Serverless Computing with Google Cloud

Serverless computing is a cloud-computing model where the cloud provider acts as the server, dynamically managing the allocation of machine resources. What that means is 'pay-as-you-use' pricing for the developer for their computing tasks. In this video i'll walk through some useful parts of the Google Cloud suite of services and use it to help train+test a wide+deep neural network to predict customer purchasing power. Topics covered include cloud computing models, kubernetes, Colab, and regression models. Enjoy!

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[VitePapa]

I'm learning python as a hobby at my very own snail pace. Really enjoy your stuff.

[GabrielScindian]

Thanks for bringing out the content that will power our future

[web]

Great overview of GCP with the focus on ML

[zillionairetc]

Thanks for sharing. Excellent job on this video. I just wanted to let you know that I am grateful for you. You got incredible heart and one of the best I know in this field.

[tjnaz]

I've been considering moving to GCP, and boom Siraj uploads a video about it. Thanks Siraj.

[ravisawhney]

Nice but would like to see a long form version of this video - these are great for starters but your left hungry after.

[rushikeshdarge]

Please!!!
Make video on how to use Google colab!!

[shashankbarki]

Thanks for this Siraj. You always rock :)
Don't you need to include FaaS (like GCP functions, AWS lambda etc., ) ?

[YvanDaSilva]

Well, yes, okay serverless are a neat little thing, however they DO NOT solve all the mentionned problems.

If you develop any app, you are still responsible to update it and patch it.
- Libraries that you use might have security holes discovered or undiscovered yet.
- Crypto will evolve (ALWAYS), as computer get more and more power and techniques become more sofisticated crypto adapts often. It's your responsibility or your library responsibility to adapt (ence you, because you control the version of your dependencies).
- You still need to manage monitoring, monitoring is NOT an option specially on serverless if you don't want to end with an insane bill.
- Careful with the solutions you choose, you might be locked in to a specific solution quite easily.

If you want to go serverless or app engine style and don't want to be locked in :
- Select any Kubernetes service (or deploy your own if you know what you are doing)
- Use any FOSS serverless solution that has kubernetes and containers in mind

A few solutions for serverless on top of kubernetes :

Again, you are never free of maintaining your app, that doesn't exist. Even on the dumbest wordpress, you might end up with addons that you need to update yourself and js libraries that you need to update to avoid being on the front page of hacker news.

[darogajee]

Don't do... Hit and run videos... Do proper series.... On... Any single topic... Learn from coding train

[codersgarage]

Can you please cover how to train and run R model in ML engine. Also if I have to use app engine flex to do the same what are the best practices

[TheFakeFirang]

Equivalent Platform for the cool kids doing PyTorch ?

[alanhere]

Identifying clouds in satellite images.

cloudiness = |image - regression of image to typical perlin noise|?

Just an idea.

[islepcov]

Siraj, is it sponsored video? what about decentralized apps options?

[TheSukhdeep]

Can you please make a video about designing graphics throught AI like book cover

[meetshah]

#notifications_squad
thanks siraj !!😊

[DragusCalliforous]

Google Collab free? Nothing is free. The trade is something more valuable than money: ideas/code. But then again, we do that all the time with even this comment section on YouTube and every other "free" platform. The question is, is your innovation worth the trade for technological use. If it is, then it's a great option. 👍

[minjun]

Thanks! Does serverless computing only allow you to use Google's service? Like Google NLP, ML things like that? OR I can also run my own model from scratch?

[ibrahimhalouane]

we need a serious comparison between all cloud services, don't we?

[NickKartha]

Is it possible to offload some compute from my laptop to a remote server to speed up my system? Like, I'm playing some graphics heavy game on steam or blizzard, and I have good internet speed, could I use someone else's GPU that's somewhere else on the planet, or maybe utilize a remote GPU cluster. How can I do that?