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Measure What You Impact, Not What You Influence

CSS Wizardry

A thing I see developers do time and time again is make performance-facing changes to their sites and apps, but mistakes in how they measure them often lead to incorrect conclusions about the effectiveness of that work. What if another file on the critical path had dropped out of cache and needed fetching from the network?

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5.5 mm in 1.25 nanoseconds

Randon ASCII

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. To the left of that is one of the CPU cores.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. Because of this, Jamstack apps usually load faster, but it’s harder for developers to make dynamic content.

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Why is Wordpress Slow?

KeyCDN

We will also discuss how you can speed up your slow WordPress site. Few web developers completely dismiss WordPress, claiming it is too slow. Many factors affect the speed of your WordPress website; some of them are: Your web host Server-side optimizations (PHP version, compression, caching, etc.) Why is WordPress slow?

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. Selecting the appropriate index type, creating composite indexes, and regularly analyzing and reindexing the database can substantially improve query speed.

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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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Upcoming of the learned data structures

Abhishek Tiwari

applied their approach of learning based model to B-Tree, Hash-map, and Bloom filter to develop corresponding learned models. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory. According to Kraska et al.,