IoT Cloud Solutions

Published: June 30, 2016 3 min. read
Svitla Team
By Svitla Team
IoT
563-gaming2.jpg

 

With the rapid evolution of IoT technology, there is an acute necessity in reliable and effective methods of back-end development for collecting and processing data from the Internet of Things via authorized protocols and HTTP Rest requests. As a solution for this issue, the leading cloud providers have offered their products to the market. Let’s look at the three most important cloud systems for back-end needs of IoT.

Amazon IoT

Using Amazon IoT is, first of all, justified because of its pricing, as AWS IoT counts only the number of messages from devices and does not take extra fees for deliveries to Amazon S3, Amazon DynamoDB, AWS Lambda, Amazon Kinesis, Amazon SNS, and Amazon SQS. Besides, in the trial mode you get 250,000 free messages, which are more than enough for the basic level of IoT system, including supporting MQTT protocol. 

Amazon also gives you a big variety of geographic locations for services all around the world; and provides different tools for working with IoT, including AWS IoT API, AWS SDK, AWS IoT Thing SDK for C, and Command Line Interface (CLI), which is very important for admins of big systems and DevOps. Such popular services as Amazon S3 and Amazon DynamoDB allow to quickly integrate the existing projects within Amazon cloud system.

Internet of Things Development Services Require the Most Reliable Partners Explore how Svitla Systems can bring your IoT vision to life with expertise and innovative solutions. Contact Us

Microsoft IoT

The main advantage of using Microsoft IoT is its simple integration with .NET platform. This gives an opportunity to millions of C#, Managed C++ and other developers to use .NET platform on the fly to work with a large spectrum of Internet devices spending minimum time on learning new API.

On the other hand, the broadcast of this system is ensured by its simple integration with Microsoft Windows IoT, for instance, in such well-known controllers as Raspberry Pi 2, Raspberry Pi 3, Arrow Dragonboard 410c, Minnowboard Max, Arduino Wiring API.

Using Visual Studio, as a primary environment for development, makes it easier to start a project, coding, and deployment into a cloud system. Microsoft Azure Devices as a cloud system working with IoT devices provides a wide range of out-of-the-box solutions for back-end development of IoT systems.

Google IoT

Google Internet of Things (IoT) Solutions, in addition to the basic set of data processing and storing, enables you to work with big data in real time. Google provides programming of the cloud system for IoT with the help of open-source Java-based Cloud Dataflow SDK. Also, there is an interesting model of data processing with Cloud Dataflow. To calculate the fee for a selected IoT solution, Google offers a handy calculator.

Conclusion

The contemporary cloud systems offer rather convenient and comprehensive set of tools for the IoT development. The main providers of the cloud solutions accelerate the IoT and create a great alternative for building IoT systems capable of processing data from a large number of devices.
 

Written by
Svitla Team
563-gaming2.jpg

FAQ

Which cloud platform is popular for IoT?

A few of the most popular cloud platforms for IoT include Amazon AWS IoT, Microsoft Azure IoT, and Google IoT. For instance, there has been a high uptake of AWS IoT because it adopts flexible pricing across different geographies and strong integrations with other related services such as S3, DynamoDB, and Lambda. It runs on the .NET ecosystem and is a Windows-based device, like a Raspberry Pi, that many developers prefer using Microsoft Azure IoT. Firms that have projects requiring real-time big data processing choose Google IoT since its tool Cloud Dataflow supports this type of work.

What are the different types of cloud in IoT?

In IoT, cloud platforms may be classified as infrastructure clouds, which include (among others) those clouds providing flexible storage and data management; platform-oriented clouds providing development environments and SDKs for applications supporting device connection and management; or application-driven clouds offering various ready-to-use solutions in the fields of analytics, monitoring, or real-time data processing. All these types would typically enable or facilitate aspects of device communication, data integration, and intelligent decision-making within IoT ecosystems.

Is AWS IoT free?

AWS IoT has an always-free tier, which includes 250,000 messages. In most standard systems, this easily covers the need for messages. After one has exhausted their free quota, charging will be based on the number of messages exchanged with devices, and there will be no additional charge for data delivery to any of the other integrated Amazon services, such as S3, DynamoDB, or Lambda. This makes it very pocket-friendly for most IoT projects.

How to create an IoT cloud?

Building an IoT cloud means using already available services from cloud providers to manage information gathering, processing, and saving by IoT gadgets. Normally, this involves setting up safe links for talking, working together with databases to keep information stored, and using tools that help analyze data in real time, as well as create applications. These platforms provide full sets of offerings and software development kits (SDKs) supporting the creation of strong back-end systems for developers’ Internet of Things environments.

What are IoT 5 examples?

Five typical examples of the Internet of Things are home devices such as thermostats, lights, and security cameras for easy setup; industrial sensors watching factory machines to keep them working well and for future repairs; connected cars using cloud help for maps and changes; wearable tech like fitness bands and watches sending health info to the cloud; and smart farming tools where sensors watch soil and weather to improve farming steps.