---
title: Webinar | How to build production-ready AI agents that scale
description: In this session, Arcade and Yugabyte explore the data architecture and tool integration patterns required to build production-ready AI agents that scale.
image: https://info.yugabyte.com/hubfs/YugabyteDB_Webinar_Arcade-AI_On-Demand_Social_1200x628_02%20(1).png
---

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## On-Demand Webinar

# Building Production-Ready AI Agents: Data Architecture and Tool Integration Patterns

![Black Arcade](https://info.yugabyte.com/hs-fs/hubfs/Black%20Arcade.png?width=300&height=79&name=Black%20Arcade.png "Black Arcade")

## How to Efficiently Scale and Deploy AI Agent Systems

Most AI agent projects never make it to production. The demo works great, but when you try to deploy at scale with real users and live data, everything falls apart. Response times spike, agents return stale information, and security teams block the whole thing.

In this session, explore two infrastructure problems that kill agent deployments:

1. Building a data layer that agents can actually rely on
2. Creating tool infrastructure that works in production environments

## Why Watch?

Register now to learn real deployment strategies and best practices from Yugabyte and Arcade’s AI experts. We'll walk through the architectural decisions that matter, the performance bottlenecks that surprise everyone, and the security requirements you can't ignore.

## What You'll Learn

- Vector search architecture for production agents: how distributed databases handle retrieval at scale without sacrificing speed or consistency
- Tool integration patterns that solve security and quality problems: authorization, governance, and preventing agents from breaking things
- Live demo showing how Arcade and Yugabyte can work together in a real agent deployment
- Interactive Q&A for you to get answers to your specific deployment challenges

### Watch the Webinar

## Speakers

![YugabyteDB_Arcade-AI-Webinar_Guru-Sattanathan_500x500_01](https://info.yugabyte.com/hubfs/YugabyteDB_Arcade-AI-Webinar_Guru-Sattanathan_500x500_01.png)

#### Guru Sattanathan Principal Solutions Architect, Arcade

Guru Sattanathan is a Principal Solutions Architect at Arcade, where he helps enterprises build AI agents that go beyond demos into production. With more than a decade of experience in distributed systems and enterprise integration - spanning Kafka, Apache Pinot, Flink, Apache Camel and MuleSoft - he now applies those lessons to the challenges of deploying reliable, scalable agentic AI systems.

[LinkedIn](https://www.linkedin.com/in/gnanaguru/)

![YugabyteDB_Arcade-AI_Webinar_Heather-Downing_500x500_01](https://info.yugabyte.com/hubfs/YugabyteDB_Arcade-AI_Webinar_Heather-Downing_500x500_01.png)

#### Heather Downing Developer Advocate, Yugabyte

Climbing the technology mountain and halfway up the side. Experience in .Net, Auth, and API development. Dabbles in IoT & databases. Focusing on coding for humans and choosing the right tool for the job.

Heather is a passionate coder and entrepreneur. She has experience working with Fortune 500 companies building enterprise-level mobile and .Net applications. She spends her spare time at tech conferences supporting the growth of new developers of all genders, ages, and backgrounds. When not coding, Heather spends her time as a competitive equestrian and learning the art of mounted archery.

[LinkedIn](https://www.linkedin.com/in/heathermdowning/)

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