Edge Computing Patterns for Solution Architects

Preface

Edge computing as we know it has rapidly evolved from its early days as a successor to the Internet of Things (IoT). Processing data at the source has become the ultimate goal because businesses and people expect analytics insights to be available and transaction results to be cleared in real time. That includes medical analysis, money transfers, payment receipts, video inferencing, and voice recognition. All this is possible because devices have become “smart” and the communication networks are able to deliver high speed and high throughput with low latencies to these new deployments. We have seen the rise of a new paradigm of application architecture specifically designed to run in domains that are not only constrained but also widely ...