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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?

Cache 204
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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.

Cache 176
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Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. Our Image Processing service makes it easy to do that. Our Image Processing service will automatically optimize the image quality and reduce the size of the image if no query string is provided.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

In this article, we cover a few key integrations that we provide for various layers of the Metaflow stack at Netflix, as illustrated above. These integrations are implemented through Metaflow’s extension mechanism which is publicly available but subject to change, and hence not a part of Metaflow’s stable API yet.

Systems 236
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WebP Caching has Landed!

KeyCDN

We’re happy to announce that WebP Caching has landed! The new feature integrates into the existing CDN and is available to all customers. How Does WebP Caching Work? our article Convert to WebP Format we explain in detail how to configure your origin server. There are two different options how this can be achieved.

Cache 81
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

I began writing this article in early July 2023 but began to feel a little underwhelmed by it and so left it unfinished. In this post, I’m going to break these processes down into each of: ? What is the availability, configurability, and efficacy of each? What is the availability, configurability, and efficacy of each? ?️

Cache 303
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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data 154