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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript).

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript).

Cloud 52
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 167
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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. Developers really have flocked to using this serverless programming technology to build event driven services. Amazon Lambda. More details on the AWS Blog.

Lambda 122