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Front-End: Cache Strategies You Should Know

DZone

Caches are very useful software components that all engineers must know. In this article, we are going to describe what is a cache and explain specific use cases focusing on the frontend and client side. What Is a Cache?

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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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MySQL Data Caching Efficiency

Percona

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

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WordPress Cache Enabler Plugin Updates

KeyCDN

In October 2015 KeyCDN released a free WordPress caching plugin called Cache Enabler. We did this because we wanted to give back to the WordPress community in the offering of a caching solution that was not complicated and most importantly, free. Over the last few months there have been many changes made to Cache Enabler.

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How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache

Uber Engineering

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.”

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Speed Up Presto at Uber with Alluxio Local Cache

Uber Engineering

Uber’s interactive analytics team shares how they integrated Alluxio’s data caching into Presto, the SQL query engine powering thousands of daily active users on petabyte scale at Uber, to dramatically reduce data scan latencies through leveraging Presto on local disks.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

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