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Join this live session with Stephen Simon ft. Saravanan Ganesan for the next episode of A Dash of .NET - live show on March 14, at 09:30 AM (PST).
In this episode, we'll delve into the intersection of .NET technologies and Internet of Things (IoT) applications. Discover how .NET frameworks empower developers to create scalable and efficient IoT solutions, from device connectivity to data processing, revolutionizing the way we interact with connected devices. Don't miss this opportunity to explore the vast possibilities of .NET in the IoT landscape!
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0:00
Hi everyone and welcome to a new episode of AdashApp.net
0:03
And if you are a C-Sharp developer, which we assume you are, and if you want to get into the field of IoT
0:08
then this episode is definitely made for you. We are joined by Sravanan, who is a C-Sharp Content MVP
0:14
a community rockstar you can find in speaking at conferences, meetups, and in writing blogs and whatnot
0:20
And today he's going to talk about on how you can get into the field of IoT if you come from a C-Sharp or .NET background
0:26
Hi Sravanan, welcome to AdashApp.net. Yeah, hi Sravanan, good evening. It's great to be a part of this show
0:34
And thank you for giving me this opportunity. Yeah, thanks Sravanan. Yeah, once again
0:39
Thanks to you. Yeah, we are always happy to host you whenever
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I know you have a busy schedule, so whenever you have time, we cannot just wait to host you
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And this is a very exciting topic, not just for me, and I think for everyone, because IoT is very exciting in itself
0:52
And for a .NET developer who would like to get into the IoT, I believe this is a session that everyone should watch
0:58
So I'm not gonna take much of your time. The moment you get into your slides
1:03
I'll add it to the screen and then you can get started. Yeah, sure
1:09
Is it visible? Yes, it is. Yes, it's visible. Okay
1:23
Can I go ahead? Yeah, yeah, it's visible, Sravanan. Yeah, good evening, everyone
1:32
Today we are going to see about how we can use .NET in our IoT applications
1:37
And before starting, I need to thank Taiman and Srisha for giving me this wonderful opportunity
1:42
to share this session with you all. So why I'm using this topic means actually
1:47
whenever I go for a session or whenever I want to take some things into
1:52
data-driven IoT, people, first of all, will ask me what makes me an IoT developer
1:57
I pick programming language I need to choose, actually. So this session will be for them, actually
2:03
who really wants to know which kind of programming language they want to choose from in IoT
2:08
and actually, and they want to know the, which kind of frameworks they need to use it
2:16
if they are a .NET developer who are going to work in an IoT project sector
2:21
And I guess that this session will be really useful for them. So on this basis, I have been choosing this topic
2:27
to give some tips and an idea for the persons who wants to know what are the libraries
2:38
and what are the frameworks available in .NET which will be useful for IoT applications
2:46
So if you see here about me, I am Sravanan Ganesan, and I'm having around 10 plus years of experience in IoT
2:55
and I'm currently working as an assistant consultant in IoT data consulting system in system AI
3:01
I have been, if you want to know about my pre-shopped .NET profile
3:07
actually, you can be able to see here. So I am having around the
3:14
like, just a minute. This is my pre-shopped .NET profile that I have been trying to do since I was 92
3:22
I have been written around 30 articles and 10 blogs which is related to Azure .NET
3:28
and a lot of things and other stuff, such that I'm proud to be always a part of
3:32
the pre-shopped .NET community and being one person among the pre-shopped .NET family
3:37
as well. So this is about myself, and I have been marking my LinkedIn profile
3:44
as well in this slide. So if you want, at the end of this session
3:48
I'll be showing the same. You can connect me and you can have
3:53
if you want any cloud application related to .NET, frameworks, you want to build a mobile application
3:57
you can make yourself. Yeah. So today's topic. How I can do it, actually, in the Internet of Things
4:05
If I actually, if I have a simple board and I have a sensor that I can attach to it
4:11
how I can program it and how I can send the data to my cloud platform
4:16
which I've been using either AWS or Azure or something, actually. So from my point of view, actually
4:21
if you see, if you're doing it for a new, you're a .NET developer, actually, it's been my suggestion
4:27
for an alternative applications, please go ahead with using .NET as a pre-shopped programmer
4:32
you can go ahead with the Azure IoT services platform. So what is really important for IoT needs, actually
4:40
can be QSM. We can be able to build an IoT apps, which is a pre-shopped and .NET
4:45
which is learning on some single board computers, like Raspberry Pi, Hummingbird
4:51
Google Chrome, TinyHT64, and many more, actually. And so, so that the libraries and the frameworks
4:57
which are mobile, so this is a main important point to note on here, we can be able to interact with the specialized hardware
5:03
such as sensors, the AMD Visual Converter, CNCD devices, NIC2C communication devices, et cetera
5:09
So next slide, actually, if you're going to see, it's kind of a spread line
5:14
which describes about what are the .NET IoT libraries we have, and we have some two more
5:22
I have also been, I have chosen a framework called Nano Framework
5:26
that is being used, it's a free and local source platform that is used to write
5:33
these pre-shopping applications for number of devices. And also we chose one
5:40
IoT platform called Nido, that it can be able to send the data from
5:46
.NET to .NET-based applications to this IoT platform, which is fully designed for our industrial IoT
5:55
So this is about the different types of .NET IoT libraries, and it's a glimpse about it
6:01
that have been given here, we are in .NET IoT library, and the framework which we can be used
6:08
on the IoT platform to be really compatible with the pre-shopped .NET programming language
6:15
and the framework, actually. So if you see here, yeah, first of all, I'm going to discuss
6:22
regarding the .NET IoT libraries, actually, which will be, what's the purpose of using this .NET IoT libraries
6:28
in fact, these two libraries can be able to build apps, which are quickly
6:33
which can be done on the IoT devices, and the other hundreds of sensors
6:39
displays, and input devices, that which have been used in TPIO, SPIO
6:44
to see PWM and say for communication back. And also this .NET IoT libraries
6:51
which are all, which is a open source IoT library, can be leveraged to
6:57
for the full support of temperature and humidity sensors, and also it can be used for
7:01
a lot of IT models, gas sensors as well. So these are about the .NET IoT libraries
7:07
and this is about two libraries, we have system.device.tpio, and IoT.device.tindex. What is the purpose of these two libraries here
7:18
which I have been mentioning here, means actually it supports various protocols, for interacting low level hardware
7:23
things to control devices. For example, if you take your, in Raspberry Pi
7:28
you can see some GPIO pins, which have been attached, that you need to fix your sensors actually
7:35
So to communicate with this, we will use the, I can see you
7:40
I can show you, so it will be easy for you guys. So these are GPIO pins actually
7:46
which will be used to take the data by means of, take the data from these sensors
7:54
that are connected to it. So this IoT, this library system.device.tpio can be able to interact with these IOTs
8:06
and also to the inter-integrated circuits, and the serial peripheral interfaces, SPI
8:11
and serial port as well, to establish a communication, between those low level hardware pins
8:18
we have a .NET programming. And next one is called IoT.device.tindex, actually
8:26
So if you see here, what is this IoT.device.bindings actually, it will be used to streamline your lab development
8:33
by adapting the, this device.tpio, for example, this IoT.device.bindings will be used as a wrapper
8:42
above your code, to make the support, or make the methods of this GPIO pins
8:49
to be compressed into it actually. So, what are some of the device bindings
8:54
we can include here in this, we can make use of this RGB LED matrix
8:58
and LCD type displays, of two most commonly used device bindings, we have been used in the
9:04
which can be made use of this IoT.device.bindings, on library, that we have
9:10
which can be used in a stretch of the .NET code, to leverage the functionalities
9:16
from it actually. So next we are going to see about nanoprimers, nanoprimers is nothing but
9:21
it's the kind of framework, that we can use, C-Sharp programming to take place
9:27
in your system actually. So, yeah, first of all, you see actually
9:31
it's free to use, open source, and it is easy to build
9:36
and moreover, it's really easy, it's a certified hardware, and it also makes your Azure IoT library integration easy
9:44
and to send the data from your devices, which runs on nano-primer
9:50
to the Azure IoT Cloud actually. Okay, so these things actually, if you see
9:57
if you have a minimum, or also if you have a good C-Sharp knowledge actually
10:01
so we can make use of this framework, to be able to take it, it can be taken on any number of boards
10:08
like Raspberry Pi, or we will be able to take those things
10:13
then you can send those codes, to the Azure IoT Cloud services
10:19
So next I'm going to tell about Nido. What is Nido? Nido is a kind of a simple IoT platform
10:25
which runs actually, completely on .NET standard applications, on number of microcontrollers
10:32
So if you're running any, actually, any IoT-based C-Sharp .NET applications
10:41
in your low-level reports actually, so what it will do is, it will build, connect, and deploy
10:48
So if I am, it will name, it used to put dotted platform
10:52
and two links, just like Raspberry Pi, hardware device, to paint the screen, in IoT solution
10:56
This platform, what it will do, it will connect to your device, and it will be
11:00
it helps to build your code, and connect the code, your code to your Wi-Fi or internet
11:07
and to send the sensor data, to your cloud directly, and it also used to deploy the code
11:12
which have been built actually, in a previous state. So for these purposes
11:17
without any, actually, with some minimal knowledge, actually, if you are taking some codes
11:22
in a single-board computer, or microcontrollers, actually, it can be used to build it
11:30
and connect and deploy it, to your particular platform, and solution. So this is about
11:37
the types of, the, things which are related to .NET, I want to show
11:44
And then, then these things, the trainings are very much important, in building your C Sharp .NET based applications
11:53
as well. And see, if you see, yeah, first of all, these are some of the tutorials
11:59
we have to learn .NET, because, first of all, if you are very good in C Sharp programming
12:04
and understanding about the .NET frameworks, it will be very useful for you guys, to come up in this
12:08
and to, put some interactive code, with your single-board computers, and microcontrollers
12:14
by making use of this, IOT libraries, and these things like, more than actually
12:22
the IOT platform, and the nano-frameworks as well. So, these very things
12:28
we can be able to do, by means of using the .NET framework. So
12:33
in that actually, these makers of, basically, C Sharp programming language. So, yeah. So
12:41
if you see here, the .NET code samples, actually we have some
12:47
pretty cool, GitHub, the repositories of that, where we can get this .NET
12:54
it's basic .NET IOT code samples, to build your some, some actually, the
13:03
cool IOT projects, taking this, temperature sensor data, by which is, just
13:09
just connected to your, Glass 3.5, like that actually. So, if you see actually
13:14
I have been, going to show a small demo, actually, and this is a
13:18
set up of demo, that in this, in this Glass 3.5 actually
13:22
we have been connected to one LED, and actually we have been connected to a
13:26
DMC238 sensor, that it will be, sending a temperature and humidity data
13:31
in your room to these, what they'll actually have in Glass 3.5. So
13:39
this is a demo we are going to see now actually, if you see here, if I take it here
13:50
yeah. It take to this, code samples, which I will have here
13:55
this is the, example I have been speaking about, that actually in this Glass 3.5
14:00
we are going to, I am using, the dotnet for IoT as well
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we'll be sending a data to Azure IoT app, and Azure cloud storage for some, these
14:10
storages actually. So, for this prerequisite, we've been, getting a device registration certificate
14:17
in our, which can be used to authenticate, if you are in IoT app, just there in
14:23
Azure cloud, and also if you see actually, we will be having the, DMC280 temperature pressure sensor
14:28
and in Glass 3.5 as well actually. Okay. So once, these are the
14:34
prerequisite hardware we require, and these are the prerequisite packages, that have been filling
14:38
they're actually, IoT.device.binding. for device bindings, and system that do is, a GPU library
14:44
to interact with your GPUs, and Microsoft Azure device, that client is
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it's a kind of package, which have been used to send the data, from your, Glass 3.5
14:52
to your, Azure IoT app, and just there in, Azure cloud platform
14:57
and this is the, pictorial representation, and this is a real representation
15:00
which I've shown in the picture. So once, these are done actually
15:05
we have been, this is a code, format actually, which we have been using it here
15:12
just a minute. So this is a code here actually, that we have been
15:21
using the system.device. and GPIO, and Azure.device.client, and then, these are some of the
15:29
libraries which have been, used for our, reading the sensor values, and this is a
15:37
library which is used to, have a, IPC communication, and then if you see
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in this code actually, we have been written, we have been taking the device ID, from your Azure IoT platform
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and it's an, IoT program, broker address in a sense actually, we've been replacing with the
15:54
IoT app name, which we created in our, the Azure cloud environment
15:59
and these are the things, which have been used in our, which have been used to
16:05
get the data from your, temperature sensor actually. So, once we have done with it
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we have been writing some code here actually, in this method, called
16:17
the main method itself, where actually we have been, setting up the
16:22
setting up the connectivity for our, temperature and, the pressure sensor, and also it has been
16:29
ready to create a, object to authenticate our device as well. So once these things are done
16:35
actually we will be, sending the data to our IoT app client, if your IoT app
16:39
if the, device is not registered, or if the device is not sending any data to
16:45
in IoT client, or you will be designed in IoT client, it will be, failing to create a device client
16:50
but if you keep it, found actually it will be creating a successful
16:54
device client that's been created. So once it is done, the data will be slowly
16:59
yeah, used in the, will be read actually, in from your temperature sensor
17:05
and then it will be sent to an IoT app, actually means of, in the form of data
17:10
by having an encoding of, beauty of it actually. So, this is how actually
17:15
it's a simple program to read the data of your, DLP, to age of just nothing but your, DHT, level
17:23
level temperature, pressure, sensor in advanced version, to send it and so we can also
17:30
on which time, time basically we need to send the data like, a steep time of some different number or something
17:35
they support your, in the requirements. So, this is how, what was this
17:40
the simple demo I wanted to show, actually for your, to go forward with your
17:48
increasing of those, my open libraries to, read the sensor data, using the Raspberry pens
17:57
to send it to an IoT app actually. So, that's it actually
18:01
And I also want to tell actually, what kind of advantages we have
18:05
we are actually using it in our, in this, what are the
18:10
kind of advantages and use cases, by being useful means actually, it's a kind of
18:15
C sharp.net is nothing but it's on, .net core is in open source one
18:19
and it can run on any kind of, platforms, either on windows and Linux
18:24
it's a kind of independent, platform programming language and framework, so that you can make
18:33
we can able to flexibly, make use of this programming language, to be used in your microcontrollers
18:40
and many types of, IoT gateways, and all which is running on both internet and
18:48
in the IoT core, windows 10 and IoT core as well. So
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this is about, and actually the performance wise, we are using a .net based
19:01
C sharp programming means actually, the data, pulling up data from various sensors
19:07
the performance wise, it will be really great, and we can be able to see
19:13
there was not any lagging of data, or any, missing of the libraries
19:18
which have been used, to send the data to the IoT hub as well. So
19:24
in that case, we have a lot of reference documents, for these things to do
19:30
just by using the C sharp .net, and any kind of issues
19:35
if you are in this process, that there is always a support from Microsoft
19:39
to take care of these things actually, and make sure that they should know it actually. So
19:44
that's what from my side, and it's been a great pleasure for me, to present this simple topic to you all guys
19:51
and making aware of that, we can be able to code C sharp
19:56
code in numbering devices, and single book from computers, by Microsoft's C sharp programming language
20:01
and .net framework as well, and we can send those data to our
20:05
any type of IoT platforms, like Azure, et cetera. So, that's it from my side
20:10
and again, thank you so much, Simon and C sharp, for once again
20:14
for giving me this opportunity, to share this information, and then, I'll be handing over the stage to Simon now
20:20
Thank you. Thank you so much, Simon, that was absolutely great, and for anyone who wants to connect with Simon
20:25
you can also find all his details, and all the resources that he has shared in the description
20:29
actually his social handles, so that you can connect with him, and learn more about, he shares a lot of good posts on LinkedIn and Twitter
20:35
and also on his blogs. Thank you so much Simon, once again, and we will see you all
20:39
in the next episode of dash of .net, until then, bye bye
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