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Energy Efficient Distributed Systems

DZone

Energy efficiency has become a paramount concern in the design and operation of distributed systems due to the increasing demand for sustainable and environmentally friendly computing solutions.

Energy 169
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. If you’re running your own data center, you can start powering it with green energy purchased through your utility company. A PUE of 1.0

Cloud 214
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Reducing Embodied Carbon is Important

ACM Sigarch

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. These tools account for differences among fab locations and fabrication processes.

Energy 98
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Legacy Architecture Modernisation With Strategic Domain-Driven Design

Strategic Tech

Before jumping into either of those scenarios, have a look at what Strategic Domain-Driven Design can offer you. High-level Process Sections Conceptually, there are three major sections to a modernisation process. This means a software architecture should be purposely designed for the most favourable business consequences.

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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. There are so many benefits.

Software 245
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 209
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

The following resources provide more information on how to get the most out of your AI investment, the importance of data quality for business success, and automating manual IT processes to prioritize innovation. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks. Continue reading to learn more.