2010 Big Data Efficiency Systems 
All Things Distributed
AUGUST 18, 2011
Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.
All Things Distributed
JUNE 29, 2011
Werner Vogels weblog on building scalable and robust distributed systems. AWS also applies the same customer oriented pricing strategy: as the AWS platform grows, our scale enables us to operate more efficiently, and we choose to pass the benefits back to customers in the form of cost savings. All Things Distributed. Comments ().
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Dynatrace
OCTOBER 25, 2022
NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. Organizations adopt DevOps, where developers and operations work together in a continuous loop, so they can develop software and resolve issues efficiently before they affect users. Evolution of NoOps.
All Things Distributed
DECEMBER 13, 2009
Werner Vogels weblog on building scalable and robust distributed systems. The broad Amazon EC2 customer base brings such diversity in workload and utilization patterns that it allows us to operate Amazon EC2 with extreme efficiency. Driving down the cost of Big-Data analytics. All Things Distributed. Comments ().
O'Reilly
SEPTEMBER 19, 2023
Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.
All Things Distributed
DECEMBER 12, 2018
Winning in this race requires that we become much more customer oriented, much more efficient in all of our operations, and at the same time shift our culture towards more lean and experimental. Vivino was founded in 2010 and now has more than 20 million users worldwide and offices in four countries across three continents.
Highly Scalable
MARCH 10, 2015
Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. It is a principal task for any retailer.
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