Deploy Features API to Production

Description

VEDA Features API has been refactored to use cdk instead of terraform and is included in this repo: https://github.com/NASA-IMPACT/veda-features-api-cdk. Features API is currently deployed in the UAH account as a staging environment. The main stakeholder/user of this service is the EIS Fire team who ingest daily data to the database. To support more stables services and include the deployment in veda-deploy, Features API must be deployed to MCP.

• deploy Features API to MCP production environment. There is currently a switch in veda deploy for Features API which is set to false.
• Create db with snapshot of veda-wfs3-west2-staging rds and use it to create the production features api
• Cutover VEDA dashboard to production features API and update external reference in production catalog for eis_fire_perimter dataset https://openveda.cloud/api/stac/collections/eis_fire_perimeter

Acceptance Criteria

• Features API is deployed to MCP using veda-deploy and is hosting EIS Fire data
• Production Features API is used in VEDA dashboard for eis_fire_perimeter dataset