Daily Edition · Page 4

THE DAILY INDEX

Technology, AI, software, security, crypto and business

ARTICLES & TUTORIALS

TLDR Web Dev

HOW TO HACK YOUR GOOGLE LIGHTHOUSE SCORES IN 2024

Perfect Lighthouse scores do not guarantee flawless website performance as the tool can be manipulated to yield artificially high results. For example, you can show the smallest amount of LCP-qualifying content on load to boost the FCP and LCP scores until the Lighthouse test has likely finished. Figuring out what the user experience is actually like needs a holistic overview of real-world performance, user field data, and more.

WEAK MEMOIZATION IN JAVASCRIPT

Memoization in JavaScript involves storing the results of expensive function calls to improve efficiency. You can use global variables or granular factory functions for basic frontend caching. Advanced techniques include using `WeakMap` and cascading structures inspired by React's `cache` function, which allows for storing multiple results and has automatic garbage collection. WeakMaps can also be used to establish relations between objects, as seen in React's experimental API.

HOW ALEXA DROPPED THE BALL ON BEING THE TOP CONVERSATIONAL SYSTEM ON THE PLANET

Alexa had the potential to be the leader in conversational AI due to its resources and talent, but it faced technical and organizational challenges. The internal infrastructure was difficult for developers to work with, and the fragmented organizational structure stopped effective collaboration. Additionally, there was a misalignment between product goals and scientific research timelines.

PGVECTOR IS NOW FASTER THAN PINECONE AT 75% LESS COST

pgvectorscale is a new open-source PostgreSQL extension that improves the performance and scalability of vector operations. It achieves this through StreamingDiskANN, a disk-based vector search index that is more cost-efficient than in-memory indexes, and Statistical Binary Quantization, a novel compression method that improves accuracy. Benchmarks show that PostgreSQL with pgvector and pgvectorscale outperforms other commercial vector databases.

HOW TO GET THE MOST OUT OF POSTGRES MEMORY SETTINGS

Postgres uses shared buffers, the largest segment of RAM, to cache frequently accessed data pages. shared_buffers should typically be set to 25% of available RAM to optimize memory usage, but can be adjusted based on buffer cache utilization. Work memory, controlled by work_mem, is allocated per query node and should be set carefully to avoid excessive memory usage or disk spillage. This article goes into detail tips to reduce memory consumption.

TLDR IndexPage 4