TLDR Index
TLDR Web Dev

TLDR WEB DEV 2024-06-13

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01GENERAL

Sponsored

BOOST PRODUCTIVITY

Developers want to automate as much busywork as possible, but Jira doesn't always make it easy.

appfire.comSponsor

02ARTICLES & TUTORIALS

HOW META TRAINS LARGE LANGUAGE MODELS AT SCALE

Meta is facing challenges in training large language models due to the amount of computational power required. This has led to the company rethinking its infrastructure in terms of hardware reliability, failure recovery, efficient training state preservation, and optimal GPU connectivity. Meta is innovating across the infrastructure stack by developing new training software and scheduling algorithms, modifying hardware like the Grand Teton platform, optimizing data center deployments, and exploring new fabrics for network infra.

engineering.fb.com7 min read

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.

smashingmagazine.com19 min read

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.

dev.to14 min read

03OPINIONS & ADVICE

DON'T REFACTOR LIKE UNCLE BOB. PLEASE

One of the refactoring examples in the book "Clean Code" is overly complex and less understandable than the original piece of code. There are issues like unnecessary class creation, unclear naming, and excessive function separation. Developers should prioritize code readability over just strictly adhering to arbitrary rules.

theaxolot.wordpress.com7 min read

FROM CHAOS TO CLARITY: MY JOURNEY WITH OBSIDIAN

Obsidian, an open-source note taking app, can be used for productivity with its scratchpad, task lists, daily notes, and weekly reviews. Canvas can be used for creating graphs to visualize goals and dependencies. Practice spaced repetition for knowledge retention.

kyry.cz9 min read

HOW TO USE ENGINEERING METRICS 📊

Engineering metrics should be used narrowly at first, with just one metric being the focus for a team's productivity. Over time, more metrics can be tracked and added, as long as they are aligned with the team's broader goals.

open.substack.com18 min read

04LAUNCHES & TOOLS

LAMBDA API

Lambda API is a streamlined web framework designed for AWS Lambda using AWS API Gateway Lambda Proxy Integration or ALB Lambda Target Support. It draws inspiration from frameworks like Express.js and Fastify, but has been optimized for performance within Lambda's stateless, single-execution model.

github.comGitHub repository

RESTATE

Restate allows you to build workflows, event-driven applications, and distributed services in a fault-tolerant manner with durable async/await. It can be used to build Lambda workflows as code, transactional RPC handlers, event processing with Kafka, and more.

github.comGitHub repository

GRAPHQL-QUERY-COMPLEXITY

Graphql-query-complexity is a tool that analyzes GraphQL query complexity to safeguard servers against resource exhaustion and DoS attacks. It allows setting maximum complexity thresholds and provides customizable estimators for calculating field complexities based on schema and query structure.

github.comGitHub repository

05MISCELLANEOUS

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.

mihaileric.com7 min read

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.

timescale.com13 min read

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.

tembo.io18 min read