Hosting

A Python application must be deployed and hosted on one or more servers, or a platform-as-a-service, to run.

Hosting resources

• An engineer’s guide to cloud capacity planning is a wonderful article that discusses on-demand provisioning, horizontal and vertical scaling and how to estimate performance of your infrastructure.

• Selecting a cloud provider reviews Etsy's decisionmaking around self-hosted infrastructure versus cloud hosting. They put together an architectural model and ultimately decided to start migrating over to Google Cloud Platform.

• Going Multi-Cloud with AWS and GCP: Lessons Learned at Scale covers the compute, networking, persistent storage, billing and failover aspects of using more than one infrastructure provider.

• Auth0 Architecture: Running In Multiple Cloud Providers And Regions explains their multi-cloud architecture and how it has evolved over the past several years.

• Choose A Cloud has a few posts with charts for easy cross-cloud comparisons pricing on features such as persistent storage.

• How Netlify migrated to a fully multi-cloud infrastructure is another story post about developing a multi-cloud architecture and the considerations for disaster recovery, databases and testing.

What else would you like to know about hosting and deployment?