more destination postgres warnings (#38219)

docs/integrations/destinations/postgres.md

@@ -4,14 +4,15 @@ This page guides you through the process of setting up the Postgres destination
 
 :::caution
 
-Postgres, while an excellent relational database, is not a data warehouse.
+Postgres, while an excellent relational database, is not a data warehouse. Please only consider using postgres as a destination for small data volumes (e.g. less than 10GB) or for testing purposes. For larger data volumes, we recommend using a data warehouse like BigQuery, Snowflake, or Redshift.
 
 1. Postgres is likely to perform poorly with large data volumes. Even postgres-compatible
    destinations (e.g. AWS Aurora) are not immune to slowdowns when dealing with large writes or
-   updates over ~500GB. Especially when using normalization with `destination-postgres`, be sure to
+   updates over ~100GB. Especially when using [typing and deduplication](/using-airbyte/core-concepts/typing-deduping) with `destination-postgres`, be sure to
    monitor your database's memory and CPU usage during your syncs. It is possible for your
    destination to 'lock up', and incur high usage costs with large sync volumes.
-2. Postgres column [name length limitations](https://www.postgresql.org/docs/current/limits.html)
+2. When attempting to scale a postgres database to handle larger data volumes, scaling IOPS (disk throughput) is as important as increasing memory and compute capacity.
+3. Postgres column [name length limitations](https://www.postgresql.org/docs/current/limits.html)
    are likely to cause collisions when used as a destination receiving data from highly-nested and
    flattened sources, e.g. `{63 byte name}_a` and `{63 byte name}_b` will both be truncated to
    `{63 byte name}` which causes postgres to throw an error that a duplicate column name was