知鸦日报2024-01-22

在使用Taro开发偏大型小程序应用过程中，我们可能经常会遇到这么个问题：小程序的主包体积超过了2M，没办法发布。针对这个问题，本文讲一讲我在业务中经常使用到的4种优化手段。

前不久看到这样一个很有趣的效果，它的滚动条是沿着圆角边缘滚动的，这是如何实现的呢？

Most of Slack runs on a monolithic service simply called “The Webapp”. It’s big – hundreds of developers create hundreds of changes every week.

Deploying at this scale is a unique challenge. When people talk about continuous deployment, they’re often thinking about deploying to systems as soon as changes are ready. They talk about microservices and 2-pizza teams (~8 people). But what does continuous deployment mean when you’re looking at 150 changes on a normal day? That’s a lot of pizzas…

At Pinterest, our mission is to bring everyone the inspiration to create a life they love. People often come to Pinterest when they are considering what to do or buy next. Understanding this evolving user journey while balancing across multiple objectives is crucial to bring the best experience to Pinterest users and is supported by multiple recommendation models, with each providing real-time inference with an overall latency of 200–300 milliseconds. In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Our engineers are constantly discovering new algorithms and new signals to improve the performance of our machine learning models. A typical development cycle involves offline model training to realize offline model metric gains and then online A/B experiments to quantify online metric movements. However, it is not uncommon that offline metric gains do not translate into online business metric wins. In this blog, we will focus on some online and offline discrepancies and development cycle learnings we have observed in Pinterest ads conversion models, as well as some of the key platform investments Pinterest has made to minimize such discrepancies.

在数据驱动视图的框架下，你最头疼的事情是什么？没错，就是获取dom。大部分业务逻辑都可以在数据层面进行处理，但有些情况就不得不去获取真实的dom，比如获取元素的宽高。

本文是技术人面试系列多线程篇，面试中关于多线程都需要了解哪些基础？一文带你详细了解！