Self-Learn Yourself about IoT in 21 Blogs
We have received many request from friends who are constantly reading our blogs to provide them a complete guide to understand the concepts and learn more about IoT. So here we have come up with our idea “Learn Yourself IoT(Internet of Things) in 21 Blogs”.
We have drilled down various sources and archives to provide a perfect learning path for you to understand and know about IoT. These 21 blogs which will be written over a course of time will be a complete guide for you to understand and work on IoT quickly and efficiently.
We wish you all a Happy New Year 2016 and start the year with rich knowledge. From dataottam we wish you good luck to “ROCK IoT & the New Year 2016”
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Blog 1 – Motivation towards IoT
Best wishes to you this holiday, and Happy New Year, from all of us at dataottam.
Lets get started straight away if you are not familiar with the term IoT then please visit this blog which what do you mean by IoT.
Internet of Things(IoT) or Internet of Everything(IoE) is here and its believed to grow rapidly in a very fast pace. Currently more than 80% of people doesn’t know what IoT is and why it’s going to be a hot cake for the next few years, so by following these 21 blogs you will become much familiar about IoT as well it would help you to choose your career path in this field. IoT is said to add around 10 to 15 trillion to global GDP in the next 20 years providing limitless opportunities to business and society.
So we will be using Amazon AWS to understand IoT. Every things are getting connected to the internet and the amount of information they share is going to be huge. AWS is a fully managed service that allow things to interact with cloud in a safe and secure manner.
Components of AWS IoT
- Things : These are devices of all types can be applications or physical objects. These things will be defined a name, attribute and shadows.
- Thing Shadows: These are virtual cloud based representation of things. They track the state of each connected devices.
- Rule Engine: These Rules use a SQL like engine to transform or filter messages based on expressions that are defined. for this we can use any of the amazons DB like Dynamo.
- Message Broker: Uses MQTT which is a light weight messaging protocol for remote connections and the broker is responsible for distributing messages to the clients. in AWS the message broker can accommodate billion of connections between the things and the cloud applications.
- Device SDK’s : These are various libraries available for individual type of devices for encrypted connections.
- Thing Registry: A unique identity of each thing.
All of these things are configured and setup using the AWS console. In the next blog we will see how these are done and setup our first IoT. There’s lot more to talk about in this area and ill make sure I don’t dump too much nor skip so that its quite easy for you to understand.
As, always please feel free to suggest or comment – firstname.lastname@example.org.