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This article is a continuation of a series of posts about our project named Portfolio Architectures. A previous post, Portfolio Architecture Examples: Healthcare Collection, begins with a project overview, introduction, and examples of tooling and workshops available for the project. You may want to refer back to that post to gain insight into the background of Portfolio Architectures before reading further.
The collection featured today focuses on edge computing architectures. There are currently five architectures in this collection, and we'll provide a short overview of each, leaving the in-depth exploration as an exercise for the reader.
In a typical enterprise use case, you always start from something small to evaluate the technology and the solution you would like to implement, a so-called “Proof Of Concept” (POC). This very first step is fundamental to understanding technology’s potential and limits, checking the project's feasibility, and estimating the possible Return on Investment (ROI).
This is exactly what we did in the use-case of a people counting solution for a university. This first project phase aimed to identify how the solution's architecture should look and what kind of data insights are relevant to provide.
As an industry, construction is sometimes slow to adopt new innovations from outside of the field.
Recently, however, businesses across the industry seem to be more open to new technology.
IoT is already affecting every segment in industrial, enterprise, health, and consumer products. It is important to understand the impact, as well as why these disparate industries will be forced to change in the ways they build products and provide services.
There is an opinion that the impact of IoT-related industries, services, and trade will affect 3% (The Route to a Trillion Devices, ARM Ltd 2017) to 4% (The Internet of Things: Mapping Value Beyond the Hype, McKinsey and Company 2015) of global GDP by 2020 (extrapolated). Global GDP for 2016 was $75.64 trillion dollars with an estimate that by 2020 it will rise to $81.5 trillion. That provides a range of value of IoT solutions from $2.4 trillion to about $4.9 trillion.
Real-Time Locating System (RTLS) enables identifying and tracking the location of objects or people in real-time. It is used everywhere in transportation and logistics across industries. A postmodern RTLS requires open architecture and high scalability. This blog post explores the use cases for RTLS, the challenges of existing implementations, and why more and more RTLS implementations rely on Apache Kafka as an open, scalable, and reliable event streaming platform.
RTLS is a key part of many use cases across verticals. Many manufacturing processes and supply chains rely on good real-time information of assets and people. But also, other innovative scenarios could not exist without RTLS. For instance, think about ride-sharing, car-sharing, or food delivery.