implementing jenkins pipeline in a microservice architecture

NOTE:

to deploy a jenkins cluster with master and worker nodes on AWS and Google Cloud refer to deploy jenkins cluster with Terraform

microservice components:

Loader(Python) --> responsible for reading a JSON file containing a list of movies and pushing each movie item to Amazon SQS
Parser(Golang) --> responsible for consuming movies by subscribing to SQS and scraping movies information from the IMDb website and storing the metadata into MongoDB
Store(Node.js) --> responsible for servig a RESTful API with endpoints to fetch a list of movies and insert new movies into the watch list database in the MongoDB
Marketplace(Angular & TypeScript) --> responsible for serving a frontend to browse movies by calling the store RESTful API

key approaches:

using an aws api gateway to invoke a lambda function (written in js) and trigger github webhook
statis code analysis for Angular and the marketplace with SonarQube and perform webhook to jenkins for completion or failure
CVE (Common Vulnerability and Exposure) scanning of source code using Nancy
baking Nexux Repository OSS machine image with Packer to host our private docker registery.
using Anchore Engine for continuous visibility into supply chain security risks