As the number of intelligent devices grows, it’s increasingly apparent that Internet of Things (IoT) technology can solve many of the problems we face today.
One problem it can solve for developers, for example, is to move IoT backend services to the cloud, enabling the technology to operate without downtime or delays and deploy resources more efficiently.
People using IoT devices worldwide can use a single geographical place (region) for backend services. However, this creates a problem as it can introduce data storage latency and poor user experience.
Solving this requires architecting an IoT cloud and distributing it to all regions close to the user.
The AWS Cloud spans 84 availability zones within 26 geographic regions worldwide, but IoT applications still need more sites to operate efficiently.
Imagine a home security system with web cameras that should detect and save abnormal movements in the house. These cameras could be spread worldwide, connecting them to a standard cloud like AWS with a classic client-server architecture.
Operating this way causes delays and growing costs for data transfer across regions, though.
In this paper, you’ll find an alternative in a distributed cloud architecture, the benefits of which include:
Reduced latency, with services closer to the service-recipient companies.
Simpler data governance and regulatory compliance with data in regulated on-premises data centers.
A smaller area of communication with data processing on local edge locations versus a central cloud.
Scalability and resilience.
We'll explore distributed IoT applications with cloud benefits, architectures, tools, best practices, and solution accelerators you can use to improve your organization's IoT applications strategy.