GitOps Meets AIOps - Building Reliable AI Pipelines With Argo

Learn how to build reliable AI pipelines by combining GitOps principles with AIOps practices using Argo Workflows and Argo CD in this 23-minute conference talk. Discover how to address the orchestration challenges that arise when AI agents evolve from experimental prototypes to production-grade workflows, where LLM-based agents require more than just GPU resources—they need state management, retry mechanisms, memory, and coordination across multiple tools, APIs, and data systems. Explore how Argo Workflows serves as the runtime execution engine for complex agent pipelines, enabling task chaining, dependency management, and dynamic scaling based on resource requirements, while Argo CD provides GitOps-style control over Kubernetes infrastructure and configurations. Master the implementation of full lifecycle management through declarative deployment, dynamic execution, and safe rollback capabilities. Understand how layering AI agents on top of Argo unlocks advanced capabilities including safe iteration on prompt-driven pipelines, automatic rollback of failed steps, and integration of observability with human-in-the-loop checkpoints for enhanced reliability and control in production AI systems.