How deeply does Build Python Web Apps with Streamlit cover cloud provider?

Explains benefits, responsibilities, and cost trade-offs, but defers platform-specific deployment details.

Cloud provider

As explained in Build Python Web Apps with Streamlit

A cloud provider is a service provider that delivers computing resources over a network on demand.

A cloud provider delivers computing resources over a network, letting you host an app without owning physical hardware. Public providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. section 5.1.2

Cloud deployment is useful when an app needs scalability, reliability, and easy public access. Providers can automatically scale resources for changing traffic, maintain servers, apply security updates, and support high availability. section 5.1.2

Choose a cloud provider with these trade-offs in mind:

Reduce infrastructure work so development can focus on improving the app. section 5.1.2
Plan for resource-based costs, which can rise as an app gains popularity and attracts more users. section 5.1.2
Coordinate setup and integration with a cloud administrator or IT team for organizational applications. section 5.1.2

Choosing a hosting route

A public-facing Streamlit app can run on a cloud provider instead of dedicated servers. For a simple app, Streamlit Community Cloud offers a free, fast alternative by connecting the deployment to a GitHub repository, though it has limitations. section 1.3.8 section 5.1.2

How Build Python Web Apps with Streamlit covers it

Cover of Build Python Web Apps with Streamlit

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Also explained in

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Related concepts

deploymentused by · Deployment is the process of making software, models, or other computational systems available to operate in a target environment.
Google Cloudincludes · Google Cloud is Google's public cloud computing platform, providing infrastructure, platform, and managed services for building and operating applications.
AWSincludes · Amazon Web Services (AWS) is Amazon's public cloud computing platform, providing on-demand infrastructure and managed services over the internet.
multi-cloud deploymentused by · A multi-cloud deployment is an architecture or operating strategy that uses services or infrastructure from two or more cloud providers.
cloud computingused by · Cloud computing is the on-demand delivery of computing resources and services over a network from remotely managed infrastructure.
shared-responsibility modelcontrasts with · A shared-responsibility model is an arrangement in which multiple parties divide accountability for operating, securing, managing, or assuring a system or service.

This explainer was generated by Manning's knowledge graph from the text of Build Python Web Apps with Streamlit. The section links point to the parts of the book it draws on.