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What is FinOps? How to keep cloud spend in check

Dynatrace

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies.

Cloud 195
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Detecting Speech and Music in Audio Content

The Netflix TechBlog

To evaluate and benchmark our dataset, we manually labeled 20 audio tracks from various TV shows which do not overlap with our training data. Applying a random sampling strategy, each training sample is a 20 second segment obtained by randomly selecting an audio file and corresponding starting timecode offset on the fly.

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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 233
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Why Browsers Get Built

Alex Russell

This strategy is exemplified by 1990s-era Andreesen's goal to render Windows "a poorly debugged set of device drivers" The idea is that the web is where the action is, and that the browser winning more user Jobs To Be Done follows from increasing the web platform's capability.

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A Complete Guide to Performance Budgets

Speed Curve

Before you invest the time and energy in setting up performance budgets for a metric, first take a good look at how that metric aligns with your own data. Avoiding alert fatigue is crucial to the success of your performance budget strategy. If you're using your RUM and synthetic data in other ways, I'd love to learn more about it!

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Google Lighthouse vs Rigor

Rigor

Detailed optimization analysis and guidance are necessary for operationalizing your performance strategy and driving time-to-market improvements. This allows your teams baseline, benchmark, review (including retroactively reviewing past data), report, and compare and contrast your data month-over-month or even year-over-year.

Google 51
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Data Mining Problems in Retail

Highly Scalable

This approach can be expressed in more formal way by the following equation: where is the data available for analysis, is the space of a retailer’s actions and decisions, is an econometric model defined as a function of actions and data, and is the optimal strategy. were a subject of intensive research over the last century, if not longer.

Retail 152