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What is a Distributed Storage System

Scalegrid

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130
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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

On top of this foundation, we add layers of caching, prerendering and edge delivery optimizations — not the other way around. Hydrogen fuels dynamic commerce by uniting React Server Components, streaming server-side rendering, and smart caching controls. Large preview ).

Cache 136
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PostgreSQL Indexes Can Hurt You: Negative Effects and the Costs Involved

Percona

The more indexes, the more the requirement of memory for effective caching. Indexes need more cache than tables Due to random writes and reads, indexes need more pages to be in the cache. Cache requirements for indexes are generally much higher than associated tables. Learn more about Percona Training

Tuning 124
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI.

Latency 233
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From AVIF to WebP: A New Smashing Book By Addy Osmani

Smashing Magazine

To be effective, all these images need to be carefully orchestrated to appear on the screen fast — but as it turns out, loading images efficiently at scale isn’t a project for a quiet afternoon. DRM-free, of course. Keeping this efficient helps ensure a good user experience. Image Content Delivery Networks. +. Large view.

Media 106
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Building an elastic query engine on disaggregated storage

The Morning Paper

Analysed from the perspective of cloud-native design this presents a number of issues: CPU, memory, storage, and bandwidth resources are all aggregated at each node, and can’t be scaled independently, making it hard to fit a workload efficiently across multiple dimensions. A consistent hashing scheme maps data to nodes.

Storage 112
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Meet Image Optimization, A New Smashing Book By Addy Osmani

Smashing Magazine

To be effective, all these images need to be carefully orchestrated to appear on the screen fast — but as it turns out, loading images efficiently at scale isn’t a project for a quiet afternoon. DRM-free, of course. Keeping this efficient helps ensure a good user experience. Image Content Delivery Networks. +. Large view.

Media 93