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Trace Driven Development: Unifying Testing and Observability - Ted Young, LightStep

推荐理由

LightStep | San Francisco, New York City, or Remote | Onsite or Remote | [LINK] LightStep builds observability tools for proactively monitoring software in today's microservices-driven world. We write software for other engineering teams, and are the only company that develops observability tools at the scale and complexity that enterprises need them. To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: [LINK] You can listen to us discuss why performance is a shape not a number ( [LINK] ), why we need to rethink the traditional three pillars of observability ( [LINK] ), and trace driven development ( [VIDEO] ). Our open positions: * See All Open Roles: [LINK] * Engineering Manager: [LINK] * Full Stack Product Engineer: [LINK] * OSS Engineer: [LINK] * Software Engineer: [LINK] * Software and Reliability Engineer (SRE) / DevOps: [LINK] * (First!) Sales Engineer in NYC: [LINK] ^we have an account exec, SDR, and small eng presence in NYC already so you have company! * Technical Account Manager in SF: [LINK] ^even if you haven't been a TAM before, software engineers that crave more customer facing work and cross functional impact can be really successful in this role Tech Stack: d3.js/React/Redux single page webapp, Go backend Email austen[at]lightstep[dot]com for inquiries.

引用akyaky · 原文2019年5月

说明

这是2018年由CNCF [Cloud Native Computing Foundation]发布的一部演讲，主题归在Testing, debugging & developer tools。它讲的是distributed tracing and testing这一支里的具体问题，而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成：Ted Young of LightStep proposes trace testing, using distributed tracing data to unify testing and observability. The KubeCon-era talk argues for testing against trace data rather than treating tests and monitoring separately.这些读者给出的理由，核心是：Mostly linked by a company in its recurring hiring posts as a tech talk showing its approach, rather than recommended by commenters.它贴着当时的技术，看的时候要记得那是那个年份的判断。从2019年到2020年，有0位不同的读者在0个不同月份把它推荐出来，其中明确叫别人去看的有0次。适合一次性看完。讲者把一个判断讲透，演示是在给这个判断配例子。如果已经会了基本定义，就把注意力放在它怎么把distributed tracing and testing变成能跟着复述的例子。

视频信息

频道: CNCF [Cloud Native Computing Foundation]
时长: 29 分 48 秒
发布年份: 2018

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