InfluxData

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InfluxData and i-flow announce partnership

๐Ÿ“… Date:

๐Ÿ”– Topics: Partnership

๐Ÿข Organizations: InfluxData, i-flow


i-flow is pleased to announce an official partnership with InfluxData, developers of the market-leading time series platform InfluxDB. With this cooperation, i-flow and InfluxData combine their strengths to provide the industry with a powerful and scalable infrastructure for managing and analyzing time series data.

i-flow and InfluxDB offer a powerful combination to build a reliable, secure, and high-performance data infrastructure for factory time series data. i-flow serves as an interface to various OT systems, ensuring that OT data is harmonized and enriched with data from other systems like ERP or databases. The harmonized data is then sent to InfluxDB, which provides a robust, scalable, and secure database for further processing.

Read more at i-flow News

Transition from Preventive to Predictive Maintenance Using Time Series Data with MAJiK Visual Factory and InfluxDB

๐Ÿ“… Date:

โœ๏ธ Author: Jessica Wachtel

๐Ÿข Organizations: InfluxData, MAJiK Systems, Microsoft, Node-RED


Microsoft Azure IoT Edge and Azure IoT Hub enhance the data transport capabilities of MAJiKโ€™s Visual Factory systems. These Azure services send data from the edge to the cloud through an encrypted connection, ensuring secure data transfer. Once the data reaches the cloud, Azureโ€™s Event Grid, Event Hub, and Service Bus services manage different aspects of data transport. InfluxDB plays a crucial role in observability and training of machine learning models. Given the high volume of data needed for training, this process takes place in the cloud.

As soon as a model training is successful, the Microsoft cloud ecosystem sends the model back down to the edge via a containerized application. There, it works against real-time data in the plant.

Read more at InfluxData Blog