After an “extended holiday season” (which for me included spending a vacation in Siberia and then desperately trying to get back into shape) it’s finally time to resume blogging. And the topic for today is the cloud platform for IoT services from AWS, which went out of beta in December. Ok, I know it’s been a month already, but better late than never, right?
As already mentioned earlier, the very definition of the Internet of Things is way too blanket and people tend to combine many different types of devices under this term. So, if your idea of the Internet of Things means controlling your thermostat or your car from your mobile phone, the new service from AWS is probably not what you need. If, however, your IoT includes thousands or even millions of sensors generating massive amounts of data which needs to be collected, processed by complex rules and finally stored somewhere, then look no further, especially if you already have your backend services in the AWS cloud.
In fact, with AWS being the largest cloud provider, it’s safe to assume that its backend services have already been used for quite a few IoT projects. However, until now they would have to rely on third-party middleware for connecting their “things” to AWS services. Now the company has closed the gap by offering their own managed platform for interacting with IoT devices and processing data collected from them. Typically for AWS, their solution follows the no-frills, no-nonsense approach, offering native integrations with their existing services, a rich set of SDKs and development tools and aggressive pricing. In addition, they are bringing in a number of hardware vendors with starter kits that can help quickly implement a prototype for your new IoT project. And, of course, with the amount of computing resources at hand, they can safely claim to be able to manage billions of devices and trillions of messages.
The main components of the new platform are the following:
The Device Gateway supports low-latency bi-directional communications between IoT devices and cloud backends. AWS provides support for both standard HTTP and much more resource-efficient MQTT messaging protocols, both secured by TLS. Strong authentication and fine-grained authorization are provided by familiar AWS IAM services, with a number of simplified APIs available.
The Device Registry keeps track of all devices currently or potentially connected to the AWS IoT infrastructure. It provides various management functions like support and maintenance or firmware distribution. Besides that, the registry maintains Device Shadows – virtual representations of IoT devices, which may be only intermittently connected to the Internet. This functionality allows cloud and mobile apps to access all devices using a universal API, masking all the underlying communication and connectivity issues.
The Rules Engine enables continuous processing of data sent by IoT devices. It supports a large number of rules for filtering and routing the data to AWS services like Lambda, DynamoDB or S3 for processing, analytics and storage. It can also apply various transformations on the fly, including math, string, crypto and other operations or even call external API endpoints.
A number of SDKs are provided including a C SDK for embedded systems, a node.js SDK for Linux, an Arduino library and mobile SDKs for iOS and Android. Combined with a number of “official” hardware kits available to play with, this ensures that developers can quickly start working on an IoT project of almost any kind.
Obviously, one has to mention that Amazon isn’t the first cloud provider to offer an IoT solution – Microsoft has announced their Azure IoT Suite earlier in 2015 and IBM has their own Internet of Things Foundation program. However, each vendor has a unique approach towards addressing various IoT integration issues. The new solution from AWS, with a strong focus on existing standard protocols and unique features like device shadows, not just looks compelling to existing AWS customers, but will definitely kickstart quite a few new large-scale IoT projects. On the Amazon cloud, of course.
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