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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption

The Morning Paper

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. energy consumption).

Energy 130
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Don’t follow the sun: Scheduling compute workloads to chase green energy can be counter-productive

Adrian Cockcroft

Sunset in Morocco — photo taken by Adrian We want to reduce carbon emissions of our compute and storage workloads, and one way of doing this is to choose a time and place where the “grid mix” of energy consumed is less carbon intensive. The computers you stopped using aren’t following the sun.

Energy 52
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

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6 Ways Cloud Computing and Virtualization Energize Utility IT Operations With Scalability and Flexibility

DZone

Amidst the rapid advancements in the utility and energy industry, where demands continually escalate, the role of IT operations has grown significantly, requiring enhanced capabilities to ensure seamless operations. This offered an enhanced ability to scale operations in line with the growing computational demands and data storage needs.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

AI requires more compute and storage. Training AI data is resource-intensive and costly, again, because of increased computational and storage requirements. As a result, AI observability supports cloud FinOps efforts by identifying how AI adoption spikes costs because of increased usage of storage and compute resources.

Strategy 227
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

But often, we use additional services and solutions within our environment for backups, storage, networking, and more. Kubernetes-based efficient power level exporter (Kepler) is a Prometheus exporter that uses ML models to estimate the energy consumption of Kubernetes pods. Labels we don’t need.

Metrics 183