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Learn how to implement operational automation in OpenStack environments using Large Language Models (LLMs) and Model Context Protocols (MCP) through this 36-minute conference talk. Explore real-world applications of AI-powered automation tools similar to Amazon Q Developer, PagerDuty GenAI, and Datadog Bits AI, and discover how these approaches can be adapted for OpenStack deployments. Examine practical implementations that integrate LLMs and MCP with OpenStack's Mistral Workflow and external APIs to automate critical tasks including virtual machine provisioning, incident response, and resource optimization using natural language commands. Review proof-of-concept results demonstrating how automated incident management can dramatically reduce resolution times in production environments. Gain insights into the evolving role of AI agents in infrastructure operations and learn practical strategies for effectively deploying these technologies in OpenStack-based cloud environments.
