I’m not 100% sure what the goal of your question is, it’s a bit broad. However, I feel like you might also be asking about how to manage indexes from development through to production deployments. Just in case, I’ll answer that question for you.
At CenterEdge, we use an open source utility I developed called couchbase-index-manager for years. This utility manages indexes through declarative state files. It analyzes your cluster’s state, generates a plan for index changes to reach the desired state defined in the files, and executes that plan. It’s also idempotent, it can be safely run with the current state and it will just do nothing. The state files are YAML based and designed to be committed to source control, giving you history, the ability to revert, etc. It is available on NPM and Docker Hub.
The next part is how to manage indexes during the local development experience. If your indexes locally don’t match what’s in production you can have unexpected results upon deployment. For managing this, I recommend using the CouchbaseFakeIt docker image. It allows you to easily spin up Couchbase, usually using a docker-compose file, preconfigured with indexes, views, fake data, users, and more.
Internally, it uses couchbase-index-manager for the purpose of index management. So your index definition files are mostly identical. You may simply have some different override files to manage differences in replica counts.
I hope this helps.