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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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Dive Into Tokenization, Attention, and Key-Value Caching

DZone

One powerful technique to address this challenge is k ey-value caching (KV cache). In this article, we will delve into how KV caching works, its role within the attention mechanism, and how it enhances efficiency in LLMs.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one. Caching is something I’ve been a little obsessed with lately , but for static assets as we’re discussing today, we don’t need to know much other than: cache everything as aggressively as possible.

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Implementation of the REDIS Cache in the.NET Core API

DZone

In this article, I cover caching and how it works in.NET Core. So, we look at the following things one by one: Introduction of Caching What is Cache? Types of Cache Installation of REDIS Cache Cache Implementation So, let’s get started!

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Why Replace External Database Caches?

DZone

Teams often consider external caches when the existing database cannot meet the required service-level agreement (SLA). However, external caches are not as simple as they are often made out to be. This is a clear performance-oriented decision.

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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. The cache is kept in sync with the current leader process. How do I know that my cache is up to date? of the data.

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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. Want to know everything (and more) about HTTP cache?

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