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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. In-memory computing has the speed and scalability needed to generate responses within milliseconds, and it can evaluate and report aggregate trends every few seconds.

IoT 78
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Serverless Reference Architectures with AWS Lambda

All Things Distributed

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. IoT Backend Serverless Reference Architecture. The architecture can be created with an AWS CloudFormation template.

Lambda 109
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Serverless Reference Architecture with AWS Lambda

All Things Distributed

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. IoT Backend Serverless Reference Architecture. The architecture can be created with an AWS CloudFormation template.

Lambda 105
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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. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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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. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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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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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.