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1 change: 1 addition & 0 deletions modules/ROOT/nav.adoc
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Expand Up @@ -435,6 +435,7 @@
*** xref:manage:iceberg/rest-catalog/index.adoc[]
**** xref:manage:iceberg/iceberg-topics-aws-glue.adoc[AWS Glue]
**** xref:manage:iceberg/iceberg-topics-databricks-unity.adoc[Databricks Unity Catalog]
**** xref:manage:iceberg/iceberg-topics-gcp-biglake.adoc[GCP Lakehouse]
**** xref:manage:iceberg/redpanda-topics-iceberg-snowflake-catalog.adoc[Snowflake and Open Catalog]
*** xref:manage:iceberg/query-iceberg-topics.adoc[]
*** xref:manage:iceberg/migrate-iceberg-catalog.adoc[]
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4 changes: 4 additions & 0 deletions modules/get-started/pages/whats-new-cloud.adoc
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Expand Up @@ -8,6 +8,10 @@ This page lists new features added to Redpanda Cloud.

== June 2026

=== GCP Lakehouse catalog for Iceberg topics

BYOC clusters on GCP can now use GCP Lakehouse as an Iceberg REST catalog. See xref:manage:iceberg/iceberg-topics-gcp-biglake.adoc[].

=== Connect to Amazon Aurora with IAM roles

A new guide walks Cloud customers through configuring IAM Roles for Service Accounts (IRSA) so Redpanda Connect pipelines can authenticate to Amazon Aurora without storing static database credentials. The setup uses a two-hop role chain: the Connect pipeline role assumes a customer-owned database connect role in the Aurora account, which generates a short-lived RDS IAM authentication token. Applies to `postgres_cdc`, `pg_stream`, and `mysql_cdc` inputs. See xref:develop:connect/guides/cloud/aws-iam-aurora.adoc[Authenticate to Amazon Aurora using IAM roles].
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= Use Iceberg Topics with GCP Lakehouse
:description: Add Redpanda topics as Iceberg tables to Google Lakehouse for Apache Iceberg that you can query from Google BigQuery.
:page-categories: Iceberg, Tiered Storage, Management, High Availability, Data Replication, Integration

include::streaming:manage:iceberg/iceberg-topics-gcp-biglake.adoc[tag=single-source]
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