This is the second part of our series that covers Adobe Target NodeJS SDK with On-Device Decisioning capabilities and how to run it in a serverless/edge compute environment. In this second part, we will be covering AWS Lambda and specifically AWS Lambda@Edge.
This blog is Part 2 in a three-part series that will cover how anyone could use Adobe Target NodeJS SDK to run experimentation and personalization on an edge compute platform. The parts are:
Part 1: Akamai Edge Workers and Adobe Target NodeJS SDK
Part 2: AWS Lambda@Edge and Adobe Target NodeJS SDK
Part 3: Cloudflare Workers and Adobe Target NodeJS SDKStep by step guide
As mentioned in our previous blog, we use Terraform heavily at Adobe Target. In this article, we will show how you can leverage Terraform and Adobe Target NodeJS SDK to create an AWS Lambda@Edge.
AWS Lambda@Edge is a great technology if you intend to run some piece of logic in 200+ points of presence provided by AWS CloudFront. However, it is not trivial to set up, especially if we want to set it up in a secure way. That's why we will be using Terraform to bootstrap all the infrastructure elements.
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