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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. The certification focuses on accuracy and transparency in calculating greenhouse gas (GHG) emissions for AWS, Azure, GCP, and on-premises host instances.

Energy 223
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Stuff The Internet Says On Scalability For June 22nd, 2018

High Scalability

. $40 million : Netflix monthly spend on cloud services; 5% : retention increase can increase profits 25%; 50+% : Facebook's IPv6 traffic from the U.S, Quite contrary, this was the era of the 250GB / month cap from Comcast and we could observe clearly that they were throttling Netflix traffic.

Internet 113
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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions.

Storage 130
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Web Development Trends in 2023

KeyCDN

With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades. There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform.

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Measuring Carbon is Not Enough?—?Unintended Consequences

Adrian Cockcroft

Let’s start by assuming that you have figured out a way to estimate the energy consumption and carbon footprint for a workload that is sensitive enough to register changes in the way you run the workload. The first thing to understand is that doing things consumes time and energy and has a carbon footprint of its own.

Energy 52
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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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Reducing PostgreSQL Costs in the Cloud

Percona

Benefits of Graviton2 Processors Best price performance for a broad range of workloads Extensive software support Enhanced security for cloud applications Available with managed AWS services Best performance per watt of energy used in Amazon EC2 Storage Continuing with the AWS example, choosing the right storage option will be key to performance.

Cloud 134