Cloud Composer
Announcement
Cloud Composer 2 environments can no longer be created in Turin (europe-west12). We’re switching this region to supporting only Cloud Composer 3 environments.
Cloud Storage
Feature
Rapid Bucket is now generally available. Rapid Bucket lets you store objects in the Rapid storage class by defining a zone as a bucket’s location. This architecture optimizes data access and I/O performance between your storage and compute resources. Rapid Bucket is most suitable for data-intensive workloads like AI/ML and high-scale data analytics.
For more information, see Rapid Bucket and Create zonal buckets.
Compute Engine
Feature
When you autoscale a managed instance group (MIG), you can monitor the configured group size and the size recommended by the autoscaler on a chart. For more information, see Monitor group size.
Google Cloud VMware Engine
Feature
Public Preview: You can now migrate VMware management VMs from their host cluster to a different cluster within the same private cloud. To migrate management VMs, you must have at least two clusters in your private cloud, and the destination cluster must be a workload cluster. This operation transitions the target workload cluster to a management cluster, and the source management cluster becomes a workload cluster.
Google Kubernetes Engine
Feature
Managed OpenTelemetry for GKE is available in Preview for clusters running version 1.34.1-gke.2178000 or later. Managed OpenTelemetry for GKE provides a fully managed and simplified experience for collecting OpenTelemetry Protocol (OTLP) traces, metrics, and logs on GKE. This feature includes the following characteristics:
- Managed collection: an in-cluster OTLP endpoint that automatically routes telemetry to the Cloud Telemetry API.
- Automatic configuration: a new Instrumentation custom resource that automatically injects environment variables into your workloads to simplify OTLP ingestion.
For more information, see Managed OpenTelemetry for GKE.
Google SecOps
Feature
Set up and manage data processing pipelines
This feature is currently in Preview.
You can now use the Data Processing pipelines to filter, transform, and redact Google SecOps data before ingestion. This feature provides more control over ingested data, letting you reduce costs by filtering out unwanted events, transform data for better compatibility, and protect sensitive information by redacting or masking values before storage.
You can configure data processing pipelines using the Bindplane console or the Google SecOps Data Pipeline APIs.
For more information, see Set up and manage data processing pipelines.
Google SecOps SIEM
Feature
Set up and manage data processing pipelines
This feature is currently in Preview.
You can now use the Data Processing pipelines to filter, transform, and redact Google SecOps data before ingestion. This feature provides more control over ingested data, letting you reduce costs by filtering out unwanted events, transform data for better compatibility, and protect sensitive information by redacting or masking values before storage.
You can configure data processing pipelines using the Bindplane console or the Google SecOps Data Pipeline APIs.
For more information, see Set up and manage data processing pipelines.
Source: Google Cloud Platform
