I have a node.js server application that communicates with Iot devices using Azure IoT Hub service.
When I examine the sample code sample code from Azure repository about cloud to device message. I see that one client was created. If there are multiple devices and multiple messages to be sent to multiple devices, is it okay to create multiple Iot hub clients, or should I stick to one client solution. What could be the cons and pros of two approach?
Have a look at the Azure IoT Hub feature for your scenario such as a Schedule and broadcast jobs. This feature enables a cloud back-end to schedule and update millions of devices based on your needs.
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I want to implement the following system.
There are users and each user will have an IoT device. The user should be able to do the following:
Login with their email and password.
Control the IoT device in real time (the user will perform some operation on the IoT device and the result will be displayed instantly on the app).
See the state of IoT device in real time. If something changes on the IoT device it should reflect on the app in real time.
I was wondering if this is doable using azure IoT Hub. I came across an architecture where the device is connected to IoT hub and the app is connected to signalR. The messages from IoT device will go to IoT Hub which will update the app using signalR.
But is there any way we can not have additional component like signalR? Can IoT device and mobile app be connected directly to azure IoT hub and exchange data between them without an entity in between other than IoT hub?
Connecting mobile app to IoT hub seems like an option but I did not find any way to implement email and password based authentication to allow users to connect to IoT hub.
Any help in this regard is appreciated.
You could absolutely go without SignalR. You can use the IoT Hub Service SDK to send C2D messages to your device from your phone, and also listen to the device telemetry with the same SDK.
However, it would probably be a better idea to have some restrictions on what you can do with that SDK. If the user first has to log in, I take it that they don't get access to every device in your application? Using some kind of role-based access might be preferable, you would build an API for that, which then uses the Service SDK to give you the data.
Also, even though you could listen to the device data directly from your phone, that means that if you have bad reception/wifi, data might not be received. You might want to consider storing it somewhere? I don't know the details about your application, but if you would then want to listen to events from that storage and send it to your app... SignalR might not be the worst idea.
"See the state of IoT device in real time. If something changes on the IoT device it should reflect on the app in real time."
For this EventGrid integration (https://learn.microsoft.com/en-us/azure/iot-hub/iot-hub-event-grid ) would help. For realtime telemetry as Matthijs said SignalR would be a better choice.If you are fine with some delay (say 10 sec) then Azure Time Series Insights can also be used.
Right now, on IoT Hub there is an information that limit for messages per day 8000. I would like to ask you about any patterns which are being used in Azure.
I am curious if I am able to hit to Azure with some service outside Messages in order to prevent it from being overloaded by big amount of data, or save some confidentiality for this service.
For example, I would like to store some data from given service to Messages that are not being confidential and other data by using some WebSocket or any Rest protocol. I think that there are some patterns that serve that scenarios.
Does anyone has experience with that kind of situation?
Not everything needs to go through IoT Hub. IoT Hub is great for two way communication to/from IoT devices. You could also look at Event Hubs for ingestion from devices that don't need two way comms. We have a write up on the differences here Connecting IoT Devices to Azure: IoT Hub and Event Hubs.
So, I am working on an IoT solution on Azure, we have been using a partner solution where we had the partner's devices linked to his cloud solution that exposes the data to us Via REST services. Right now we want to have our own IoT Cloud Solution on Azure.
At first, I am planning to build a Bridge between our IoT Solution and the partner's cloud solution via its REST Services that will link to our IoT Hub in order to ingest the data to our cloud.
Also, the data will not be only telemetry data but we'll have to send commands as well to those devices.
My question: I would like to know what would be the appropriate technology/solution to use a gateway (Data Grid, Azure Function, Azure WebJob)
The numbers in the picture represent the step that I am considering to tackle this problem.
1- First we are implementing an Application gateway that will have to get the data from the partner's system and sending commands to their system. It will allow us to first build the other components of our system and make sure that it can handle what is in place right now.
2- Second, the partner's devices will connect directly to a device gateway that is connected to our IoT Hub. In this case, we will not be using the gateway made in 1 anymore.
3- Finally, we will have our own devices connected to our IoT Hub, the partner's devices will always be connected to our IoT Hub via the gateway built in 2.
Let me try to answer your questions in the order you have asked.
For application gateway, where you are trying to pull data through
REST, you can use Azure functions and then you use Cosmos DB or any
storage to save data. I see , after getting device data from Partner
network, you are routing it to IoT-Hub (I would not say, its
incorrect), however once we pull data through Rest, we can directly
put into DB. So my Answer is to use Azure functions to pull data
from Partner solutions and put into DB.
If partner device is capable of running Azure IoT sdks or can be
provisioned to send data to IoT Hub directly, this will ease lot of
things and you would be able to send D2C and C2D messages easily.
further, here you can route data to DB by using configuration from
IoT Hub.
For your devices you can use IoT Hub Directly or can use Azure
IoT Edge (device gateway as you pointed ), both are fine , depends
on use case and also if we want to do some edge computation or
analytics at device side. And one important suggestions, use Azure
functions where ever you find that you have to integrate devices
data through Rest. Most cost effective in such scenarios.
Let me know if it clears your doubts.
After some time working on the subject, I did implement an AZURE Function app for the following reasons :
Supports Continuous Deployment and Integration Even though Azure Functions is serverless architecture, it still supports Continuous Deployment and Continuous Integration
Capabilities for implementing code - Being event-driven, the application platform has capabilities to implement code triggered by events occurring in any third-party service or on-premise system.
Compute-on-demand: This delivery model ensures that computing resources are available to the users as per their demand.
I have also used Azure Table Storage as database storage technology.
I was using ThingSpeak for an IoT project. I've decided to move on with Azure IoT. My project consists Raspberry Pi 3's sending data to an IoT platform using MQTT protocol which will be displayed over mobile app.
While using ThingSpeak, things were easier. I was sending data to IoT platform, ThingSpeak was storing them without me configuring almost anything and mobile app that I wrote was sending HTTP request to IoT platform with an interval. Then, I was parsing JSON response on mobile app to display important values in real time.
So far I've managed to send datas to IoT hub using Azure IoT C SDK. However I am very confused about how I am going to implement these on Azure IoT, what my workflow should be like.
Azure IoT Hub ingests data from your devices into the cloud and then delivers that data to other destinations for storage or processing. By default, IoT Hub delivers data from devices to an Event Hubs compatible end point (these Quickstarts illustrate this process: https://learn.microsoft.com/azure/iot-hub/quickstart-send-telemetry-node). IoT Hub can also use routing rules to send data to other locations, such as storage or a Service Bus queue. The following tutorial illustrates these options for you: https://learn.microsoft.com/azure/iot-hub/tutorial-routing.
In my case I have 1000+ of devices that stores activity inside. I need to send a http get request to this device to get those data in csv or json format and save it in a storage hosted on azure.
Cab IOT hub require data using get request and can it be scheduled to read daily/weekly?
What other azure services would you suggest to facilitated this scheduled reads?
You have not mentioned which the Azure IoT Hub scale tier is used. Basically there are two price groups such as Basic and Standard with a significant different cost and capabilities. The Basic tier offers only services for one-way communications between the devices and Azure IoT Hub.
Based on that, the following scenarios can be used for your business case:
1. Basic Tier (non event-driven solution)
The device pushs periodicaly a telementry and non-telemetry messages based on the needs to the Azure IoT Hub, where the non-telemetry messages are routed to the Azure Function via the Service Bus Queue/Topic. Responsibility for this non-telemetry pipe is to persist a real device state in the database. Note, that the 6M messages will cost only $50/month. The back-end application can any time to query this database for devices state.
2. Standard Tier (event-driven solution) In this scenario you can use a Device Twin of the Azure IoT Hub to enable storing a real-device state in the cloud-backend (described by #HelenLo). The device can be triggered by C2D message, changing a desired property, invoking a method or based on the device edge trigger to the action for updating a state (reported properties).
The Azure IoT Hub has a capabilities to run your scheduled jobs for multiple devices.
In this solution, the back-end application can call any time a job for ExportDevicesAsync to the blob storage, see more details here. Note, that the 6M messages will cost $250/month.
As you can see the above each scenario needs to build a different device logic model based on the communications capabilities between the devices and Azure IoT Hub and back. Note, there are some limitations for these communications, see more details here.
You can consider using Device Twin of IoT Hub
https://learn.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-device-twins
Use device twins to:
Store device-specific metadata in the cloud. For example, the deployment location of a vending machine.
Report current state information such as available capabilities and conditions from your device app. For example, a device is connected to your IoT hub over cellular or WiFi.
Synchronize the state of long-running workflows between device app and back-end app. For example, when the solution back end specifies the new firmware version to install, and the device app reports the various stages of the update process.
Query your device metadata, configuration, or state.
IoT Hub provides you with the ability to connect your devices over various protocols. Preferred protocols are messaging protocols, such as MQTT or AMQP, but HTTPS is also supported. Using IoT hub, you do not request data from the device, though. The device will send the data to the IoT Hub. You have to options to implement that with IoT Hub:
The device connects to the IoT Hub whenever it has some data to be sent, and pushes the data up to IoT Hub
The device does not send any data on its own, but stays always or at least regularly connected to IoT Hub. You then can send a cloud to device message over IoT Hub to the device, requesting the data to be sent. The device then sends the data the same way it would in the first option.
When the data then has been sent to IoT Hub, you need to push it somewhere where it is persistently stored - IoT Hub only keeps messages for 1 day by default. Options for this are:
Create a blob storage account and push to that directly from IoT Hub using a custom endpoint This would probably be the easiest and cheapest. Dependening on how you need to access your data, a blob might not be the best option, though
Create a function app, create a function with an EventHubTrigger, connect it to IoT Hub and let the function process incoming data by outputting it into any kind of data sink, such as SQL, CosmosDB, Table Storage...