AgentOps: Operationalize AI Agents

Published on 11 Jun 2025, 21:03

Join Sokratis Kartakis and Sita Lakshmi Sangameswaran to dive into the essential practices for operationalizing Generative AI Agents! This comprehensive guide introduces AgentOps, building upon the foundations of DevOps, MLOps, and GenAIOps to tackle the unique challenges of managing AI agents. Learn the fundamental components including Agent evaluation, optimization, tool management, repository and CI/CD pipeline standardisation, and effective architecture designs incorporating people and processes. Explore strategies for handling multi-turn interactions, agent memory, and discover key agent development frameworks for robust deployment.

Resources:

GenAIOps End-to-End Starter Pack → goo.gle/e2e-gen-ai-app-starter...
Google ADK Walkthrough: Your Step-by-Step Development Tutorial → goo.gle/4kFyHbv
GenAI in Production: MLOps or GenAIOps? → tinyurl.com/MLOpsDefinitions
GenAIOps: Operationalize Generative AI - A Practical Guide → tinyurl.com/GenAIOps-Guide
Taming the Tool Chaos: The Generative AI Agents & Tool Registry → tinyurl.com/AgentToolRegistry
Operationalizing Generative AI on Vertex AI using MLOps → tinyurl.com/GenAIOps-VertexAI

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Speakers: Sita Lakshmi Sangameswaran
Products Mentioned: Agent Developer Kit (ADK)