Building an AI Control Plane for Agents on Kubernetes: What I Built, What Broke, and What It Changed

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Author: Animesh Kumar Sinha/ Technical AI Architect / https://www.linkedin.com/in/animesh-kumar-sinha-56792119/ Note: This article is a volunteer contribution, and we’re grateful to Animesh for sharing his time and expertise with our readers. Introduction:The day I realised we had agents but no controlWhat an AI Control Plane Actually IsThe data plane I had to governAI Control Plane: Design... Continue Reading →

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MCP in Depth: Turning a Multi-Agent Domain RAG System into MCP Servers on Kubernetes

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Written By Animesh Kumar Sinha/ Technical Architect How I put every enterprise source behind MCP, ran the servers on Kubernetes, and kept user identity intact end to end The problem: one question, many places to look Here is the kind of question that lands on an architect's desk in a large enterprise data domain almost... Continue Reading →

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Orchestrating Intelligence: A Multi-Agent Research System with Coordinator Pattern, MCP Integration, and Quality-Gated Pipelines

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The real challenge isn't building one brilliant agent. It's teaching a team of focused agents to think together — without ever speaking to each other directly. Author: Animesh Kumar Sinha | Solution Architect| https://www.linkedin.com/in/animesh-kumar-sinha-56792119/ Research Article Keywords: Multi-agent systems, agentic AI, AI orchestration, Model Context Protocol (MCP), coordinator pattern Abstract This paper presents a production-grade... Continue Reading →

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