Event Internet IoT Scalability 
The Netflix TechBlog
AUGUST 30, 2021
In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. Upstream event sourcing was fully enabled on the producer side at around 2021–07–15 15:00 PST.
All Things Distributed
JUNE 10, 2016
The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.
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All Things Distributed
MAY 10, 2016
The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.
All Things Distributed
JUNE 20, 2017
After the launch of the AWS APAC (Hong Kong) Region, there will be 19 Availability Zones in Asia Pacific for customers to build flexible, scalable, secure, and highly available applications. Then too, Internet service providers can shut down their services any time they feel threatened by the DDoS attacks.
ScaleOut Software
JANUARY 9, 2020
It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.
ScaleOut Software
JANUARY 9, 2020
It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.
ScaleOut Software
JANUARY 9, 2020
It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.
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