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Dynatrace Cost & Carbon Optimization certified for accuracy and transparency

Dynatrace

The explosion of AI models shines a new spotlight on the issue, with a recent study showing that using AI to generate an image takes as much energy as a full smartphone charge. Actions resulting from the evaluation The certification process surfaced a few recommendations for improving the app.

Energy 223
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Sustainability: Thoughts from a software engineer

Dynatrace

Collect metrics on energy consumption or derive them from existing signals. For instance, Dynatrace has developed the Cost and Carbon Optimization app, a tool designed to measure, understand, and act on the energy consumption and carbon emissions generated by hybrid and multicloud infrastructures.

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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 182
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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 264
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. At a glance – TLDR.

Big Data 321
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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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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. We implemented a batch processing system for users to submit their requests and wait for the system to generate the output. Incredible!”

Media 299