知鸦日报2023-10-25

你们知道什么是损失厌恶吗？你们知道如何利用人们的损失厌恶心理来处理我们的感情，制定产品营销策略，辅助我们进行代码重构吗？你们知道如何减少因损失厌恶心理而带来的麻烦吗？

UI界面的设计本质上非常的简单，但是很多新手，以及工作了多年的设计师输出的作品质量都不尽如人意，做出来的作品效果看上去 “不高级”、“不精致”、“没设计感”。

汽车之家二手车依托平安集团资源，联合天天拍车，通过数据和科技赋能行业，实现C2B2C全链条的打通，并打造车况和车价的标准，进一步巩固中国最大线上二手车交易服务平台的领导地位。

CSS 有没有什么方式，能够单个标签实现多列多格子，每个格子颜色不一致呢？

性能优化是个恒久的话题，随着产品的演进，业务的增长，系统能力总有达到瓶颈的一天，它不可或缺的陪伴着我们走向壮大再走向衰败，是我们面临的不可回避的问题。

In our last blog post on automatic product deprecation, we talked about the complexities of product deprecations, and a solution Meta has built called the Systematic Code and Asset Removal Framework (SCARF). As an example, we looked at Moments, the photo sharing app Meta launched in 2015 and eventually shut down in 2019, and how SCARF can help with the deprecation process through its workflow management capabilities. We discussed how SCARF saves engineering time by identifying the correct order of tasks for cleaning up a product and how it can be blocked from automating the cleanup when there are intersystem dependencies. This naturally leads to the question: How do we automatically unblock SCARF when there is code that references an asset?

File names play a vital role in facilitating effective communication and organization among teams. Files with cryptic or nonsensical names can quickly lead to chaos—whereas a well-structured naming system can streamline workflows, improve collaboration, and ensure easy retrieval of information. Consistency in naming across different files and file types enables teams to find and share content more efficiently, saving time and reducing frustration.

To make it easier for our users to organize and find their files, Dropbox has an automated feature called naming conventions. With this feature, users can set rules around how files should be named, and files uploaded to a specific folder will automatically be renamed to match the preferred convention. For example, files could be renamed to include a keyword or date.

At Grab, we deal with PetaByte-level data and manage countless data entities ranging from database tables to Kafka message schemas. Understanding the data inside is crucial for us, as it not only streamlines the data access management to safeguard the data of our users, drivers and merchant-partners, but also improves the data discovery process for data analysts and scientists to easily find what they need.

The Caspian team (Data Engineering team) collaborated closely with the Data Governance team on automating governance-related metadata generation. We started with Personal Identifiable Information (PII) detection and built an orchestration service using a third-party classification service. With the advent of the Large Language Model (LLM), new possibilities dawned for metadata generation and sensitive data identification at Grab. This prompted the inception of the project, which aimed to integrate LLM classification into our existing service. In this blog, we share insights into the transformation from what used to be a tedious and painstaking process to a highly efficient system, and how it has empowered the teams across the organisation.

本⽂总结了Khronos 在性能监控领域遇到的技术挑战，以及在这个场景下的一些价值判断。

Redis的高性能不仅仅体现在单线程上，还在于内存和数据管理的相辅相成上。

微盟数据治理中心的设计与实践旨在应对数据快速增长引发的数据管理挑战。

本文旨在从主观和客观的角度，与读者探讨作为程序员如何编写写整洁且高质量的代码。

For the third part of this Fleet Management series, we’ll discuss what we call “fleet-wide refactoring” of code across thousands of Git repos: the tools we’ve built to enable fleet-wide refactoring and make it an everyday occurrence, how we rolled them out, and lessons we’ve learned along the way.

At Spotify, we adopted the declarative infrastructure paradigm to evolve our infrastructure platform’s configuration management and control plane approach, allowing us to manage hundreds of thousands of cloud resources across tens of thousands of different services at scale.

Instead of performing 10 major software upgrades to our infrastructure every year, what if we did 10,000 small ones? Across our entire codebase? That’s the idea behind Fleet Management: by building automation tools that can safely make changes to thousands of repos at once, we can maintain the health of our tech infrastructure continuously (instead of slowly and laboriously). More importantly, removing this low-level work from our developers’ to-do lists allows product teams to focus on solving problems way more interesting than migrating from Java 17.0.4 to 17.0.5. A healthier, more secure codebase, plus happier, more productive engineers. What’s not to like? In this first post about Fleet Management at Spotify, we describe what it means to adopt a fleet-first mindset — and the benefits we’ve seen so far.

Learning a language can open up new opportunities in a person’s life. It can help people connect with those from different cultures, travel the world, and advance their career. English alone is estimated to have 1.5 billion learners worldwide. Yet proficiency in a new language is difficult to achieve, and many learners cite a lack of opportunity to practice speaking actively and receiving actionable feedback as a barrier to learning.

“组织能力的杨三角，是我（编者注：杨国安教授）多年来结合学术理论和企业实践，自主开发形成的组织分析和诊断框架，是系统的提升企业软实力和团队战斗力的管理工具”。