SkyFoundry: Automated Database Replication for SkySpark Everywhere Analytics-at-the-Edge

SkyFoundry introduced Automated Database Replication during the opening of the company’s SkyPosium User Conference in Denver, CO.

SkySpark Everywhere
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The replication feature enables databases from distributed the company’s nodes to be automatically replicated to a central server or cloud platform for backup and HA data access.

SkySpark Everywhere addresses one of the challenges in implementing next generation IoT applications, which is the ability to move advanced analytics to edge devices and connect those devices together in an unified, distributed computing system that can scale to thousands of nodes, millions of points, and trillions of data samples.

The firm’s software platform automatically analyzes equipment and smart device data to identify issues, faults and opportunities for improved performance and operational savings. Everywhere can run in low-cost embedded devices as small as a Raspberry Pi Zero, and be deployed on industrial PCs, servers and the cloud. data collection, analytics processing, visualization and reporting functions are executed locally in each node and results are combined into views for operators using a standard web browser. Secure inter-node communications are achieved with the company’s ‘Arcbeam’ websocket-based protocol.

“The introduction of SkySpark Everywhere in 2017 changed the game for data analytics for the IoT by embracing the reality that the IoT is a distributed computing challenge. The addition of automated replication takes SkySpark Analytics-at-the-Edge technology to the next level,” said John Petze, principal and co-founder, SkyFoundry. “SkySpark’s powerful visualization tools automatically leverage replicated data to ensure full user access to replicated databases even when those systems are offline.“

The company combines full user programmability with a library of built-in functions allowing analytics to be custom-tailored to meet the real-world needs of individual systems in applications of all types. Owners and operators are able to utilize their specialized domain knowledge, in conjunction with the expertise of the firm’s solution partners, to implement data analytics that to fit their system characteristics and requirements.