Pinecone AWS Reference Architecture with Pulumi deployment Part 2

The Pinecone AWS Reference Architecture: github.com/pinecone-io/aws-re... is the fastest way to go to production with high-scale use cases leveraging Pinecone's vector database.
This video is part 2 of a 3-part series where we deploy the Reference Architecture end to end.
You can find the playlist dedicated to the Pinecone AWS Reference Architecture here: • Pinecone AWS Reference...
In this video, we continue to perform the initial setup for deploying the Reference Architecture, initially focusing on the Pinecone environment variables setup.
Timestamps are linked below for easier navigation:
00:00 Pinecone environment variable configuration
1:30 Configuring Pinecone API key and environment values
2:25 Initializing a new Pulumi stack (+ what are stacks?)
3:40 Ready to run `pulumi up`!
3:55 What Pulumi is doing when we run pulumi up
4:30 Everything is defined as code, including the Docker builds
5:07 Talking through deployment and average deployment times
6:10 A brief overview of the Reference Architecture and what it deploys (data flow of system)
7:20 How we use Metadata with our Pinecone vectors to connect the user's ambiguous query to our structured data store
8:45 Many supporting resources are provisioned. Starting on Emu service
9:19 Sanity checking ECS clusters and services