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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. Caching them at the other end: How long should we cache files on a user’s device? in this article. Cache This is the easy one. What is the availability, configurability, and efficacy of each? ?️

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Design Of A Modern Cache—Part Deux

High Scalability

The previous article described the caching algorithms used by Caffeine , in particular the eviction and concurrency models. This allows for quickly discarding new arrivals that are unlikely to be used again, guarding the main region from cache pollution.

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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

Caching is a critical technique for optimizing application performance by temporarily storing frequently accessed data, allowing for faster retrieval during subsequent requests. Multi-layered caching involves using multiple levels of cache to store and retrieve data.

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Self-Host Your Static Assets

CSS Wizardry

A classic example is jQuery, that we might link to like so: There are a number of perceived benefits to doing this, but my aim later in this article is to either debunk these claims, or show how other costs vastly outweigh them. Users might already have the file cached. Penalty: Caching. Myth: Cross-Domain Caching.

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Optimising for High Latency Environments

CSS Wizardry

These intermediates fall outside of the scope of this article, but if you’ve ever run a traceroute , you’re on the right lines. RTT is designed to replace Effective Connection Type (ECT) with higher resolution timing information. That’s exactly what this article is about. Where Does CrUX’s RTT Data Come From?

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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Author & founder of BangDB. Workload C: Read only.

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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.

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