App Hub
Feature
App Hub has expanded its support for Google Cloud resources. You can now register services and workloads from a wide range of products to your applications, including new resources from Access Approval, Certificate Authority Service, Cloud Run, Firebase, Gemini for Google Cloud, GKE Multi-Cloud, and more. Many of these supported resources are available in Preview. For a complete list, see App Hub supported resources.
Feature
Management projects are now Generally Available (GA) to enable application management in folders. This setup model is recommended for all new App Hub implementations and provides a centralized and scalable way to organize, deploy, and govern your applications.
Key features of this release include:
- App-enabled folders: You can now enable application management on a standard Google Cloud folder, which then becomes an app-enabled folder. This folder acts as the application management boundary for your App Hub applications.
- Management projects: A dedicated management project is automatically created within your app-enabled folder to store application metadata and configurations, and to centralize operations.
- Simplified API management: Required APIs for core App Hub features are automatically enabled on the management project. You can also enable recommended APIs to access the full application lifecycle experience.
- Flexible billing: Linking a billing account is now optional. You can use App Hub’s core features for organizing and observing your applications at no cost. A billing account is required only for other application-centric features.
For more information on how to get started, see Set up App Hub with app-enabled folders.
Cloud Composer
Feature
You can now start Gemini Cloud Assist investigations for failed Airflow tasks.
Cloud Storage
Feature
You can now use the Google Cloud console to relocate buckets. Using bucket relocation, you can move an existing bucket from one location to another without changing the bucket’s name or requiring manual transfer of data within the bucket.
Vertex AI Search
Feature
Vertex AI Search: Gemini layout parser (Public Preview)
For data stores with unstructured documents, you can use Gemini to get layout analysis and content extraction on PDF files. Layout parsing with Gemini provides high quality table recognition, improved reading order and more accurate text recognition.
This feature is in Public Preview. For more information, see Parse and chunk documents.
Source: Google Cloud Platform
