Using Python on Google Cloud with Cloud Run

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Welcome to the first episode of Serverless Expeditions! In this series, we’ll explore everything having to do with serverless. In today’s episode, we learn how easy it is to run your Python code on Google Cloud with Cloud Run - a serverless, fully managed compute platform for deploying and scaling containerized applications quickly and securely. In this video, Abby Carey and Martin Omander show you how to build a currency converter in Python and deploy it to the cloud using Cloud Run and Cloud Build.

Timestamps:
0:00 - Intro
0:34 - Python and Cloud Run overview
1:16 - File overview
1:36 - Docker file overview
1:51 - How to create a Docker file
2:37 - Building containers with Cloud Build
3:31 - Cloud Monitoring

product: Cloud Run; fullname: Abby Carrey, Martin Omander;

#ServerlessExpeditions #CloudRun
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Have questions about serverless architectures?

googlecloudtech
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So happy to see this series back again! Keep them coming!

LuchoSerruya
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(randomly hits keyboard)
".. oh wait, I think I'm doing something wrong" xD

Euquila
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I don't see any code link in the description

RajeshSamson
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Id love to see a video about setting up a java cloud run app doing authorized http requests to another cloud run app using service accounts

DanielWallman
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The old videos on Cloud SQL with Martin and brett seem to have been deleted

abdullahmoiz
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Been running Python scripts in AWS Lambda for years. Took Cloud Functions for a spin with Node and will never, ever go back to Python in this context. The execution speed difference is like going from a horse & buggy to a Formula 1 car. LITERALLY took 15 minute runs down to seconds. Python is easier to use but as you move on from demos to *actual* workloads the long running Python scripts will lead to much higher costs along with the slower speeds. Save Python of ML and other uses where speed does not matter nearly as much.

ighsight
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Yes. It does sound awesome. Except...it doesn't work like that at all.
Maybe with your competition, it does.

skurt