AWS IoT Core Reviews & Insights

Data collection is something that we very much rely on in our company. On top of that, we use a bunch of AWS products such as Lambda, S3, and Sagemaker to collect, gather, process and analyze data. AWS IoT Core helps us stream data collection from multiple points in order to do all that.

End-to-end encryption is an amazing feature because we use IoT to connect to various devices in order to gather data/ stats in real-time. We're able to publish solutions with ease and at a faster rate because of AWS IoT Core. However, its inability to interact with other IoT tools is a big con that I would like them to improve upon.

We developed a solution on Electronic health record as a service and found the need of AWS iot core for subscribing devices for automated notification and messages for updating electronic health records and screening methods. AWS iot core enable us to develop and scale a full stack solution without the need of managing the entire infrastructure. We wish to continue exploring its need in asset management and predictive maintenance solution of medical devices.

AWS iot core is very useful if you need to scale very quickly for managing lots of devices without handling the underlying infrastructure cost. It can enable real time publishing and subscription of devices, monitoring and early stage intervention in case of unexpected issues while developing a full stack solution. However, healthcare scenarios where government intervention is needed should be developed and scaled by following the set of compliance policies of the government and the SLA requirements of the customer. Finally, it is great where you need to do data science research after anonymizing data.

We had a mobile application and with the help of that, we used to connect with IoT devices using Bluetooth and send the data to the elastic cache using a firehose. we were mainly using MQTT for the data transmission from one place to another.

If your app is in the AWS ecosystem and you are using queuing service, then AWS IoT Core is your go-to solution. It is very easy to set up complexity wise and when you are new to the cloud you get a lot of things pre-build or pre-setup done.

AWS IOT core is used to integrate smart locks with mobile for example door lock and case lock. The business requirement is to implement a solution, where- a user should be able to issue a command to the lock, to generate a temporary key for an approved accessor who wants to access it. that temp key is able to open the lock for a specified duration.

AWS IoT is best suited for all scenarios where MQTT connection needs to be established as it provides protections for subscribing to a topic or publishing messages with specific scope and context. AWS IoT core met our business expectations for the implementation smart lock mechanism.
Not sure about scenarios where it is less appropriate, As of now not face any such scenarios.

We were using it to scan BLE signals from devices such as mobile ones and successfully send the data to the Amazon Elastic Cache product for more important use by checking which signal could be used based on certain conditions depending on our business needs.

The complexity could be too much due to the fact of having too many services related to loT being offered It changed the original IBM implementation making the product not easy to use

AWS IoT core helps in collecting, managing data from IoT devices without having to manage the underlying infrastructure and focus on creating better experiences for customers.
The industrial, customer data collected with the help of core had 1 major usecase for us. First was to send service updates to customers based on usage of IoT implemented consumer durable household devices. This lead to timely servicing of devices and increase in revenue for our clients.

AWS IoT core is well suited in usecases where huge amount of data is to be collected and processed without managing the servers internally. It should be adopted by clients dealing with consumer durables, safety products to learn and enhance the products based on customer usage.
Mostly suitable in auto sector to analyse driver behavior and develop products to alarm drivers.

AWS IoT is used to develop and prototype IoT devices. Recently, I have been prototyping an IoT device using a Raspberry Pi, and I decided to choose AWS IoT Core for the cloud solution. Basically it is used by IT departments and the technicians used this to communicate with IoT-based applications. By hosting on the cloud and using AWS, our processes have improved dramatically. Increased speed, reliability, and ease of maintenance. AWS IoT has also helped streamline device management and has allowed more free time for our IT folks. Data analysts of the QA department can now quickly analyze data coming from the sorting machine sensors.

AWS IoT Core provides a good solution for IoT services required for IoT application development and for IoT startup companies. It is very flexible which means it supports almost any type of IoT device which then can be configured to your customer needs. The speed, access, and ease of use are awesome. While there was and is some change management required to make this leap, it is worth it. It might not be a best option for low-end IoT devices.

We use IoT to integrate with on-prem warehouse technologies. It is a scalable system for building a complete solution for smarter device integration, management, observability and monitoring. As a multi-faceted offering with direct integration to other AWS services we are able to solve a wide variety of novel problems that arise for our specific use-cases

FreeRTOS (real-time kernel operating system for embedded devices) is a handy feature. If you care about that you should consider using this product. If you are on a tight budget I would recommend at least having a very clear understanding of the pricing structure before proceeding with this product as the cost structure is not the simplest or clearest and you may end up inadvertently incurring more costs than you initially intended to. This is generally the case with AWS offerings - IoT is no exception

I use IoT Core for one of my clients although it has multiple features but I mostly use Application interaction with connected devices functionality (mobile devices).

I use it mainly for processing data sent from connected devices and it works really well. Biggest challenge I felt was when trying for some other client it's tightly coupled with AWS services.

AWS IoT is used to develop and prototype IoT devices. Recently, I have been prototyping an IoT device using a Raspberry Pi, and I decided to choose AWS IoT Core for the cloud solution. AWS IoT is used by the engineering department only to prototype and connect IoT devices to cloud solutions and perform analytics on the sensor data generated by IoT devices. By using AWS IoT Core, the business does not have to think about separate analytics software and data storage solution for the data generated by the IoT devices. With the use of the AWS IoT Core, we don't have to think about backend solutions and our focus remains on developing a power IoT edge device with less cost.

AWS IoT Core provides a good solution for IoT services required for IoT application development and for IoT startup companies. AWS IoT platform provides special packages for IoT startups, helps them in lowering costs, and caters to all their educational and training needs. AWS IoT platform is integrated with powerful AI and ML analytics so IoT startups can focus more on device development and less on backend solutions. I don't see any scenario where the IoT Core would be less appropriate.