
Explore edge computing in network components, real-life use cases across industries, and containerized application management. Includes a live demo showcasing practical implementations and possibilities.

Lightweight, hierarchical orchestration framework for edge computing, offering reduced resource usage and improved performance through federated management and semantic overlay networking.

Explore building data streaming apps at scale using Spring, from edge to multi-cloud. Learn to integrate Spring with Kafka, MQTT, and other technologies for real-time processing in IoT and cloud environments.

Explore advanced stream processing on edge devices for real-time data analysis, enabling features like anomaly detection and distributed machine learning using open-source software.

Exploring the shift towards running web applications directly on the edge, improving performance and simplifying deployment for global audiences.

Discover how to build and deploy Vue applications on the edge for lightning-fast user experiences. Learn techniques to optimize performance and enhance responsiveness.

Learn to combine multiple APIs and databases into a centralized GraphQL API with enhanced features, deployed to the edge using WebAssembly for improved performance and scalability.

Explore Remix's versatility in supporting multiple JavaScript runtimes, enabling native execution across Node.js, Cloudflare Workers, and Deno. Learn about its design and advantages for edge computing.

Explore building real-time collaborative apps using edge computing, CRDTs, and other technologies. Learn accessible methods for regular developers and see a live demo of shared space interaction.

Explore building machine learning models in JavaScript using React Native, leveraging libraries like Onnx.js and Tensorflow.js for edge computing applications.

Explore edge cloud computing's impact on Industry 4.0, including drivers, challenges, and solutions for low-latency applications and digitization of physical industries.

Explore PYNQ: Python-based platform integrating microprocessors, microcontrollers, and FPGAs. Learn to leverage programmable system-on-chips for embedded development using familiar Python ecosystem and Jupyter notebooks.

Explore open-source edge computing using Python and SlapOS, learning advanced techniques for distributed systems beyond traditional cloud architectures.

Explore the evolution of cloud computing with AI on the edge, focusing on pushing logic and ML models from Azure to edge applications using IoT Edge and its custom modules.

Learn to deploy Azure data services on-premises, multi-cloud, and edge environments using Azure Arc. Gain cloud benefits, automation, elastic scaling, and unified management across hybrid infrastructures.

Explore Azure SQL Database Edge: optimized for edge computing with streaming support, machine learning, and "develop once, deploy anywhere" capabilities. Learn about features, deployments, and customer scenarios.

Explore machine learning options in SQL Server ecosystem, from edge devices to cloud, covering training, testing, and operationalization for various workloads and design patterns.

Explore Azure Arc's role in extending Azure data services to on-premises, multi-cloud, and edge environments, enhancing SQL Server capabilities and enabling edge computing for valuable data insights.

Hands-on workshop for building edge AI applications using KubeEdge. Learn to deploy edge nodes, set up device connectivity, and develop video stream processing with machine learning in just 30 minutes.

Explore KubeEdge, an open-source framework extending Kubernetes to edge computing. Learn about its architecture, features, and applications in IoT and edge device management across cloud and edge environments.

Exploring edge application development with Kubernetes, covering IoT solutions, video processing, and industrial IoT. Discusses best practices, operational considerations, and available tools for edge workloads.