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Selector AI

Join **John Capobianco**, Product Marketing Evangelist at Selector AI, and **Du’An Lightfoot**, founder of *Lab Every Day* with over 15 years of industry experience and a current focus on AI/ML and AWS, for a timely and technical conversation on how Model Context Protocol (MCP) is enabling an emerging Internet of AI Agents.

In this session, John and Du’An explore the evolution from traditional networking to AI-driven architectures, with a particular focus on how MCP is opening new doors for innovation, interoperability, and automation in tech.

This webinar will cover:

🔹 **What is MCP?**

An introduction to the Model Context Protocol, its purpose, and why it’s essential for scalable, modular AI systems.

🔹 **How MCP compares to other protocols and techniques**

Get a technical breakdown of how MCP stacks up against alternatives like LangChain, ReAct, and agent messaging frameworks—and why it matters for real-world deployment.

🔹 **How AWS and Selector AI are implementing MCP**

See how MCP is being adopted by cloud leaders like AWS and AI-native companies like Selector AI to orchestrate intelligent agents, streamline workflows, and enhance observability and automation across modern infrastructures.

🔹 **The shifting landscape of networking roles**

Understand how AI is transforming the core responsibilities of networking professionals—and why embracing these changes can unlock new career paths and technical domains.

🔹 **The enduring value of the *Lab Every Day* mindset**

Du’An will share how his philosophy of continuous learning and experimentation is more relevant than ever in the age of AI and what it takes to stay ahead.


An Internet of AI Agents: A Discussion about Model Context Protocol 

Join **Varija Sriram, Head of Application and Data Engineering at Selector**, and **John Capobianco, Product Marketing Evangelist at Selector AI**, as they discuss how **Kubernetes and microservices** power Selector AI’s cloud-native architecture.

This session will cover:

*   **Cloud-native foundation** – How Selector AI is built on **Kubernetes**, ensuring scalability, flexibility, and resilience.
*   **Microservices architecture** – A deep dive into the various **microservices** that enable Selector AI’s intelligent network automation.
*   **Infrastructure as Code (IaC) with YAML** – How simple **YAML files** allow for seamless scaling, feature updates, and adjustments.
*   **Effortless scaling** – How Selector's S2M monitoring platform is used to enable **auto-scaling** and \*\*rapid expansion in \*\*Kubernetes, adapting to network demands with ease.

Reserve your seat today!


An Internet of AI Agents: A Discussion about Model Context Protocol

Infrastructure as Code: Microservices with Kubernetes at Selector