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Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52
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The Need for Real-Time Device Tracking

ScaleOut Software

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78
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What is Azure Functions?

Dynatrace

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 137
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. The post Developing Real-Time Digital Twins for Cloud Deployment appeared first on ScaleOut Software.

Cloud 52
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Debugging with a Mock Environment.

Cloud 52