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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.

Storage 130
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Fast memcpy, A System Design

ACM Sigarch

When I worked at Google, fleet-wide profiling revealed that 25-35% of all CPU time was spent just moving bytes around: memcpy, strcmp, copying between user and kernel buffers in network and disk I/O, hidden copy-on-write in soft page faults, checksumming, compressing, decrypting, assembling/disassembling packets and HTML pages, etc.

Design 145
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How Caches Become Databases – And Why You Don’t Want This

VoltDB

The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data. Let’s look at a typical scenario involving the javax cache API, also known as JSR107. How hard can it be?

Cache 52
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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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Designing Instagram

High Scalability

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. We will use a cache having an LRU based eviction policy for caching user feeds of active users.

Design 334
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Next generation architectures will use CXL3.0 HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity.

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How to Optimize Digital Experience and Operations with Dynatrace

Dynatrace

She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. At our PerformGO!

Cache 190