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Launched a new way of accessing billing information - from the Cloud Console mobile app.MITRE ATT&CK® mappings for Google Cloud security capabilities through our research partnership with the MITRE Engenuity Center for Threat-Informed Defense.Preferred tables enable BigQuery customers to prioritize specific tables for acceleration by BI Engine to ensure predictable performance and optimized use of resources. Now in preview, BigQuery BI Engine Preferred Tables.Launched Query Insights for Cloud Spanner - a new visualization tool for visualizing Query performance metrics and debugging Query Performance issues in the Cloud console!.

Cloud Deploy deployment of containers to Anthos user clusters using Connect gateway is now generally available.

Cloud Deploy is now available in 5 additional regions improving performance and flexibility.

With this detailed information, you can more easily allocate the costs of your GKE clusters and workloads across different teams. Now in preview, you can view a detailed breakdown of cluster costs directly in the Google Cloud console or the Cloud Billing export to BigQuery.

View your GKE costs directly in Cloud Billing.

For Services, you can allocate single-stack (IPv4 only or IPv6 only) or dual-stack addresses. With this feature, you can now allocate dual-stack IPv4 and IPv6 addresses for Pods and nodes.

Dual-stack networking is now available (preview) for GKE.

This helps achieve greater cost effectiveness by improving GPU Utilization and workload throughput. Time-sharing allows multiple containers to share a single physical GPU attached to a node.

Time-sharing GPUs on GKE are generally available.

We’ve also updated many popular Google Cloud developer tools and partnered with leading CI/CD, observability, and security ISVs to simplify running Arm workloads on GKE. Arm nodes come packed with key GKE features, including the ability to run using GKE Autopilot.

Run your Arm workloads on Google Kubernetes Engine (GKE) with Tau T2A VMs in preview.

It is free, and you only pay for the resources used, but you can further reduce cost with Spot VMs and Custom Machine Types. Without additional software, Batch dynamically and efficiently manages resource provisioning, scheduling, queuing, and execution, freeing up time for you to focus on analyzing results. Batch is a fully-managed service which helps you run batch jobs easily, reliably, and at scale.

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Our latest codelab shows you how to more quickly process a dataset by parallelizing multiple BigQuery jobs within a workflow. Speed up your workflow executions by running steps concurrently! Workflows now supports parallel steps, which can reduce the overall execution time for workflows that include long-running operations like HTTP requests and callbacks.The Data Engineer Spotlight is THIS WEEK! Register today to experience four technical sessions, expert speakers, a q&a session, and tons of on demand content.Launched three major new Dataflow features to General Availability: Dataflow Go GA, Dataflow Prime GA, and Dataflow ML GA.The generated skaffold.yaml is suitable for onboarding, learning, and demonstrating Google Cloud Deploy. The feature is accessed from the command line by adding -from-k8s-manifest=FROM_K8S_MANIFEST to the gcloud deploy releases create command.

Cloud Deploy now offers an Easy Mode option that creates a skaffold.yalm file automatically from a Kubernetes manifest.

Cloud Deploy - You can now view and compare Kubernetes and Skaffold configuration files for releases, using Google Cloud Console.

The Cloud Healthcare API provides a managed solution for storing and accessing healthcare data in Google Cloud, providing a critical bridge between existing care systems and applications hosted on Google Cloud.

Cloud Healthcare API is now available in 4 additional regions allowing customers to serve their own users faster, more reliably, and securely.

It is now Generally available, and you can use it to build multi-cloud data lakes that work across GCP and OSS query engines, in a secure and governed manner.

BigLake enables you to maximize the true potential of your data spread across clouds, storage formats, data lakes, and warehouses.

This new extract, load, and transform (ELT) path will be able to simplify your event-driven architecture. You no longer have to write or run your own pipelines for data ingestion from Pub/Sub into BigQuery.

Cloud Pub/Sub is introducing a new type of subscription called a “ BigQuery subscription” that writes directly from Cloud Pub/Sub to BigQuery.

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