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IT carbon footprint: Dynatrace Carbon Impact and Optimization app helps organizations measure cloud computing carbon footprint

Dynatrace

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 226
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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

These components include schools; transportation; energy; water; and communications such as the accuracy, timeliness, and transparency of election reporting. Causes can run the gamut, from coding errors and database slowdowns to hosting or network performance issues.

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Boosted race trees for low energy classification

The Morning Paper

Boosted race trees for low energy classification Tzimpragos et al., We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. So decision trees are essentially networks of threshold functions. ASPLOS’19.

Energy 52
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

Using an interactive no/low code editor, you can create workflows or configure them as code. Dynatrace AutomationEngine workflows automate release validation using AWS Well-Architected pillars With Dynatrace, you can create workflows that automate various tasks based on events, schedules or Davis problem triggers.

AWS 240
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Thinking About Power Usage and Websites

CSS - Tricks

Gerry McGovern asked if I had any insight into energy consumption and websites. He was wondering about the specifics of web tech, like… If you do this in HTML it will consume 3× energy but if you do it in JavaScript it will consume 10 ×. Things that lead to poor performance are things that take energy. Imagine images.

Website 97
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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52
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Detecting Speech and Music in Audio Content

The Netflix TechBlog

We adapted the SOTA convolutional recurrent neural network ( CRNN ) architecture to accommodate our requirements for input/output dimensionality and model complexity. There is also GitHub repository with the following audio tools: Python code for data pre-processing, including scripts for 5.1