Choosing the right platform for creating and managing IoT applications in 2024 is essential for such a demanding system as the Internet of Things. Ideally, the platform should coordinate the network and sensors, support AWS IoT Core, and secure the data flow. Does it seem like we’re asking too much of it?
However, such mature IoT platforms already exist, and Amazon IoT is an excellent example. It provides such extensive functionality that you can create IoT solutions of any complexity and scale. World-famous names such as Siemens, GoPro, and Phillips have already launched their connected products with Amazon IoT Core.
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Amazon Web Services (AWS) grants a comprehensive set of cloud-managed tools that helps businesses grow and succeed. It also involves the AWS IoT platform – specially designed for the Internet of Things.
As stated by Eclipse Foundation, 51.8% of IoT developers prefer AWS IoT for developing applications. AWS IoT presents tools to enable IoT users and programmers to build, configure, and connect IoT systems.
The Amazon Web Services IoT platform is compatible with such common programming languages as C, JavaScript, Java, Python and equipped with software development kits for Android, iOS, and Arduino. In addition, it delivers opportunities for innovation (artificial intelligence, blockchain, machine learning), AWS server storage, and scalability.
Supported by Amazon’s vast cloud ecosystem, AWS IoT can efficiently process trillions of messages and route those messages reliably and securely between AWS endpoints or other devices. Moreover, AWS IoT affords software that integrates devices into IoT-based solutions.
Nowadays, every new industrial or consumer product integrates IoT functionality. Amazon, like other vendors, aims to reach all markets. Smart homes, infrastructure maintenance, industrial applications, and environmental monitoring are just a few sectors that benefit from AWS IoT deployments. Let’s check out use cases of utilizing Amazon AWS IoT:
The company successfully leverages AWS services to gather data on the condition of over 190 million patients worldwide, analyze this data, and share it with medical staff to improve diagnostics.
This consumer robotics company takes to profit from a serverless AWS IoT Core architecture. The AWS IoT implementation helped the company to reduce maintenance costs and diminish the number of management personnel.
That is where AWS IoT services came in handy for precision farming. Bayer Crop Science monitors seed health at different stages by field sensors. The company analyzes this information to optimize the growing environment for increased yields.
This major electronics manufacturer chose AWS IoT to reduce the time it takes to manage its IoT platform. In addition, AWS is the only cloud provider whose IoT services meet the LG ThinQ platform support demands.
Reliability and performance, coupled with IoT data collection capacities, are not the only reasons for integrating AWS with your IoT project. There are others, no less crucial:
The serverless approach lowers the cost of MVP and prototyping and increases the flexibility of the entire IoT application development process. Developers can concentrate on core tasks without worrying about maintaining server stuff.
Amazon introduces a range of powerful analytics tools for analyzing data across the IoT ecosystem. They turn raw data into valuable material for calculations, use various analytics and visualization methods to extract information, and prepare them for machine learning.
IoT security matters, which is why Amazon carefully protects all devices, communications, and customer data. AWS implements a strong authorization, authentication, and encryption level to ensure communications security between the IoT platform and joined devices.
Amazon actively partners with numerous IoT software vendors and device manufacturers. This way, you can be sure that hardware compatibility will not severely constrain your IoT apps.
The AWS IoT permits developers to connect IoT devices and leverage other Amazon web services. That is convenient because you don’t have to switch to another service to add an extra feature.
Amazon proposes a friendly pricing model – you pay for what you utilize. Amazon IoT core pricing is based on connection time, message count, registered devices, and more. There are no default service charges or upfront charges.
Amazon’s platform solves all the problems associated with IoT products and services. That allows enterprises to deliver commercial, industrial, and customer IoT solutions without disrupting infrastructure management. AWS IoT services fall into three categories:
This category comprises software for connecting and controlling IoT devices at the periphery.
This operating system simplifies the programming, deployment, connection, and protection of low-power peripherals (sensors, trackers, etc.). It offers substantial software libraries to link simple devices to more powerful ones on edge and in the cloud.
The service enables peripherals to work locally with the data they create while using the cloud to manage, analyze, and securely store data. AWS IoT Greengrass runs on a wide range of devices, from server-side to Raspberry Pi.
The platform also offers tools for monitoring and maintaining the health and safety of a fleet of devices.
That is an underlying Amazon and IoT service that attaches all connected devices to the Amazon cloud. It is robust enough to handle myriads of device connections and reliably secure messaging and data exchange. If needed, Amazon IoT Core can extend the functionality of your IoT system with extra services like AWS Lambda.
This service guards the devices against tampering or misuse through identification, authentication and authorization, and data encryption. You can configure alerts and report suspicious behavior such as DDoS attacks from a device.
This service registers, monitors, and manages connected IoT devices at any scale through a web application. AWS IoT Device Management is device-independent and OS-agnostic, so you can use it to control anything from connected cars to microcontrollers in other systems.
Amazon IoT eliminates infrastructure requirements by providing an infrastructure-as-a-service solution for enterprises to process and analyze IoT data.
It is a wholly managed service that filters, modify, and enriches streaming IoT data in real-time. It accumulates data in a data warehouse for analysis using the built-in SQL query engine and performs sophisticated analytics such as machine learning inference.
With this AWS solution, you can simplify the gathering and routing multi-format sensor data from equipment scattered over large manufacturing or industrial sites. This service assists you in organizing, managing, and carrying out performance metrics locally by affording software and other on-site computing devices.
That service presents a graphical interface for configuring interactions between web services and devices, enabling you to raise low-power applications swiftly. Devices and services are represented using models – ready-made, reusable components. Models hide basic-level characteristics such as protocols and interfaces and allow easily integrated features in complicated workflows.
This IoT service lets you detect events from sensors and IoT applications and take pre-defined actions before loss or failure occurs. Events are data templates that identify specific circumstances, such as changes to equipment when a belt gets stuck or motion detectors that use motion signals to turn on lights and security cameras.
These are just a few examples of many AWS IoT solutions and products. You can find an extensive pool of software on AWS’s marketplace for other uses as well.
AWS is positioning the IoT Core as the “base for IoT deployment,” as it represents all the infrastructure you need to build and run your IoT projects.
AWS IoT Core is a specialized, feature-rich IoT cloud service that connects devices to AWS services and separate devices, ensures data security and communication, and processes device data.
When AWS IoT Core joins IoT devices to the AWS cloud, each device broadcasts its information to the device’s shadow. The shadow service responds to requests and works with the functionality of the application. This concept makes your enterprise app lightweight and reduces response times to a minimum.
The platform can securely process and route trillions of messages to AWS endpoints and other devices using Amazon Timestream, a managed AWS IoT core database service.
AWS IoT Core does not require a single communication protocol. Your embedded, wearable, and intelligent devices can connect to AWS IoT Core via MQTT, MQTT over WebSockets, or secure HTTPS.
The AWS IoT Core Device Gateway implements secure, low-latency, two-way communications between connected things, mobile apps, and the cloud.
Amazon AWS IoT Core constantly filters and processes data conducted by connected devices. The platform redirects data to different AWS services as needed, such as Lambda, Kinesis, and others. The AWS IoT core endpoint is used to connect to services programmatically.
You can register and track things connected to AWS IoT Core or devices that will join in the future in a dedicated registry. Device shadow permits cloud and mobile apps to request data sent and send commands to devices using AWS IoT core API gateway, enabling the platform to handle interaction with machines. The diagram below depicts a basic Amazon IoT platform architecture.
Before you start working with AWS IoT Services, you need to set up an AWS account. You can skip this stage if you already have an IAM and AWS account.
The first stage of utilizing AWS IoT Core is device registration. In AWS IoT Core, they are called things and can be either physical or logical. In the device registry, you assign your devices to objects in AWS IoT Core. You can register one or many devices at a time. To combine devices and apply the same command simultaneously, you can create groups in the IoT device registry.
After registration, you need to prepare your device for use. To do this, you need three resources:
You can manage your items in the AWS IoT Core registry, where item information is stored as JSON data. AWS IoT Device Management grants you to perform batch updates, monitor deployment speed, set error thresholds, and define steady jobs to automatically update device software so that they always work with the latest version.
You can perform a device reboot and a factory reset to restore the machine to its original settings or fix security issues.
Hopefully, we’ve helped you understand how AWS IoT Core can be useful for your future deployments in our AWS IoT Developer Core Guide. For more information and the necessary AWS IoT documentation, please get in touch with us anytime.
As you can see, there is an excellent reason to hire software development team that prefers to work with AWS. Its impressive IoT infrastructure provides flexibility in terms of cost and choice among many valuable features. A pragmatic approach to security and stability is a decisive argument favoring AWS as an IoT platform provider.
As an experienced IoT software development company, Relevant leverages the power of AWS IoT Core to deliver scalable, secure, and reliable IoT solutions to our customers. Our applications provide a high level of data security, optimal resource management, seamless integration with various Amazon services, fast data processing, and reliable communication with connected devices.
Therefore, please let us know if you want to hire IoT developers with experience developing AWS IoT projects on Ukraine outsourcing or learn more about developing IoT solutions.
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