William Gottschalk

Software Engineer at Netflix. love hacking on new things. Interested in Machine Learning and designing machine learning systems

[William Gottschalk @w_gottschalk]

Talent hits the target no one else can reach. Genius hits the target no one else can see.

[William Gottschalk @w_gottschalk]

@AdamRackis * Yet

[William Gottschalk @w_gottschalk]

@mitchellh “I could build Netflix in a week. It’s just streaming bytes from a CDN!”

[William Gottschalk @w_gottschalk]

@ahmetb Yeah. Definitely not magical regarding scaling. We ran 1 VM cluster per tenant and each tenant would have their own k8s cluster. You know this better than I do, but I’d be shocked if the big tech cos didn’t do something similar.

[William Gottschalk @w_gottschalk]

@jlongster I’d definitely be interested. Lots of cool things out there to explore

[William Gottschalk @w_gottschalk]

@teej_m No problem! DM me if you want some more details. Also happy to chat about what you’re working on / what your pain points are

[Engineer Girlfriend @enggirlfriend]

i want to tell you a funny story about tech companies (snap & openAI)

when i worked at snap, we struggled with building web & hiring web engineers. why? bc snap’s #1 priority was always mobile dev. either the mobile engs would build web clients by shoving things together or would struggle to evaluate web eng candidates.

i have watched the same thing unfold for openAI. the company clearly prioritizes AI/ML/research and employs top talent for that. but these people don’t want to/know how to deal with web product eng.

do you remember how bad chatgpt was 2 years ago? it logged us out constantly, would become unusable slow for long chats, etc. making a website not do this is table stakes for web engineers, but was a knowledge gap for openAI.

we’ve watched as chatgpt evolved a ton over the last 24 months. including an entire rewrite. it is still a FAR cry from top web products like linear. we obviously still use it bc it is incredibly useful.

these are the interesting nuances of big tech companies. a lot of money sometimes doesn’t solve problems as easily & quickly as you would assume.

ending positive note; this creates a lot of room for niche specialty products to be birthed like T3 chat

[William Gottschalk @w_gottschalk]

@VicVijayakumar Seems like an opportunity for the IDE vendors to hook it into the debugger at that point. Observe the call stack directly.

[Aaron Parnas @AaronParnas]

Jeff Bezos never wanted this cartoon to become public.

He killed it, and as a result, pulitzer prize editorial cartoonist Ann Telnaes quit.

Make sure everyone sees this cartoon.

[William Gottschalk @w_gottschalk]

@AdamRackis

[Emmanuel Acho @EmmanuelAcho]

I’m sharing this because #55 is trash for this and deserves public shame. The end.

[William Gottschalk @w_gottschalk]

@astuyve This is neat! If they can nail the price/performance in a way Spanner can’t AWS will have a real winner.

[William Gottschalk @w_gottschalk]

@astuyve Got it. Looking forward to the analysis!

[Outerbounds @OuterboundsHQ]

What powers Netflix-level ML/AI workloads? Dive into Outerbounds’ architecture and discover why platform engineers are in love with it: https://t.co/gChbeNJgBa

[Outerbounds @OuterboundsHQ]

HIPAA hooray! Outerbounds is now HIPAA certified! 🎉 Build, scale, and deploy ML/AI solutions in healthcare with full confidence in your data privacy and compliance: https://t.co/ZgDja7D9cO

[Swizec Teller @Swizec]

My fav anti-under-engineering trick is to use timestamps instead of booleans in the database.

that way you know when it was set to true
super useful for debugging later

[Outerbounds @OuterboundsHQ]

This week will be huge 🚀 We are releasing a bunch of cool new features, and our CEO shares a bigger picture of Outerbounds’ long-term vision for ML/AI. Our world is changing for the better (some parts faster, some slower) and we are excited to work towards that future, one launch at a time 😊

https://t.co/uvFQUBWEla