Anurag Gohl
① 他说过的话
8 条
是的，我在 Stripe 期间，工程团队一直有大约 15% 到 20% 仅仅是在管理 AWS 上的 VM 以及围绕它的所有复杂性，存储和网络。
指向原始笔记的链接
Yeah, so at all times when I was at Stripe, around 15 to 20% of the engineering team was simply managing VMs on AWS and all the complexity around that, storage and networking.
—— Anurag Gohl · [02:18]
你可以赋予应用开发者与世界上最有成就的世界级内部 DevOps 团队同等的能力，而且可以以一种对他们来说完全自助的方式做到。
指向原始笔记的链接
You could give application developers the same powers that they would get from the most accomplished world-class internal DevOps team, and you could do it in a way that was entirely self-serve for them.
—— Anurag Gohl · [03:57]
你不能真正用 AI 来构建你的 Kubernetes YAML,因为 AI 会犯错，而当它犯错时你必须能够理解，因为某个东西会在凌晨 2 点停止工作，然后 AI 其实没办法告诉你
指向原始笔记的链接
You can’t really build your Kubernetes YAMLs using AI because AI makes mistakes and you have to understand when it does make a mistake because something will stop working at 2 a.m. at night and then AI won’t really be able to tell you
—— Anurag Gohl · [08:36]
因为那东西就是你用 AI 写的，你完全不知道它是怎么工作的，而在有东西宕机的时候，你肯定不想用 vibe coding 的方式来搞你的基础设施。
指向原始笔记的链接
Because you just wrote it with AI, you have no idea how the thing works, and then you don’t really want to be vibe coding your infrastructure when something’s down.
—— Anurag Gohl · [08:51]
部分原因是——很抱歉我又要提到 AI——有这么多更多的人在用 AI 构建更多的应用程序，以至于用 DevOps 团队静态管理你的集群这整个理念正在崩塌。
指向原始笔记的链接
Partly because, and I’m sorry to bring up AI again, but so many more people are building so many more applications with AI that this whole notion of statically managing your cluster using a DevOps team is breaking down.
—— Anurag Gohl · [10:50]
智能体也总会更倾向于 Render 这样的更高层系统来启动一个 web 服务或启动一个工作流，因为试图在 AWS 上做这件事会花更长时间，因为你必须把一堆东西接线到一起，而每个东西都要花一段时间才能起来。
指向原始笔记的链接
Agents will always prefer higher level systems like Render to spin up a web service or spin up a workflow because trying to do that on AWS will take much longer because you have to wire up a bunch of things together and each thing takes a while to come up.
—— Anurag Gohl · [40:40]
问题，因为我们今天已经看到每周都有一个新内核漏洞被披露，而除非你自己拥有 AI 驱动的防护，否则你真的无法防范 AI 驱动的漏洞利用。
指向原始笔记的链接
issues because again we’re seeing that today a new kernel exploit is coming out every week and you really can’t protect yourselves against AI-driven exploits unless you have AI-driven protections yourself.
—— Anurag Gohl · [44:37]
所以很多新开发者实际上是在一种新的云上被训练出来的，而不是像当年的 AWS。
指向原始笔记的链接
So many new developers are really being trained on a new kind of cloud as opposed to AWS back in the day.
—— Anurag Gohl · [48:06]
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③ 他谈到的
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Sean Falconer · Render · Stripe · AWS · Kubernetes · 智能体 · MCP · 持久化执行 · Temporal · Heroku