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With the exponential increase in the IoT and connected devices, it is difficult to ensure scalability, security, and robustness of these devices. Cloud computing platforms like AWS help enterprises accelerate their development to deployment cycles, enhancing robustness and scalability of the entire IoT solution.

People perceive cloud as a platform only for storage and computing. However, there are many other capabilities that cloud offers with cloud computing, such as application deployment, data transfer, database management, etc. Moreover, with the onset of IoT and connected technologies, the role of cloud computing has expanded even more in terms of enabling communication between devices and providing scalability to applications.

How Cloud Computing Helps in IoT Deployment

In today’s time, deploying an IoT solution takes a lot of effort and time, due to the increased number of software applications and hardware integration it requires. Also, when it comes to deploying a new, robust and scalable IoT platform for any industry vertical, it can be very tedious and costly to set up the infrastructure. For example, in a smart factory model, there are many machines and devices to be connected to the cloud. Developing a whole new infrastructure for those Internet of Things applications from the scratch can take up to five to six months’ time in development, deployment, and testing. This prolonged time delay is not appropriate since enterprises need to respond to the market demands quickly, especially when the market competition is too high and when the connected devices and technologies are increasing exponentially. This is where cloud computing plays a crucial role in IoT deployment.

There are several cloud platforms and service providers such as AWS (Amazon Web Services), Azure, and Google Cloud for deploying IoT solutions. Of these, we will focus on the integrating AWS cloud platform in this blog.

Why AWS Cloud Platform

Cloud service platforms like AWS help enterprises accelerate their development cycle from months to a few days and hours, allowing them to build a robust and scalable IoT solution. AWS platform also allows easy and secure on-boarding of billions of devices according to the enterprise’s needs. It is one of the robust platforms for accelerated development, which enables the developers to connect the device to cloud quickly. AWS has recently launched AWS IoT 1-Click that easily triggers the Lambda function for any device to perform a specific action.

AWS is offering various services like cloud computing, machine learning, analytics, storage, IoT platform, security, AR & VR, etc. With AWS, organizations are just paying for the services that they utilize, which provides the benefits of cost reduction and better asset management.

Let us see how an enterprise IoT solution can be leveraged with the AWS IoT platform.

Sensor and Device Connectivity with Edge Analytics

The most important and basic aspect of an IoT solution is to connect all the devices and sensors to the cloud for management and control. Since the development of software and services to connect the devices to the cloud is tedious and time-consuming, AWS IoT Core helps IoT developers with AWS IoT SDK, which allows them to choose SDKs according to their choice of hardware for applications development. These applications help users in managing their IoT devices on air.

  • The AWS IoT SDK supports C, JavaScript, Arduino, Python, iOS, and Android with open source libraries and developer guide, which helps developers with their IoT product development. AWS IoT Core consists of the Device Gateway that allows bidirectional communication between devices and the AWS. The device gateway ensures that the devices are communicating through cloud securely and efficiently in real time. This device gateway supports MQTT, Websockets, and HTTP 1.1. It can also support billions of devices at a time without the infrastructure management.
  • Device gateway also consists of the AWS Greengrass a software agent that runs the computing on the edge for the connected devices. Greengrass consists of the Lambda Function, which allows users to run the rule engines, which are coded for particular events like temperature rise, light intensity, etc. AWS Greengrass also brings the AWS to the devices so that they can perform the local compute on the data when they are already using the cloud for other processes like management and storage. It can also be programmed for transferring only necessary information to the cloud after the local compute has been executed.
  • Greengrass enables the device to cloud data security by encrypting the data. This data can be secured for both local and cloud communications. So, no one can access this data without any authentication. It uses the same security model as AWS IoT Core, which contains the mutual device authentication and authorization and secured cloud connectivity.
  • Organizations can also create the digital twins, also known as Device Shadowing, for their IoT devices in the AWS cloud. In device shadowing, the current state of IoT devices gets replicated in the cloud virtually and this virtual image can be accessed at the time of no internet. This helps in the prediction of the desired future state of a device. IoT Core then compares this desired state with the previously accounted state and can send the command to the device for making up this difference.

Cloud Computing and Storage

The Internet of Things generates a huge data at every moment. The storage and management of this data require a lot of infrastructure deployments and maintenance efforts. AWS provides storage and computing services, which help enterprises in reducing the infrastructure development cost. These services also provide real-time analytics and accessibility of the data at any moment. Also, the developers can access the required data from the cloud without any delay.

  • When we talk about the data management, AWS Kinesis can be considered as a great example of the real-time data streaming and analytics. It continuously analyzes, captures, and stores the huge heterogeneous data (terabytes per hour) that gets generated from the IoT devices or any other resources.
  • After the data has been stored, Amazon EC2 (Elastic Compute Cloud) provides a secure, resizable, compute capacity in the cloud. Its web service interface allows developers to scale their computing requirement with minimal efforts. Users can scale up and down their computing resources according to the requirement and they just have to pay for the resources utilized. Apart from that, AWS also provides data storage services as AWS S3 and Glacier. They both provide 99% durability, comprehensive security and compliance capabilities that can help meet even the most stringent regulatory requirements. Amazon S3 and Glacier both allow running powerful analytics on the data on the rest.
  • For Database management, AWS provides its service called AWS DynamoDB as NoSQL database that can support both key document-based database. Due to the NoSQL database, it enables benefits like ease of development, scalable performance, high availability, and resilience.
  • For data and asset security, AWS has features and services like AWS Identity and Access Management, AWS Key Management Services, and AWS Shield along with the AWS Cloud HSM to enhance the security.

eInfochips (an Arrow company) is an Advanced Consulting Partner for AWS services. We help clients in implementing a highly scalable, reliable, and cost-efficient infrastructure with custom solutions for IoT on the AWS platform. Know more about our AWS services.

 

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