vNode is an IoT Gateway

vNode can collect data from the following data sources

vNode is an IoT Gateway designed to provide connectivity between industrial systems and IoT Systems. Intended for system integrators who develop industrial automation or industrial IoT projects. vNode is the right communication platform between the plant floor and cloud applications. Whether you work with AWS IoT, Azure IoT, Google Cloud or any other cloud system, vNode is the perfect IoT Gateway.

An IoT Gateway is meant to gather data from control devices like PLCs or any controller and send it to the cloud. The IoT Gateway can either be software or hardware. vNode is Linux and Windows compatible, therefore it can be installed in Windows servers or Embedded Linux devices.

All you have to do is worry about your IoT strategy, if you are using it for Machine to Machine communication, Machine Learning, Artificial Intelligence, Big Data, Online Monitoring or any other business solutions, vNode will do the connectivity for you.

IIoT App Development: Mobile & Web Apps

The user-facing component of an Internet-of-Things system is an application—sometimes more than one. IoT app development can be considered in a couple different scenarios. For consumer IoT devices, the typical app runs on an Android or iOS smartphone and tablet, and allows the consumer to connect to, monitor, and control the connected device. For industrial and commercial IoT systems, the typical app might be a dashboard based on the web, although mobile apps are increasingly common for industrial and commercial IoT systems as well. To make these user-friendly, Learn about userflow this idea makes apps easier to navigate for users. These design principles are universal.

Predictive APIs Are Driving Machine Learning

There’s machine learning APIs where you can send a data set — for example, one column for the tweet and another column for positive or negative or neutral — and then they send it back [through] the API and then you can reuse the model for data

Data Historian

High-speed, fault-tolerant logging to databases such as MS SQL Server, Oracle, mySQL, SQL Azure, PostgreSQL, Cassandra, MongoDB, MariaDB, SQLite, InfluxDB, and Access. Log IIoT data to multiple destinations at once with Store and Forward functionality to local and remote databases in an open format.

KPIs and dashboards with MES applications

Get comprehensive MES operational visibility with Log Analytics

Collect, process, analyze and visualize log data from all machine sources either physical, virtual or in cloud environments
Get comprehensive insight to pinpoint errors that go beyond code fix through single pane of glass with application performance