We have seen a dramatic transformation in both life and work in recent years as a result of new technology, from smartphones to the Internet of Things, with the prospect of bringing an additional 20 billion connected things online by 2020, according to Gartner.

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If you haven’t yet heard the term Augmented Reality, it’s likely you are familiar with an application of the technology. Perhaps the best known application is Pokémon Go, the smartphone app that took the world by storm last July and brought AR into the public’s consciousness.

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The Situation

The freight train that is the Internet of Things (IoT) is gaining steam. Machina Research expects the global IoT market to more than quadruple between 2014 and 2024, growing from $900 billion to $4.3 trillion. Within the next eight years, Machina estimates there will be 30 billion connected IoT devices; investment in IoT will be upwards of $1.6 trillion.

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There are a few major trends driving the rapid increase in data traffic on the network. At the top of the list is the Internet of Things (IoT), 5G and the convergence of mobile broadband and media traffic.

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We live in an era of rapidly advancing technology and Big Data. The use of smart phones, tablets and other gadgets is reaching saturation in many markets. About half of the world’s population has access to the internet. The popularity of social networking is spreading; for instance, Facebook has nearly two billion monthly active users.

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AWS IoT provides a managed, multitenant service that enables communication between IoT devices, applications, and the backend. By virtue of being a managed service, IoT platform eases out several deployment and infrastructure monitoring issues. However, it imposes some limits and restrictions on how data can be modeled and the size of device information that can be stored in a “shadow” on AWS IoT 1. Primarily, the restrictions ensure the safety and security of the platform and deployments, and avoid misuse of the platform by a tenant or rogue entity. It is critical to be aware of and understand these restrictions before finalizing the solution architecture as some of them may impact the feasibility of the solution architecture and operating costs.

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