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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246
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Percona Server for MongoDB 7 Is Now Available

Percona

This is not a general rule, but as databases are responsible for a core layer of any IT system – data storage and processing — they require reliability. Why choose Percona Server for MongoDB? Why release Percona Server for MongoDB 7 now? which was released as Percona Server for MongoDB RC 7.0.2-1.

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How To Implement Video Information and Editing APIs in Java

DZone

It must be said that this video traffic phenomenon primarily owes itself to modernizations in the scalability of streaming infrastructure, which simply weren’t present fifteen years ago.

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

DZone

It allows physical servers to serve as hypervisor hosting machines ( VMs ). Embedded within the Linux kernel, KVM empowers the creation of VMs with their virtualized hardware components, such as CPUs, memory, storage, and network cards, essentially mimicking a machine.

Hardware 117
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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.

Cloud 201
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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

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Stuff The Internet Says On Scalability For February 1st, 2019

High Scalability

Glacier is cheap because it isn't "always ready" storage. ludovicc : We spent many years to remove stored procedures and put business logic in an application server, why do you want to go back to that? There are TRADEOFFS YOU HAVE TO CONSIDER. and if/when you REALLY need the data, you're gonna be waiting a long time. Works great.

Internet 146