Serverless Python Application on Google Cloud

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mp4 (1280×720, 30 frames per second(r)) | Audio: aac, 44100 Hz, 2 channels | Size: 535 MB

eLearning Video | 11 lectures (50 minutes) | Language: English

Learn how to build and deploy a Python web application on the Google Cloud Platform using Docker, Cloud Build, and Cloud Run.

Deploying a Python Serverless Web Application

Installing Google Cloud SDK on their System

Docker Fundamentals (Dockerfile)

Google Cloud Web Application Deployment

What exactly is a Serverless application?

Google Cloud Platform Cloud Development

Requirements

Python (like 30 Days of Python) (like 30 Days of Python)

Development of Web Applications (Like our Try Django series)

Description

Using a Docker Container and Google Cloud Run, create a serverless Python application.

Serverless helps us to concentrate on our development and deploy more frequently. What’s more, we only pay for our serverless applications when they’re used.

Docker Containers make it simple to establish our own separate operating system environment. This is exactly what we require in a variety of applications.

We’ll be launching a Serverless Container Application on Google Cloud in this series. In our scenario, we’ll be deploying a REST API service with Python and FastAPI. Containers provide us with the control we require to configure our environment and distribute it to practically any service that can execute a Docker container.

Serverless web apps do not imply that there are no servers; rather, the server is managed for you so that your app may expand as large as it needs to meet enormous demand or scale to 0 if there is none. Open-source technologies Kubernetes and Knative enable container-based serverless programs, which are maintained for us by Google Cloud. Kubernetes was created by Google to manage (or orchestrate) containers. Fortunately, we don’t have to think about Kubernetes at all; we just need to worry about our application’s code, and Google will manage the rest.

Serverless apps built with containers on Google Cloud are very wonderful. Let’s look at why.

Who should take this course:

Students that have prior Python experience

Beginner web app developers with a passion for serverless apps

Users of AWS Lambda searching for a better method

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