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Learn how to deploy and manage edge AI applications at scale through a comprehensive demonstration of ZEDEDA's edge computing platform for object recognition and computer vision use cases. Explore the deployment of a three-application stack consisting of an AI inference container, Prometheus database, and Grafana dashboard using Docker Compose runtime across a fleet of three edge devices with varying GPU capabilities. Discover ZEDEDA's automated deployment policies and centralized control plane that enables seamless application management from provisioning through deployment based on predefined policies including GPU-specific logic. Master the platform's live update and rollback capabilities by observing remote container updates and rollbacks without runtime restarts, showcasing ZEDEDA's lightweight update mechanisms and Zix infrastructure for configuration management. Gain insights into comprehensive monitoring capabilities including application logs and device metrics such as CPU, memory, and network traffic through the central ZEDEDA controller. Understand the platform's flexibility through demonstrations of complete application stack management including easy cleanup processes by moving edge nodes between projects.
