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Enhanced Query Caching Mechanism in Hibernate 6.3.0

DZone

Efficient query caching is a critical part of application performance in data-intensive systems. Hibernate has supported query caching through its second-level cache and query cache mechanisms. released in December 2024, addresses these problems by introducing enhanced query caching mechanisms. Hibernate 6.3.0,

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Cache Grab: How Much Are You Leaving on the Table?

CSS Wizardry

For the longest time now, I have been obsessed with caching. I think every developer of any discipline would agree that caching is important, but I do tend to find that, particularly with web developers, gaps in knowledge leave a lot of opportunities for optimisation on the table. Cache Only 0.6%

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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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Why Do We Have a Cache-Control Request Header?

CSS Wizardry

Learn how the Cache-Control request header works, how browsers handle refresh and hard refresh caching, and when developers should use it for realtime data and offline-first applications.

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PolyScale.ai – Scaling MySQL & PostgreSQL with Global Caching

Scalegrid

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 Data-driven applications span a wide breadth of complexity, from simple microservices to real-time event-driven systems under significant load.

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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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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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