This document discusses running Flask apps on Azure App Service. It provides an overview of key features of App Service including high productivity through support for multiple languages and frameworks, automated deployment and scaling, and monitoring capabilities. It also covers how App Service handles Python and containerized apps through engines like Kudu and Oryx, and highlights features for developing and troubleshooting Python apps on App Service like pre-configured Docker images and accessing logs.

1. Running Flask apps on
Azure App Service
simon.waight@microsoft.com
@simonwaight
blog.siliconvalve.com

2. Quickly build, deploy and scale applications
without worrying about infrastructure
Azure App Service
High productivity
Python, Node, Java, .NET
Docker, PHP, Ruby
Staging &
deployment
Testing in
production
App gallery
marketplace
Fully managed
Auto scale &
load balancing
High availability
w/ auto patching
Reduced
operations costs
Backup &
recovery
Enterprise grade
Global data
center footprint
Hybrid
support
Azure AD
integration
Secure &
compliant

3. App
Service
High
productivity
Your choice of languages,
pre-built packages, and tools
Develop
A
Build
</>
Deploy
Monitor

4. High
productivity
Your choice of languages,
pre-built packages, and tools
Develop
IDE
tools
Language
Pre-built
packages
.NET

5. High
productivity
Your choice of languages,
pre-built packages, and tools
Build
z
z
Source
code
CI
engines
Container
registry

6. Web
ARM
Docker
k8s
Docker
Compose
Zip
war
High
productivity
Your choice of languages,
pre-built packages, and tools
Deploy
z
Slots
CD
tools
Deploy
packages

7. High
productivity
Your choice of languages,
pre-built packages, and tools
Monitor
Monitoring
Tools
Debug
tools

8. P R O V I S I O N I N G A P Y T H O N W E B A P P H O S T

9. Demo Time

10. Understanding App Service CI / CD
• Kudu and Oryx are the two App Service engines controlling CI and CD
• Kudu does a web-hook triggered pull from source control and performs
local compile and deployment
• Kudu recognises Python apps based on *.py, requirements.txt
or runtime.txt
• Kudu automatically:
• Activates a virtual environment
• Uses PIP to restore modules in requirements.txt.
• Configure via Azure Portal easiest, but also possible via CLI
• Both Kudu and Oryx are open source and available on GitHub.

11. Python features on App Service
• The Python runtime is deployed from a baseline Docker image
• Docker image:
• Uses Gunicorn WSGI HTTP Server
• Includes Flask web framework. Run Django (or other) frameworks by using
requirements.txt for installation
• Is built using a Dockerfile published on GitHub
• App Settings can be accessed as environment variables using os.eviron
• Troubleshoot runtime issues via web SSH and streaming logs
• Utilise Managed Service Identities (MSI) to access other Azure resources.

12. Running Flask apps on
Azure App Service
simon.waight@microsoft.com
@simonwaight
blog.siliconvalve.com
https://wp.me/p26dla-T6