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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. For example, development teams can use automation to increase efficiency in the software development lifecycle.

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What is DevOps? Gene Kim offers an expert view and explains how to maximize success

Dynatrace

Who better to offer some clarity than Gene Kim , former founder and CTO of Tripwire and DevOps enthusiast, who has written multiple books on the subject, including The DevOps Handbook and The Phoenix Project ? One is the absence of understanding of the invisible structures required to truly unleash developer productivity,” he said.

DevOps 217
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

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Project to Product: The Best of Mik + One Served up All Summer

Tasktop

Episode 15: Adrian Cockcroft, VP of Cloud Architecture Strategy, Amazon Web Services. In this episode, Mik and Adrian provide concrete advice on moving ahead in the digital world, covering many key discussion points including product-centred innovation, feedback loops and Flow Time. Listen now. Listen now. Listen now. Listen now. .

DevOps 52
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Data Mining Problems in Retail

Highly Scalable

More specifically, the article was inspired by three major case studies from Albert Heijn [KOK07], the largest supermarket chain in the Netherlands, Zara [CA12], an international apparel retailer, and RueLaLa [JH14], an innovative online fashion retailer. At the same time, we avoid academic results with little or no empirical support.

Retail 152