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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

Caching is a critical technique for optimizing application performance by temporarily storing frequently accessed data, allowing for faster retrieval during subsequent requests. Multi-layered caching involves using multiple levels of cache to store and retrieve data.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems. ETL workflows), as well as downstream (e.g.

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How to Clear Cache and Cookies on a Customer’s Device

CSS Wizardry

If you work in customer support for any kind of tech firm, you’re probably all too used to talking people through the intricate, tedious steps of clearing their cache and clearing their cookies. From identifying their operating system, platform, and browser, to trying to guide them—invisibly! Well, there’s an easier way!

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Caching Across Layers in Software Architecture

DZone

The purpose of this article is to help readers understand what is caching, the problems it addresses, and how caching can be applied across layers of system architecture to solve some of the challenges faced by modern software systems.

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How DoorDash Rearchitected its Cache to Improve Scalability and Performance

InfoQ

DoorDash rearchitected the heterogeneous caching system they were using across all of their microservices and created a common, multi-layered cache providing a generic mechanism and solving a number of issues coming from the adoption of a fragmented cache. By Sergio De Simone

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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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PolyScale.ai – Scaling MySQL & PostgreSQL with Global Caching

Scalegrid

Data-driven applications span a wide breadth of complexity, from simple microservices to real-time event-driven systems under significant load. However, as any development and/or DevOps team tasked with performance improvements will attest, making data-driven apps fast globally is “non-trivial”. Guest post by Ben Hagan from PolyScale.ai

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