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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. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

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 107
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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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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

For re:Invent 2021 my team (but mostly Elise Greve) persuaded the re:Invent organizers to include Sustainability as a track code, and that was repeated for 2022 and now for 2023. Open source geospatial AI/ML analysis, along with IoT-connected sensors, can provide near real-time data platforms built in the cloud and assist decision-making.

AWS 52
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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. 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.

article thumbnail

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

ScaleOut Software

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. 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.

article thumbnail

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

ScaleOut Software

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