SPONSOR WORKSHOP / Anthony Shaw / Microsoft
summary
Concrete architecture and runnable examples: a sample project with deploy scripts shows App Service instances (B1 to P3v3, up to 30), app service plans, and collectstatic uploading to Azure Storage plus optional CDN. Uses Azure Database for PostgreSQL (single/flexible/hyperscale), recommends template caching in Postgres, OpenCensus → Application Insights for logs/traces, Locust for load tests, GitHub Actions/Azure Pipelines for CI/CD, and Azure Functions as a Celery replacement. Claims the setup can scale to millions using App Service + Postgres.
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chapters (27)
- 0:00Start
- 0:38Agenda
- 0:58How Do You Get Your Django Application onto the Azure Platform What Tips and Best Practices Are There for Running Django in Azure
- 3:16Expectations
- 6:20Django Static Files
- 7:31Azure Concepts
- 7:54Resource Group
- 8:36App Services
- 10:36Azure Web Apps
- 11:27App Service Plan
- 13:29Dev Test Environment
- 14:59Tips to Scaling Out Your Web Apps
- 16:30Template Caching Django
- 19:39Azure Database for Postgres
- 20:17Microsoft Sql Server
- 24:40Memory Optimized Um Configuration in Azure
- 25:24Hyperscale
- 26:59Network Security Group
- 29:58Azure Cdn
- 33:48Create a Service Dashboard
- 35:05Deployment
- 36:26Automated Deployment
- 38:18Sendgrid
- 39:04Azure Functions
- 39:50Summary
- 41:15Things To Remember
- 43:24Conclusion
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