The Basics You Need to Know about AWS, Azure, and Google Cloud

[@ArjanCodes]

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[@TheYTbinger]

Love this topic! I'd like to hear more about how cloud services work with data science (machine learning, analytics, deep learning, etc.)

[@benizakson264]

And remember, guys, no matter which cloud service you use, the most important thing when using the computation resources (ec2/lambda and the likes) is to set hard billing limits, or AT LEAST setup some daily/hourly mail notifications about your usage. The amount of people/companies who got into serious trouble when they forgot to turn off some instance with some 'while true' running on it is tragic.

[@ClimateDS]

Great overview. Finally, I understand better those different services of different companies and how they relate to each other.

[@ArjanCodes]

I'm glad the video helped!

[@diegovargas3853]

Amazing introduction. Please, we need a video about books that you recommend.

[@nishantkumar9570]

That's awesome way how you introduced all three clouds together, please bring more learning on these infrastructures. Thanks so much fir all insightful lessons.

[@cgafa]

more of this please!!

[@Aucacoyan]

Thank you! This is very useful to use as a translation between services. I would love to have more videos on this topic (cloud computing)

[@mykeb43]

I two enjoyed and love for you to dive deeper into this subject.

[@depressedknight369]

Yes please, could you make in detail videos on Azure, AWS and GCP. Love you videos, very informative and precisely useful. Thanks as always. All the best .. :)

[@baronkwan1137]

Great intro. I would love to see more videos from you about best practices on different cloud services especially for GCP!

[@MagnusAnand]

This was a much needed video. It would be cool if you could cover the details. Thanks!

[@Flankymanga]

I would like to see more a video about how to choose between cloud vendors and is there a site or portal to compare their prices for different products?

[@faisalnazik]

If possible please try to cover these concepts in more depth, not in relations with cloud platform but standalone concepts targetting DevOps, Like Compute, Databases, CDN's, Firewalls, Scheduling, Containers. Thanks that was a great overview.

[@srinivasaguptamaram9335]

Thanks for a good topic, if possible please add a video on ETL pipelines in all 3 cloud providers

[@ClemensNyffelerRocks]

Thanks for the great introduction Arjan! I'd love to see an example of a python program that can be deployed as a serverless function. Just how do you program something like that, what's the entry point, and does it require special libraries?

[@pythonwala510]

Do you have any plan for making videos on aws in future?

[@aflous]

I second this. Maybe even a series on Aws

[@esvink20]

Please make a course in how to deploy to a kubernetes service, even if it’s paid, that’s something I’d buy.

[@gskluzacek]

Great video… I use Azure at work, AKS, Blob Storage and Azure DataBrick… mostly for big data pipelines. BUT what I’d really like to know is how could one build and deploy a web app in the cloud, say using FAST AIP or Flask, NGinX, Postgres db, what else am I missing… What would be the most appropriate Cloud technology? Containers or would you go straight to K8s? Something that could scale (or at least have the potential to scale), etc.

[@JustLikeBuildingThings]

Worth noting when you say querying is not good, you can actually use something like AWS Glue/Athena to openly query folder structures held in file systems like S3 very quick using SQL syntax rather than have a database and have seen it used on large scale systems.

[@ArjanCodes]

Interesting, didn’t know that was possible. Thanks for sharing!

[@JustLikeBuildingThings]

@@ArjanCodes No problem at all! Thanks for the video

[@kazmkazm9676]

Exactly, in the company, we are storing hourly partitioned click, conversion and impression data on S3 of AWS. Thanks to Athena, we can run SQL queries on data stored in S3.

[@Rith-zt4tx]

Great stuff, Thanks for this video. Could you please provide(please direct me if it is already there) cost comparison of some most used services wrt to all three cloud providers.

[@lmbraga]

Currently, my approach is to run everything in k8s for the ease/independence of cloud provider. Functions/Lambdas have a tendency to lock you in and cost increases considerably at scale. Raw virtual machines are too much work to setup and maintain.

[@scotthollas560]

When I recently looked into Kubernetes in the cloud seemed to cost so much, so I ended up buying a cheap pc to run it on. How are you finding the cost of it?

[@kopmuntkip]

A good idea to combine with terraform