The exponential growth of IoT devices requires low latency and significant data center network throughput. Distributed cloud brings services physically closer to the service-recipient companies and reduces latency substantially.
Organizations often have to confirm that their applications, the infrastructure they depend on, and third-party services are certified compliant. The distributed model allows data to stay in the original location, simplifying data governance and regulatory compliance even more than a hybrid cloud.
Smaller Communication Area
A well-architected distributed IoT cloud enables users to reduce or avoid wide-area communication by using local or private networks for IoT communication and data storage. As a result, it improves overall application security and performance.
With a distributed cloud setup, you have all of the benefits public clouds provide. Your application can be served through an edge on-premises data center or private cloud, accessing the public cloud only when necessary to meet peak demands.
One of the problems with traditional resiliency and disaster recovery strategies on the public cloud or on-premises environment is that testing is tricky and potentially risky.
This is because tests must be carried out on live systems, sometimes at a data center-wide level.
Distributed clouds may use soft failovers with ‘hot swappable’ software and cloud services. Failures can be quickly and repeatedly tested in different ways.
Recommended reading: Living on the Edge - The Metamorphosis of Edge Computing