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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. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

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

DZone

To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Partnering with leading technology providers, they transitioned 70% of their workloads to the cloud.

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What is hyperconverged infrastructure? Realizing the benefits of HCI

Dynatrace

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

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Introduction to KVM, SR-IOV, and Exploring the Advantages of SR-IOV in KVM Environments

DZone

Understanding KVM Kernel-based Virtual Machine (KVM) stands out as a virtualization technology in the world of Linux. It allows physical servers to serve as hypervisor hosting machines ( VMs ). KVM functions as a type 1 hypervisor, delivering performance similar to hardware—an edge over type 2 hypervisors.

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

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What is Cloud Computing? According to ChatGPT.

High Scalability

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

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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 214