内容简介:Since the pandemic started, there’s been approximately 61,260 tech layoffs [No deep insights here, just the simple fact that the once growth hyper focused startups grew to be publicly traded companies without ever sorting their unit economics, and now thei
Since the pandemic started, there’s been approximately 61,260 tech layoffs [ 1 ]. Close to 30% of the layoffs came from public tech companies, 85% of those companies are unprofitable .
No deep insights here, just the simple fact that the once growth hyper focused startups grew to be publicly traded companies without ever sorting their unit economics, and now their mediocracy has real consequences on real people.
This includes household names such as Uber, Lyft, Casper, and Eventbrite which we’ve all used, and begs the question: why did we allow so many unprofitable companies IPO? When did losing money become acceptable and the new normal for publicly traded companies?
Chamath Palihapitiya’s “ VC Ponzi Scheme ” monologue comes to mind. It also makes me wonder why we made such a big deal about WeWork’s IPO fiasco yet we don’t talk about the deplorable shape of some of the mature tech companies and their consequences on our community.
Here’s to a new generation of entrepreneurs who prioritize building sustainable businesses.
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Kafka技术内幕
郑奇煌 / 人民邮电出版社 / 2017-11 / 119.00元
Kafka自LinkedIn开源以来就以高性能、高吞吐量、分布式的特性著称,本书以0.10版本的源码为基础,深入分析了Kafka的设计与实现,包括生产者和消费者的消息处理流程,新旧消费者不同的设计方式,存储层的实现,协调者和控制器如何确保Kafka集群的分布式和容错特性,两种同步集群工具MirrorMaker和uReplicator,流处理的两种API以及Kafka的一些高级特性等。一起来看看 《Kafka技术内幕》 这本书的介绍吧!