Book Image

Mastering IOT

By : Colin Dow, Perry Lea
Book Image

Mastering IOT

By: Colin Dow, Perry Lea

Overview of this book

The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. We’ll begin our journey with an introduction to Raspberry Pi and quickly jump right into Python programming. We’ll learn all concepts through multiple projects, and then reinforce our learnings by creating an IoT robot car. We’ll examine modern sensor systems and focus on what their power and functionality can bring to our system. We’ll also gain insight into cloud and fog architectures, including the OpenFog standards. The Learning Path will conclude by discussing three forms of prevalent attacks and ways to improve the security of our IoT infrastructure. By the end of this Learning Path, we will have traversed the entire spectrum of technologies needed to build a successful IoT system, and will have the confidence to build, secure, and monitor our IoT infrastructure. This Learning Path includes content from the following Packt products: Internet of Things Programming Projects by Colin Dow Internet of Things for Architects by Perry Lea
Table of Contents (34 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Free Chapter
1
The IoT Story
Index

Part 4 – Fog and edge compute, analytics, and machine learning


At this point, we must consider what to do with the data streaming in from edge nodes into a cloud service. First, we begin by talking about the aspects of cloud architectures such as SaaS, IaaS, and PaaS systems. An architect needs to understand the data flow and typical design of cloud services (what they are and how they are used). We use OpenStack as a model of cloud design and explore the various components from ingestor engines, to data lakes, to analytics engines. Understanding the constraints of cloud architectures is also important to make a good judgment on how a system will deploy and scale. An architect must also understand how latency can affect an IoT system. Alternatively, not everything belongs in the cloud. There is a measurable cost in moving all IoT data to a cloud versus processing it at the edge (edge processing), or extending cloud services downward into an edge router (fog computing). The section dives...