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DeviceHive 4.0 released

Maxim Ivannikov

The DeviceHive team is super-excited to share some updates we have developed over the last year. We know it’s been a while, but our open-source IoT platform is better than ever because we bring a perfect combination of cloud, customization, convenience, and data management functions.
We are delighted to announce that we have released a new version of DeviceHive. This version brings major improvements that align DeviceHive with the most advanced development environment to unleash your creativity and problem-solving skills.

Main changes

Common

TaskCurrent …

User Interface for Embedded Devices with Modern Web Technologies

Nikolay Khabarov

UI from embedded lib from https://github.com/Nikolay-Kha/GUILib

The user interface is an essential part of any device. A device must communicate with the user through switches, lights, or screens. Devices are usually connected to a PC with a USB cable; software drivers must be installed and special software is necessary to interact with the user. Some devices are built based on regular PC hardware and have their own screens to display data and control functions. In both cases, the software is typically written using complicated languages …

Industry 4.0 Innovations at the Time of Crisis

Maxim Ivannikov

Industry 4.0 Challenges in 2020

The concept of Industry 4.0 refers to the use of smart technologies to make manufacturing less wasteful, more efficient, and more productive. Whether it is to adapt to changing markets, to secure competitive advantage, or to raise the value of a product – innovative manufacturing processes are changing the manufacturing landscape dramatically.

But how do we continue innovating in an ongoing health and economic crisis with significant uncertainty and likely limited resources?

Moving forward with innovations

The strategy …

DeviceHive’s Kinesis plugin

Oleksii Torunov

Introduction

Amazon Kinesis makes it possible to build custom applications that process and analyze streaming data. With Amazon Kinesis, the user can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. The user can access data in real-time, and Kinesis is secure and easy to use. Users can also have multiple Kinesis applications processing the same stream, the throughput of which can scale from megabytes to terabytes per hour.

Amazon Kinesis can …

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