Event Occurs →...

Generative AI and the future of databases

The next step is also being secure. The challenge is, if the LLM can run any possible query against the database, then how do...

Breaking the cloud monopoly | InfoWorld

The dominance of hyperscalers AWS, Google Cloud, and Microsoft Azure has shaped the cloud landscape for more than a decade. Enterprises flocked to these...

Automating devops with Azure SRE Agent

Making this type of agent event-driven is important, as it can be tied to services like Azure’s Security Graph. By using current Azure security...
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