How To Deploy Python To Production Kubernetes In Seconds | VMware Tanzu

Deploying your Python app into production can be a chore. To run apps in production safely, there's a whole bunch of testing and certification to be done. You have to build and test your code. Check for vulnerabilities. Create container images and SBOMs. Store those images for safekeeping and auditing. Not to mention physically accessing your Kubernetes clusters and configuring them to run your application. And we haven't even mentioned networking and routing yet!

As a developer, all this friction can slow you down. What you need is a secure software supply chain! In this video, @BenWilcock (Twitter's @benbravo73) will show you how to deploy your Python applications using a secure software supply chain. He'll also talk about how it was built, and how its modularity allows for a great deal of flexibility and customization as your deployment needs change.

Chapters:
00:00 Deploying The Python Application To Production
00:40 What Is Production?
01:08 How Does Code Get To Production?
01:24 Secure Software Supply Chain
02:30 Modularity, Flexibility & Programming Language Support
03:20 How To Build A Kubernetes Supply Chain
03:40 Challenges With The DIY Kubernetes Approach
04:16 Is there an Easier Way?
05:02 Testing Our Python Application
05:48 Inspecting The Supply Chain Results