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March 08, 2024

2024-03-08 - (from GCP latest releases)

Chronicle SOAR Announcement Release 6.2.49 is now in General Availability. Dataflow Changed Streaming jobs created after March 7, 2024 automatically encrypt all user data with customer-managed encryption keys (CMEK). To enable this encryption for jobs created before March 7, 2024, drain or cancel the job, and then restart it. Dataproc Metastore Feature Dataproc Metastore now supports scheduled backups. Backups can be scheduled to run at user-specified cron job intervals, including running daily, weekly, or monthly. Google Kubernetes Engine Fixed For GKE versions later than 1.29.1-gke.1760000, the NEG, Ingress, L4 internal load balancer with subsetting, and L4 RBS controllers will skip processing the nodes missing the topology.kubernetes.io/zone label until the zone information is ready. The load balancer controllers will no longer block sync operations when a node is introduced without the label. Fixed Managed ASM installation and node scaling fails on GKE Autopilot clusters on versions between 1.28.6-gke.1095000 and 1.28.7-gke.1025000 and on versions between 1.29.1-gke.1016000 and 1.29.1-gke.1781000. To mitigate this issue, upgrade the cluster to version 1.28.7-gke.1026000 or later, or 1.29.2-gke.1060000 or later. With 2024-R07, clusters created in the Rapid channel are defaulting to an affected version. To avoid creating a cluster on an affected version, manually specify version 1.28.7-gke.1026000 or later, or 1.29.2-gke.1060000 or later when creating clusters in the Rapid channel. Recommender Feature Recommendation Hub is a centralized page on Google Cloud that helps you view all of your recommendations in one place. We recently made improvements to the page, including enabling organization and folder-view of recommendations, custom sorting and filtering of recommendations, and more. For more information, see documentation Vertex AI Feature Vertex AI Feature Store The following features of Vertex AI Feature Store are now available in Preview: Integration of Vertex AI Feature Store with Dataplex: Online store instances, feature views, and feature groups are now automatically registered as data assets in Data Catalog, a Dataplex feature that catalogs metadata from these resources. You can use the metadata search capability of Dataplex to search for and view the metadata of these resources. For more information, see Search for resource metadata in Data Catalog. **Service account configuration for feature views: **You can configure a feature view to use a dedicated service account. By default, every feature view uses the service account configured for your project. For more information, see Configure the service account for a feature view. Multiple entity IDs for a feature view: While creating or updating a feature view, you can specify multiple entity ID columns. For more information, see Create a feature view.

[Technology] ๐ŸŒŽ https://cloud.google.com/release-notes#March_08_2024

๐Ÿ—ฟarticle.to_s 

------------------------------
Title: March 08, 2024
[content]
Chronicle SOAR
Announcement
Release 6.2.49 is now in General Availability. 
Dataflow
Changed
Streaming jobs created after March 7, 2024 automatically encrypt all user data with customer-managed encryption keys (CMEK). To enable this encryption for jobs created before March 7, 2024, drain or cancel the job, and then restart it.
Dataproc Metastore
Feature
Dataproc Metastore now supports scheduled backups. Backups can be scheduled to run at user-specified cron job intervals, including running daily, weekly, or monthly. 
Google Kubernetes Engine
Fixed
For GKE versions later than 1.29.1-gke.1760000, the NEG, Ingress, L4 internal load balancer with subsetting, and L4 RBS controllers will skip processing the nodes missing the topology.kubernetes.io/zone label until the zone information is ready. The load balancer controllers will no longer block sync operations when a node is introduced without the label.
Fixed
Managed ASM installation and node scaling fails on GKE Autopilot clusters on versions between 1.28.6-gke.1095000 and 1.28.7-gke.1025000 and on versions between 1.29.1-gke.1016000 and 1.29.1-gke.1781000. To mitigate this issue, upgrade the cluster to version 1.28.7-gke.1026000 or later, or 1.29.2-gke.1060000 or later.

With 2024-R07, clusters created in the Rapid channel are defaulting to an affected version. To avoid creating a cluster on an affected version, manually specify version 1.28.7-gke.1026000 or later, or 1.29.2-gke.1060000 or later when creating clusters in the Rapid channel.
Recommender
Feature
Recommendation Hub is a centralized page on Google Cloud that helps you view all of your recommendations in one place. We recently made improvements to the page, including enabling organization and folder-view of recommendations, custom sorting and filtering of recommendations, and more. For more information, see documentation
Vertex AI
Feature
Vertex AI Feature Store

The following features of Vertex AI Feature Store are now available in Preview:


Integration of Vertex AI Feature Store with Dataplex:  Online store instances, feature views, and feature groups are now automatically registered as data assets in Data Catalog, a Dataplex feature that catalogs metadata from these resources. You can use the metadata search capability of Dataplex to search for and view the metadata of these resources. For more information, see Search for resource metadata in Data Catalog.
**Service account configuration for feature views: **You can configure a feature view to use a dedicated service account. By default, every feature view uses the service account configured for your project. For more information, see Configure the service account for a feature view.
Multiple entity IDs for a feature view: While creating or updating a feature view, you can specify multiple entity ID columns. For more information, see Create a feature view.

[/content]

PublishedDate: 2024-03-08
Category: Technology
NewsPaper: GCP latest releases
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Announcement

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Release 6.2.49 is now in General Availability.

\nDataflow\n

Changed

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Streaming jobs created after March 7, 2024 automatically encrypt all user data with customer-managed encryption keys (CMEK). To enable this encryption for jobs created before March 7, 2024, drain or cancel the job, and then restart it.

\nDataproc Metastore\n

Feature

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Dataproc Metastore now supports scheduled backups. Backups can be scheduled to run at user-specified cron job intervals, including running daily, weekly, or monthly.

\nGoogle Kubernetes Engine\n

Fixed

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For GKE versions later than 1.29.1-gke.1760000, the NEG, Ingress, L4 internal load balancer with subsetting, and L4 RBS controllers will skip processing the nodes missing the topology.kubernetes.io/zone label until the zone information is ready. The load balancer controllers will no longer block sync operations when a node is introduced without the label.

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Fixed

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Managed ASM installation and node scaling fails on GKE Autopilot clusters on versions between 1.28.6-gke.1095000 and 1.28.7-gke.1025000 and on versions between 1.29.1-gke.1016000 and 1.29.1-gke.1781000. To mitigate this issue, upgrade the cluster to version 1.28.7-gke.1026000 or later, or 1.29.2-gke.1060000 or later.

\n\n

With 2024-R07, clusters created in the Rapid channel are defaulting to an affected version. To avoid creating a cluster on an affected version, manually specify version 1.28.7-gke.1026000 or later, or 1.29.2-gke.1060000 or later when creating clusters in the Rapid channel.

\nRecommender\n

Feature

\n

Recommendation Hub is a centralized page on Google Cloud that helps you view all of your recommendations in one place. We recently made improvements to the page, including enabling organization and folder-view of recommendations, custom sorting and filtering of recommendations, and more. For more information, see documentation

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Feature

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Vertex AI Feature Store

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The following features of Vertex AI Feature Store are now available in Preview:

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    \n

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    • \n

  • **Service account configuration for feature views: **You can configure a feature view to use a dedicated service account. By default, every feature view uses the service account configured for your project. For more information, see Configure the service account for a feature view.

    • \n

  • Multiple entity IDs for a feature view: While creating or updating a feature view, you can specify multiple entity ID columns. For more information, see Create a feature view.

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