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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Architecture. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Data Models.

Design 334
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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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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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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. What is CDN Architecture?‍CDN CDN architecture serves as a blueprint or plan that guides the distribution of CDN provider PoPs.

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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

‍A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs What is a CDN?‍A

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What is a Distributed Storage System

Scalegrid

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.

Storage 130
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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0