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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. While app-centric serverless approaches abstract some of the complexities of cloud-native architecture, as the analyst firm Forrester notes , the next frontier for serverless adoption is at the edge.

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Web Development Trends in 2023

KeyCDN

With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades. Each of these platforms offers a wide range of services and tools for web application development and deployment, including storage, databases, and serverless computing.

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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Explore an implementation of this architecture with PVH, the parent company of Tommy Hilfiger and Calvin Klein. AWS speaker: T.

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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

The keynotes didn’t feature anything new on carbon, just re-iterated the existing path to 100% green energy by 2025. We also may choose to support these grids through the purchase of environmental attributes, like Renewable Energy Certificates and Guarantees of Origin, in line with our Renewable Energy Methodology.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy.

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A case for managed and model-less inference serving

The Morning Paper

Perhaps inspired by serverless in spirit and in terminology, the path forward proposed in this paper is towards a managed and model-less inference serving system. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling). autoscaling). Model-less is more confusing.