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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 242
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What is FinOps? How to keep cloud spend in check

Dynatrace

FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies.

Cloud 205
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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. ” Usually when benchmark results are surprising it is a major hint that something could be misconfigured and that certainly seems the case here, so what could it be?

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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

We build creator tooling to enable these colleagues to focus their time and energy on creativity. Unfortunately, much of their energy goes into labor-intensive pre-work. Having diversity in the interfaces is essential to meet the app-developers where they are. Artists and video editors must create them.

Media 291
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Why Browsers Get Built

Alex Russell

Learning to tell the difference is helpful for browser project managers and engineers, but also working web developers who struggle to develop theories of change for affecting browser teams. This developer-enabling flywheel aims to liberate computing from any single OS, supporting an ephemeral services model of computing.

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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

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Why engaged teams are not always the best performers?

Abhishek Tiwari

purpose and vision, performance feedbacks, objectives and key results), or lead to personal growth and development (e.g., coaching by the engineering manager, development programs, interest groups). Motivation represents a positive energy, at the other end of the spectrum is we have burnout.