Apigee API hub
Feature
New API deployments view
API deployment information is now available as a separate tab in the API details page. You can view your API deployment details, create new deployments, and manage existing deployments using the API deployments tab.
For more information, see Manage deployments.
Fixed
The issue relating to API hub provisioning failures in data residency enabled Apigee organizations is now resolved. You can now provision API hub within an Apigee organization that has data residency enabled.
For information about provisioning API hub, see Provision API hub in the Cloud console.
Changed
New tutorial: Ingest Microsoft Azure API data into API hub
A new tutorial is available for ingesting Microsoft Azure API data into API hub.
This tutorial shows you how to ingest API metadata from Azure API Management (APIM) into Apigee API hub. It uses a pre-built Application Integration template and a set of custom scripts on GitHub to perform a manual, on-demand ingestion of your API data.
For more information, see Ingest Microsoft Azure API data into API hub.
BigQuery
Feature
Dataform now lets you automate the creation of BigLake tables for Apache Iceberg in BigQuery. This feature is generally available (GA).
Feature
BigQuery ML now supports the following generative AI functions:
AI.GENERATE: generate free text to accomplish a wide range of tasks, such as translation, summarization, and classification, on any unstructured data, including images, audio, video, and documents. It can also perform entity extraction and generate structured output. This function is generally available (GA).AI.EMBED: turn text, image, audio, video, or documents into embeddings. This function is in Preview.AI.SIMILARITY: compute the semantic similarity between pairs of text, pairs of images, or across text and images. This function is in Preview.- You can use the
AI.GENERATE_BOOL,AI.GENERATE_DOUBLE, andAI.GENERATE_INTfunctions to generate scalar values, which are convenient for filtering, scoring, and counting purposes. - Each of these functions supports authentication with end-user credentials (EUC) to set up the necessary Vertex AI permissions.
BigQuery ML now supports the following table-valued generative AI functions:
AI.GENERATE_TABLE: generate a table of structured output from unstructured data including text, images, audio, and video.AI.GENERATE_TEXTis the new, preferred version ofML.GENERATE_TEXT, which has the same functionality but with simplified column output names.AI.GENERATE_EMBEDDINGis the new, preferred version ofML.GENERATE_EMBEDDING, which has the same functionality but with simplified column output names.- These functions are all generally available (GA).
Feature
You can now use Gemini 3.0
when you call generative AI functions in BigQuery,
such as AI.GENERATE.
You must use the full global endpoint argument:
https://aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/global/publishers/google/models/gemini-3-pro-preview.
Feature
You can now publish data insights, including query recommendations and auto-generated table and column descriptions, to the Dataplex Universal Catalog. This feature is in Preview.
Cloud Database Migration Service
Feature
Database Migration Service now supports the one-time migration type for all heterogeneous migration scenarios. For more information, see the following pages:
- Migration data flow for Oracle to Cloud SQL for PostgreSQL
- Migration data flow for Oracle to AlloyDB for PostgreSQL
- Migration data flow for SQL Server to Cloud SQL for PostgreSQL
- Migration data flow for SQL Server to AlloyDB for PostgreSQL
Feature
Database Migration Service for homogeneous PostgreSQL migrations to Cloud SQL for PostgreSQL now supports PostgreSQL version 18. For more information, see Supported source and destination databases.
Cloud SQL for MySQL
Feature
Cloud SQL for MySQL 8.4.6 is upgraded to MySQL 8.4.7. For more information, see the MySQL 8.4.7 Release Notes.
Cloud Service Mesh
Announcement
The following rollouts have completed for managed Cloud Service Mesh:
- 1.21.6-asm.4 has rolled out to the rapid release channel.
- 1.20.8-asm.56 has rolled out to the regular release channel.
- 1.19.10-asm.52 has rolled out to the stable release channel.
- CNI and MDPC version 1.20.8-asm.56 has rolled out to all release channels.
While the managed data plane automatically updates Envoy Proxies by restarting workloads, you must manually restart any StatefulSets and Jobs.
Compute Engine
Feature
You can autoscale a regional managed instance group
(MIG) that has the target distribution shape set to ANY or ANY_SINGLE_ZONE.
These shapes are particularly beneficial for batch workloads.
For more information about target distribution shapes, see
Regional MIG target distribution shape.
Dataform
Feature
Dataform now lets you automate the creation of BigLake tables for Apache Iceberg in BigQuery. This feature is generally available (GA).
Source: Google Cloud Platform
