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
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.
veda-wfs3-west2-stagingrds and use it to create the production features apieis_fire_perimterdataset https://openveda.cloud/api/stac/collections/eis_fire_perimeterAcceptance Criteria
Production Features API is used in VEDA dashboard foreis_fire_perimeterdataset