How to Choose Your IoT Platform – Should You Go Open-Source?

How to Choose Your IoT Platform – Should You Go Open-Source?

Igor Ilunin, Head of IoT at DataArt, presents a general overview how to choose the right IoT platform for you. The article highlights the major criteria to consider and evaluate in a custom or open-source IoT platform. Also, it covers math and cost analysis, comparing open-source to serverless IoT platforms. Read the full article here: https://www.iotforall.com/iot-platform-open-source-vs-serverless/.
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IoT, Big Data, 5G and Virtual Reality – all a Reality at the Mobile World Congress 2016

IoT, Big Data, 5G and Virtual Reality – all a Reality at the Mobile World Congress 2016

On 27 February – 2 March, DataArt exhibited with Canonical at Mobile World Congress in Barcelona. The sheer scope of the world’s biggest mobile industry event was mind boggling – 100,000 attendees and 2200 exhibitors spanned nine halls and one dozen outdoor spaces at Fira Gran Via and Fira Montjuïc. DataArt demoed enterprise predictive maintenance IoT solution, enabling preventative, condition-based monitoring of a piece of manufacturing equipment. We used accelerometer-based sensors and an IoT gateway running Snappy Ubuntu Core to capture the vibration profile of a fan and analyzed it in AWS, to determine whether it’s in range of a normally operating equipment, and if not – to trigger a maintenance alert.
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DataArt at MWC 2016

BarcelonaFebruary 22 - 25, 2016 For the second consecutive year DataArt will join Canonical at Mobile World Congress (MWC), the world’s largest gathering for the mobile industry, to demonstrate enterprise IoT solutions, big data, system integration and scalability. DataArt will showcase the following IoT and cloud systems running on top of Canonical’s  Ubuntu Snappy Core and Juju.
  • Software defined infrastructure and CPE
  • Home automation scenarios
  • Industrial automation and predictive maintenance
  • Scalable container-based cloud platform orchestrated by Juju
 For any questions or to schedule a meeting, feel free to contact us. Event details: Date: February 22- 24, (9am – 7pm), 25 (9am – 4pm) Location: Fira Gran Via, Av. Joan Carles I, 64 08908 L’Hospitalet de Llobregat, Barcelona Booth: Hall 3 – 3J30
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Inaugural New York Open Source IoT Summit a Resounding Success

DataArt, in partnership with Microsoft and Canonical, hosted its first annual Open Source IoT Summit in New York City. On November 12, 2015, six dozen technology innovators gathered at Microsoft’s New York Conference Center on Times Square to learn how they can develop their own in-house IoT solutions. DataArt has always been supporting open innovation movement, which is at the heart of new technology development, and our open source IoT device-management platform DeviceHive is a testament to that. DeviceHive runs on Canonical’s Ubuntu, is available on the Microsoft Azure Marketplace and provides the tools to solve any smart manufacturing or smart home challenge in-house, without costly investments in software solutions. At the summit, we showed how DeviceHive accelerates IoT product development, allows for creating a solution prototype in a matter of hours, and then deploying and scaling it to a limitless number of devices or control variables with no additional software or investments requirements. We walked the audience through the design, prototyping, deployment, and scaling up of a predictive maintenance IoT solution, enabling preventative, condition-based monitoring of a piece of manufacturing equipment. We used accelerometer-based sensors and an IoT gateway to capture the vibration profile of a fan and analyzed it in the Microsoft Azure Cloud using Juju, to determine whether it’s in the range of a normally operating equipment, and if not – to trigger a maintenance alert. Continuously monitoring manufacturing environments for hazards and having the option to prompt people (or even machines) to take corrective action to avoid damage or interruption, can significantly reduce manufacturing risks and costs. Device connectivity enables more than just monitoring and predictive maintenance, it ultimately allows for precise control and management of critical assets, automation of tasks and decision-making, and optimization of processes across the manufacturing value chain. That covers R&D, sourcing, production and outbound logistics which helps attain major reductions in waste, energy costs, and human intervention, leading to vast improvement in efficiency. While manufacturing is the area where IoT is an obvious game changer, IoT presents a rich opportunity for all areas of our lives. Examples include a heart monitor implant that alerts care providers of important changes in a patient’s heart condition, a car with built-in sensors that alerts the owner’s phone when tire pressure becomes low or emissions high, or precision farming equipment with wireless links to data from satellites and ground sensors that adjusts the way each part of the field is farmed based on different soil and crop conditions. IoT can be used to build a home automation system that customizes home devices to the habits of its residents, eventually enabling smart cities: monitoring customers’ power usage behavior, managing power demand and supply to optimize city-wide electricity usage, enabling remote monitoring and maintenance of gas pipeline networks, or installing billboards that assess approaching human traffic and change display messages accordingly. Connected devices are here to stay. Embracing the objects’ ability to sense their environment and communicate about it presents unprecedented opportunities and insight across industry sectors and processes. The greatest challenge ahead is learning to convert vast amounts of data into actionable insight, to make sense of complexity and respond to it swiftly, eventually enabling machine learning and minimizing human intervention. DataArt and its partners look forward to continued sharing of our experience with the IoT community. We welcome new partnerships to create value through new Internet-of-Things capabilities.
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Enterprise Developers can’t miss the NY Open Source IoT Summit

Enterprise Developers can’t miss the NY Open Source IoT Summit

Hearing a lot about IoT lately? Want to learn everything from home automation to Industrial IoT? Want to try enterprise IoT solutions yourself? The Open Source IoT Summit is about open source IoT and Azure IoT solutions that anybody can use. Join Microsoft, Ubuntu / Canonical and DataArt to learn all about it and jointly start creating IoT solutions. Learn:
  • How to create and package enterprise IoT apps;
  • Monetizing IoT and selling IoT apps through IoT app stores;
  • IoT security;
  • Easily supporting different IoT standards;
  • How to connect IoT devices to the cloud and use Azure IoT services;
  • Open source tools to easily write and package IoT apps in any language;
  • Learn about DeviceHive, the open source IoT platform that greatly accelerates your IoT product development;
  • How to automatically test changes and roll them out securely in production;
  • Sample Industrial IoT solutions like open source predictive maintenance.
Bring your laptop, some IoT boards / toys / sensors and let’s start making great IoT solutions. Register now, free tickets are limited.
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Open Source IoT Solutions on Azure

Open Source IoT Solutions on Azure

DataArt, the maker of DeviceHive, and Canonical, the maker of Snappy, Ubuntu and Juju, present Open IoT Solutions on Azure Events.

DataArt and Canonical are demonstrating industrial preventive maintenance and home IoT scenarios, that can be prototyped, scaled, and deployed. DataArt’s DeviceHive running on Canonical’s Ubuntu VM, are available on the Microsoft Azure Marketplace, providing accessibility to a flexible IoT platform. New bundled IoT solutions and examples, DeviceHive on Snappy (RPii), Data Analytics stack deployed by Juju, and Microsoft Azure services, will be discussed and demonstrated.

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Ready to visit the event? Find the details here!

The event will take place at Microsoft's New York Conference Center, Central Park East (6th fl, 6501a). November 12, 2015. 1 pm - 5 pm. 11 Times Square, NYC.

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Strata+Hadoop World NYC 2015 Reflections

Machine learning, cloud, visualization, Hadoop, spark, data science, scalability, analytics, terabytes, petabytes, faster, bigger, more secure, simply better. The kind of a merry-go-round that keeps spinning in your head after you spend three days on the exhibit floor at Strata+Hadoop conference. And lots of elephants, of course
Not only did we attend Strata with fellow colleagues from DataArt and DeviceHive, we also helped our friends at Canonical and brought our demo to their booth. Canonical was showing Juju: a cloud infrastructure and service management tool. We brought our favorite demo: industrial equipment monitoring rig. No PowerPoint slides, only real stuff. A Texas Instruments SensorTag’s accelerometer attached to a fan to monitor its vibration. To simulate the vibration we used a piece of duct tape attached to one of the blades to set the whole thing off balance. Sensor data was streamed using DeviceHive, generating time series data, which was aggregated by Spark Streaming and displayed on a nice dashboard. Everything deployed using Juju, working nicely in AWS. While the exhibition floor had a lot of great companies pitching their awesome products, I think the main highlight of this year’s event was Spark. Learning Spark, running Spark, managing Spark, using Spark for this and using Spark for that. Almost everyone, big or small, was talking Spark, integrating it into their solutions or making their data accessible through Spark. In just a few years Spark has proven to be a great platform for data discovery, machine learning and cluster computing in general. Spark ecosystem will keep expanding, changing the way we work with our data, increasing velocity of data-related projects. Next generation analytics tools will surely interface with Spark or rely on Spark, allowing enterprises to push the envelope of what can be derived from their data. Next generation parallel computing tools will bring business, engineers, data scientists and devops closer together. Databricks, a company commercially supporting Spark, was demonstrating their data analytics product which allowed to create research notebooks and interactively write Spark jobs, run them on AWS cluster, create queries and visualize data. On top of that add Spark Streaming and you can execute your models on a live stream of data. While Databricks is hosting the landing page for the UI, your data as well as the machine to host the infrastructure to run Spark resides in your AWS environment. I’m curious to know how it will compare with Amazon’s Space Needle they are unveiling at re:Invent 2015 in Las Vegas. Besides Spark, it is also becoming apparent, that working with data at large is no longer about a particular choice of a right database or distributed file system. Data platforms are coming. The world is starting to think in terms of data platforms: a set of technologies and architecture patterns designed to work together to solve a variety of data-related problems. Data platform largely defines how we access, store, stream, compute and search structured, unstructured, sensor generated data. A solid example of such a platform is Basho Data Platform where Basho is taking its Riak database and making it a part of something much bigger than a Key-Value store. Personal improvement takeaways:
  • Hack on public data in Spark
  • Keep learning and using Scala
  • Functional programming
  • Functional programming
  • Functional programming
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IoT Solutions at Strata+Hadoop World NYC 2015

IoT Solutions at Strata+Hadoop World NYC 2015

DataArt will be showcasing Big Data, IoT and predictive maintenance solutions at Strata+Hadoop World NYC 2015, September 30 — October 1. Powered by Canonical's Ubuntu Snappy Core and orchestrated by Juju, we will showcase how to deploy DeviceHive's lambda architecture and evolve your industrial IoT solution from proof of concept to a scalable production system.

Stop by Canonical/Ubuntu Booth #358. If you would like to connect at the show, please leave your contact information here. Looking forward to seeing you at Strata+Hadoop World NYC.

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Prototype IoT with $5 WiFi Microcontroller ESP8266 and DeviceHive

We are proud to announce a release of DeviceHive firmware that turns a $5 WiFi modem into a fully functional standalone IoT board that doesn’t require programming on device side, and you can access it’s GPIO, ADC, PWM, I2C and SPI from DeviceHive cloud. While being marketed as a WiFi modem which can be attached to a microcontroller, it is actually a fully capable IoT board by itself and doesn’t need any extra microcontroller. Using DeviceHive cloud you can access it’s pins right from your cloud apps using REST/JSON written in your favorite programming language. How about AngularJS UI that talks to this tiny thing? Untitled Feeling overwhelmed by Raspberry Pi or Arduino environment and need a cheaper alternative? Want a WiFi connected microcontroller that works with the cloud right away? Read on!
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DeviceHive platform arrives on Azure Marketplace

DeviceHive platform arrives on Azure Marketplace

The industrial Internet of Things (IoT) enables businesses to predict when industrial equipment is going to fail, so that action can be taken beforehand. A leader in this space, DataArt, developed one of the first IoT and big data open sourced platforms, DeviceHive, and published on the Microsoft Azure Marketplace. DataArt has collaborated with Canonical, the company behind Ubuntu, as well as Microsoft.
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DeviceHive at Microsoft Build 2015

DeviceHive at Microsoft Build 2015

We are glad to announce that the DeviceHive team together with Canonical/Ubuntu will support showcase IoT solutions using Ubuntu Snappy Core and Microsoft Azure at Microsoft Build 2015. If you would like to chat, please get in touch with us to schedule a meeting. Tickets for Microsoft’s annual developers conference were sold out in just an hour. It will take place in San Francisco on April 29th through May 1st. It’s really exciting to see where the company’s IoT vision will lead us. Microsoft CEO Satya Nadella said that “the new product, “Azure IoT Suite”, will combine business intelligence capabilities (Power BI) using real-time data (Azure Stream Analytics) with Azure Machine Learning capabilities”. Also he announced that Azure IoT Suite will be available as a preview later this year. While few details about the suite were provided, it will be designed to address various IoT scenarios “such as remote monitoring, asset management and predictive maintenance.”
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DeviceHive 1.3.0 – the Open Source IoT/M2M Platform Done Right

DeviceHive 1.3.0 – the Open Source IoT/M2M Platform Done Right

The DataArt IoT / M2M practice is happy to finally present the new release version of the open source IoT / M2M communication platform DeviceHive 1.3.0. The framework was developed to allow users to concentrate more power in innovation & focus on how the machines & gadgets will communicate, instead of the type of data they transmit and what the overall end-user experience could be. This fall the new big things with extended security support and scalability are coming.

The DeviceHive team has released the multipurpose JavaScript library in the new 1.3.0 version. Now, large and complex applications with Client-Server-Device architecture can be easily coded with 10 lines, as the new DeviceHive JavaScript library is available on the device side as well as the client side. For this purpose, the new DHDevice component is used. It can be downloaded from this module: devicehive.device.js. In order to simplify the installation and packages management, the client’s and the device’s JavaScript libraries were integrated with Bower. A second after entering “bower install DeviceHive”, you will be able to start writing your JavaScript-DeviceHive application! The JavaScript library development is still a dynamic process. In our next patch release we're going to expand the horizons further by adding full support for node.js environment.

You can view more details here.

The new DeviceHive release has the integration with Docker – so version 1.3.0 is now cloud-compatible! Now all deployments to the cloud are easy to make. In previous versions of DeviceHive, the issue of server deployment was resolved by a set of complex scripts that required a very specific environment - not a handy thing.

DeviceHive’s new infrastructure deployment approach provides quick and easy server deployment. DeviceHive Java server is now integrated with Docker, which makes deployments to cloud environments extremely easy. This platform allows fast deployment of the new DeviceHive servers in any Docker-compatible environment, and migration of the configured DeviceHive servers to other hardware or virtual platforms.

The short instruction of how to quick start using Docker is at the DeviceHive site.

To fully enjoy the new DeviceHive 1.3.0, please, use the links below.

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