Centralized IoT cloud brought the revolution a few years back. However, alongside the exponential growth of IoT devices connected to a single cloud provider came several problems and constraints – latency, performance, regulatory compliance, and security among them.
The Distributed IoT cloud fixes these problems using edge computing principles and a distributed cloud approach. It allows us to build secure, scalable, and flexible industrial platforms.
Giants such as Microsoft, PTC, Hitachi, Software AG, and others already offer solutions to accelerate IIoT businesses.
To start using distributed cloud approach, choose your favorite public cloud provider and a respective service for IoT.
For example, you may start with AWS Greengrass to access AWS services from the edge device and connect with IoT devices through MQTT.
Or, you might build a private 5G wireless IoT network with the AWS Greengrass (or alternatives) and a private 5G RAN infrastructure. This would enable you to serve huge industrial areas without the additional hassle of a wired network setup.
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Volodymyr Vyshko has played different roles over his 10 years in IT, including java backend dev, js frontend, node.js backend, scrum master, lead, and cloud architect. As a trainer, he teaches courses including "Algorithms and data structures" and "Distributed systems design."
Vladyslav Branytskyi is a software engineer with experience in Computer Science, Deep Learning, and Big Data. A PhD candidate in Artificial Intelligence, he is passionate about learning new things and innovative technologies.
Vasyl Akimov, an engineer with strong system administrator experience in the Linux environment, has been working in IT for about 10 years. Vasyl's current interests and areas of specialization include DevOps methodologies, telco domain technologies, and security.