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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 166
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Getting Started With NCache Java Edition (Using Docker)

DZone

NCache Java Edition with distributed cache technique is a powerful tool that helps Java applications run faster, handle more users, and be more reliable. This article is made especially for beginners to make the ideas and steps of adding NCache to your Java applications clear and easy to understand.

Java 310
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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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WebP Caching has Landed!

KeyCDN

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? Either you take advantage of image processing where we convert the images automatically for you or you deliver the WebP assets from your origin based on the accept header. It’s all about the accept header sent from the client.

Cache 81
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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. In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training.

Systems 226
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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: ? Caching them at the other end: How long should we cache files on a user’s device? in this article.

Cache 291
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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