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      <title>Article: Architecting Agentic MLOps: a Layered Protocol Strategy with A2A and MCP</title>
      <link>https://www.infoq.com/articles/architecting-agentic-mlops-a2a-mcp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agent2Agent-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/architecting-agentic-mlops-a2a-mcp/en/headerimage/architecting-agentic-mlops-a2a-mcp-header-1770303550343.jpg"/&gt;&lt;p&gt;In this article, the authors outline protocols for building extensible multi-agent MLOps systems. The core architecture deliberately decouples orchestration from execution, allowing teams to incrementally add capabilities via discovery and evolve operations from static pipelines toward intelligent, adaptive coordination.&lt;/p&gt; &lt;i&gt;By Shashank Kapoor, Sanjay Surendranath Girija, Lakshit Arora&lt;/i&gt;</description>
      <category>MLOps</category>
      <category>Agents</category>
      <category>Agent2Agent</category>
      <category>Artificial Intelligence</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 16 Feb 2026 09:00:00 GMT</pubDate>
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      <dc:creator>Shashank Kapoor, Sanjay Surendranath Girija, Lakshit Arora</dc:creator>
      <dc:date>2026-02-16T09:00:00Z</dc:date>
      <dc:identifier>/articles/architecting-agentic-mlops-a2a-mcp/en</dc:identifier>
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