How are AWS IOT Jobs different to Topic subscription? - amazon-web-services

In AWS IOT we can make device subscribe to a topic. When a message is received on a topic, the device can be programmed to execute some code.
AWS IOT Jobs seems similar in that the device listens on the job and executes certain code when job is received.
How are AWS IOT Jobs different to Topic subscription?

The primary purpose of jobs is to notify devices of a software or
firmware update.
AWS IOT Job Doc
AWS IOT Events activities (like subscribing to a topic) would be the generic implementation for doing stuff when a device gets a message. IOT jobs are more of a managed workflow for doing a specific activity- like notifying devices of a firmware update and using CodeSigning.

Just want to add an important point to what #Bobshark wrote.
Yes, Amazon engineers implemented a set of endpoints to manage a whole job lifecycle on a single device and the process of gradually rolling out jobs over a fleet of devices.
However, IoT jobs are not tied down to using MQTT as the transport protocol. As the AWS docs [1] mention:
Devices can communicate with the AWS IoT Jobs service through these methods:
MQTT
HTTP Signature Version 4
HTTP TLS
My personal advice: Use jobs if you would have to implement your own update procedure (such as progress reporting, gradual rollouts, etc.) otherwise.
[1] https://docs.aws.amazon.com/iot/latest/developerguide/jobs-devices.html

Related

AWS IoT Device online/offline check

I am currently working on an IoT device using AWS IoT core. I am new to working with IoT device. What is the standard/best way for determining whether the device is online and connected to the internet?
Thanks you!
Since you have been using AWS IoT Core, I would recommend that you stay in fully managed services provided by AWS IoT suite. No need to reinvent the wheel such as provisioning a separate database for a basic requirement of pretty much every IoT-enabled solution.
What I understand is that you want to monitor your IoT device fleets for state changes or failures in operation, and to trigger actions when such events occur. To address this challenge, I'd suggest using AWS IoT Events. It accepts inputs from many different IoT telemetry data sources including smart sensors, edge devices, management applications, and other AWS IoT services. You can easily push any telemetry data input to AWS IoT Events by using a standard API interface.
In specific to device heartbeat, please take a look at this sample detector model. A detector model simply represents your equipment or process. On the console, you can find some other pre-made detector model templates which you can customize based on your use-case.
One way to know if a device is online is to check for a heartbeat.
A device heartbeat is a small mqtt message to a topic that the device sends every 5 minutes.
In IoT Core, you would configure a rule that would update a Dynamodb table with a timestamp each time a message is sent to the heartbeat topic.
By checking this timestamp in Dynamodb, you can confirm if your device is currently online.
You can follow this Developer Guide to get connect disconnect events. it works on MQTT topics so we can use rules to trigger Lambda or other services.

AWS IoT scaling issues and metrics for monitoring IoT

I am using AWS IoT Service.
When a device sends a registration message to MQTT broker, I have a rule to store it in a SQS queue.
A Lambda function is triggered, when the message is added to the Queue. The Thing is created for the device and it's certificate is registered.
While carrying out the load testing, I observed that, after some time, the incoming messages are not received on the AWS MQTT broker and are not processed.
I have written some test clients which run on EC2 instances to simulate the MQTT clients.
If I restart the test clients after some time, again I can see the messages coming to AWS IoT.
I am not sure, if this is the issue of MQTT broker or if it is the issue with the clients running on EC2 instances.
I can think of possible issues because of limits on AWS IoT ,
https://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html#limits_iot
I want to know what are the possible AWS IoT matrices, I need to monitor for this or which IoT specific alarms I need to configure?
Is it a possible issue on EC2 side? ( maybe network out bytes per second, etc.)
There is another load testing scenario, in which I am not doing registration of devices, but just capturing the connect or disconnect events. In this case, I am not observing similar issues.
As you know, there is some limits about AWS IoT.
API Transactions per Second
CreateCertificateFromCsr 15
CreateDynamicThingGroup 5
CreateJob 10
CreatePolicy 10
CreatePolicyVersion 10
CreateRoleAlias 10
CreateThing 15
Generally, AWS API throws Exception when it run over limts.
How about catch Exception?
If you want to check EC2 network issue, use some command ( netstat, tcpdump, ... )

What is the difference between Jobs and Messages in AWS IoT?

Jobs and Messages are both just transactions of text between AWS IoT service and devices.
Why should I use jobs than messages or the other way around?
They are transaction but they have their differences
Messages - The AWS IoT message broker is a publish/subscribe broker service that enables the sending and receiving of messages to
and from AWS IoT. The act of sending the message is referred to as
publishing. The act of registering to receive messages for a topic
filter is referred to as subscribing.
Example - When communicating with AWS IoT, a client sends a message addressed to a topic like Sensor/temp/room1. The message broker, in turn, sends the message to all clients that have registered to receive messages for that topic.
Jobs - AWS IoT jobs can be used to define a set of remote operations that are sent to and executed on one or more devices
connected to AWS IoT.
Example - you can define a job that instructs a set of devices to download and install application or firmware updates, reboot, rotate certificates, or perform remote troubleshooting operations.
To use Jobs or Messages is up to your requirements. If you want to update a set of devices Jobs seems to do the work, or its just one device message will do.

Aws IoT : How to use an application service on EC2?

I'd like to use AWS IoT to manage a grid of devices. Data by device must be sent to a queue service (RabbitMQ) hosted on an EC2 instance that is the starting point for a real time control application. I read how to make a rule to write data to other Service: Here
However there isn't an example for EC2. Using the AWS IoT service, how can I connect to a service on EC2?
Edit:
I have a real time application developed with storm that consume data from RabbitMQ and puts the result of computation in another RabbitMQ queue. RabbitMQ and storm are on EC2. I have devices producing data and connected to IoT. Data produced by devices must be redirected to the queue on EC2 that is the starting point of my application.
I'm sorry if I was not clear.
The AWS IoT supports pushing the data directly to other AWS services. As you have probably figured out by now publishing to third party APIs isn't directly supported.
From the choices AWS offers Lambda, SQS, SNS and Kinesis would probably work best for you.
With Lambda you could directly forward the incoming message using the one of Rabbit MQs APIs.
With SQS you would put it into an AWS queue first and than poll this queue transfering it to RabbitMQ.
Kinesis would allow more sophisticated processing, but is probably too complex.
I suggest you program a Lamba with the programming language of your choice using one of the numerous RabbitMQ APIs.

AWS, Shared subscription behaviour capability of AWS MQTT broker

I'm exploring AWS IoT MQTT broker capabilities for my future use and I'm trying to figure out if AWS MQTT broker supports "shared subscriptions" functionality.
Shared subscriptions, relatively new functionality, introduced by IBM MessageSight. Represents "queue" or "p2p" behavior when multiple subscribers with same clientID can be connected/subscribed to the same topic and only one subscriber instance (load is balancing automatically) receives particular message. Against of pub/sub topic model, when all subscribers receive copies, this is very convenient to use in software architecture as we don't need to use one more "player" message queue to distribute load between parallel application instances.
In case if IoT, messages published by devices can be consumed by several application instances, working in parallel, to distribute load between them.
AWS IoT does not support Shared subscriptions but there is feature request. So we could expect it (soon).
https://forums.aws.amazon.com/thread.jspa?messageID=757689
Spent time on documentation and yes, unfortunately, AWS IoT MQTT does not support shared subscriptions at this point of time.