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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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Ciao Milano! – An AWS Region is coming to Italy!

All Things Distributed

Some of the largest enterprises and public sector organizations in Italy are using AWS to build innovations and power their businesses, drive cost savings, accelerate innovation, and speed time-to-market. The company decided it wanted the scalability, flexibility, and cost benefits of working in the cloud.

AWS 167
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 4 Most Common Myths Around Test Automation

Testsigma

Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. Here is the link to the open-source version of Testsigma: testsigmahq/testsigma: Build stable and reliable end-to-end tests @ DevOps speed. github.com).

Testing 95
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Switch to New Application Performance Testing

Apica

To keep up with the testing demand there are a number of feature requirements needed in order to be called a modern performance testing platform: Mega-scale load testing — load testing should scale up to millions of users within seconds to emulate the speed and scale of virtually any high-profile event worldwide.

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Switch from LoadRunner to a New Performance Testing Software

Apica

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Mega-scale load testing –load testing should scale up to millions of users within seconds to emulate the speed and scale of virtually any high-profile event worldwide.

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

All Things Distributed

A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g., Cross-region replication allows us to distribute data across the world for redundancy and speed. ” Amazon Redshift) and Elasticsearch machines.

Database 167
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. This combination helps you improve the parallelism, scalability, and predictive accuracy of your Greenplum machine learning deployment. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321