Hello,

We recently deployed the SRS service connected to an externalized ElasticSearch cluster in our environment, and the initial full indexing is completed with success. However few questions persists :

- I understood that as soon as we migrated to SRS it was not needed anymore to have a "Search" node in my cluster as it was deprecated. However, when going in Admin Studio i see 3 queue processors still configured to run on Search nodes only (pyBIIncrementalIndexer, pySASIncrementalIndexer, pyFTSIncrementalIndexer)

Do we need to change their startup options to run on BackgroundProcessing node ? Or do we need to reintroduce a Search nodetype in our environment ?

- I saw in several documentations that few DSS needs to be created as soon as we use SRS... Do we need to ?

https://docs.pega.com/bundle/foundation-healthcare/page/pega-foundation-for-healthcare/install-upgrade/srs-adoption.html

https://docs.pega.com/bundle/product-composer-healthcare/page/product-composer-system/imlementation-guide/srs-considerations.html

- Finally, do we need to link all our pods to the SRS (with the environment variable SEARCH_AND_REPORTING_SERVICE_URL) for the deployments ?  Thanks in advance for your help !!