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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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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. set ( ' Clear-Site-Data ' , ' cache ' ); } else { res. Well, there’s an easier way! Something maybe a little like this: const referer = req.

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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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Data Fetching and Cache Maintenance With React-Query

DZone

In this article, on behalf of Apiumhub, we will focus on the React.js To manage the server state in the frontend and sync with the backend, we need to update, cache, or re-fetch the data efficiently. Sometimes we call the backend more than necessary, and this could cause performance problems in our applications.

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Performance Game Changer: Browser Back/Forward Cache

Smashing Magazine

Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.

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How to Boost Redis With Local Caching in Java

DZone

You may also like: Java-Distributed Caching in Redis. Local caching is one of the most useful tactics for improving the performance of databases such as Redis. Redis developers who want to do local caching in Java will find that Redis doesn’t support this functionality out of the box.

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Comparing Apache Ignite In-Memory Cache Performance With Hazelcast In-Memory Cache and Java Native Hashmap

DZone

This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data.

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