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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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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

When serving and storing files on the web, there are a number of different things we need to take into consideration in order to balance ergonomics, performance, and effectiveness. In this post, I’m going to break these processes down into each of: ? Compressing them over the network: Which compression algorithm, if any, will we use?

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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. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

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CSS and Network Performance

CSS Wizardry

Let me address that by combining my two favourite topics: CSS and performance. In this post I want to look at how CSS can prove to be a substantial bottleneck on the network (both in itself and for other resources) and how we can mitigate it, thus shortening the Critical Path and reducing our time to Start Render. Employ Critical CSS.

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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

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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. Suppose a user has only downloaded part of the cache.

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

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