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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

In this post, I’m going to break these processes down into each of: ? Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one. Which brings me nicely on to… The important part of this section is cache busting. main.af8a22.css main.af8a22.css

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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

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Cache-Control for Civilians

CSS Wizardry

To this end, having a solid caching strategy can make all the difference for your visitors. ?? How is your knowledge of caching and Cache-Control headers? That being said, more and more often in my work I see lots of opportunities being left on the table through unconsidered or even completely overlooked caching practices.

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Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. How to measure performance The Website Speed Test is the ideal tool for measuring the performance of your website. Our Image Processing service makes it easy to do that. The benefits of WebP are obvious.

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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Garbage collection is slow if most objects survive the collection process. Any significant reduction in allocations will inevitably speed up your code. You can easily see this in Dynatrace: From any Host page, select a Process page. Speed up application code itself. Let’s take a look at how this works. .

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