Releasesby GlyphDataflow job builder now supports external Iceberg REST Catalogs as a source
Dataflow job builder now supports external Iceberg REST Catalogs as a source. You can now ingest data from external Apache Iceberg REST catalogs (IRC) directly into Lakehouse tables using Dataflow's job builder UI without writing code. For more information, see Import data from external Iceberg catalogs to Lakehouse using Dataflow .
Also shipped Apr 22, 2026Google Cloud in April 2026 →
- Duckling Overview UI: The Duckling Overview page in Settings provides a view of activity across every...
- Duckling Overview UI: The Duckling Overview page in Settings provides a view of activity across every Duckling in the organization over the last 24 hours, including key metrics like status, disk spills, active minutes, and query-level drilldowns.
Introducing Replit Auto-Protect
Replit Auto-Protect automatically monitors project dependencies for critical CVEs. When a vulnerability is found, the Replit Agent prepares a patch that users can apply and republish with two clicks.
Introducing Workspaces
OpenRouter now supports Workspaces, allowing users to organize projects into separate environments. Each workspace features independent API keys, routing defaults, guardrails, and observability settings.
Make preview on the mobile app
Make is now available in the Figma mobile app, bringing mobile testing and review to your device.
Deploy CLI Dry Run is now GA
We're excited to announce that Dry Run on Auth0 Deploy CLI is now Generally Available , giving developers full visibility into tenant changes before they're applied. __Key Benefits:__ Preview changes before they hit your tenant. Run a0deploy import --dry-run to see exactly what resources will be created, updated, or deleted , then exit safely.
Anomaly Alerts (Usage Spike Detection)
Detect unexpected spikes and drops in usage with intelligent anomaly detection We’re excited to announce the general availability of Anomaly Alerts in the Cost Management and Billing app!
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When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM...
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM Selection (Instance Flexibility) is enabled automatically. With Auto VM Selection, workers are provisioned from a curated list of machine types that meet your RAM and CPU requirements.
Dataflow has updated and expanded its pipeline update features for streaming jobs: - Automated...
Dataflow has updated and expanded its pipeline update features for streaming jobs: Automated stop-and-replace updates : You can perform automated, declarative stop-and-replace updates to streaming jobs. Parallel updates with the same job name : When you perform automated parallel updates, you can use the same job name for the new replacement job.
Dataflow support for the C4A machine series of Arm processors is now generally available
Dataflow support for the C4A machine series of Arm processors is now generally available. Arm-based VMs are optimized for power efficiency and can provide improved price-performance for many workloads. For more information, see Use Arm VMs on Dataflow .
Dataflow now supports NVIDIA RTX Pro 6000 GPUs
Dataflow now supports NVIDIA RTX Pro 6000 GPUs. You can use this GPU model to run your Apache Beam pipelines on Dataflow. RTX Pro 6000 GPUs are recommended for large, medium, and small model inference workloads. To configure your workers with this GPU model, set the accelerator type to nvidia-rtx-pro-6000 .
You can now use Hyperdisk Balanced disks for Dataflow worker VMs
You can now use Hyperdisk Balanced disks for Dataflow worker VMs. With Hyperdisk Balanced disks, you can provision IOPS and throughput independently of disk size by using the diskProvisionedIOPS and diskProvisionedThroughput pipeline options (Java SDK) or disk_provisioned_iops and disk_provisioned_throughput_mibps pipeline options (Python and Go SDKs).
Dataflow Managed I/O now supports rolling upgrades for streaming jobs
Dataflow Managed I/O now supports rolling upgrades for streaming jobs. With this feature, Dataflow upgrades your Managed I/O connectors in running pipelines as new connector versions become available. For more information, see Automatic upgrades .
Dataflow is available in the Bangkok ( asia-southeast3 ) region
Dataflow is available in the Bangkok ( asia-southeast3 ) region. Learn more about Google Cloud locations .
Dataflow now serves a notice for when the Dataflow Runner v2 container image of a streaming pipeline will be...
Dataflow now serves a notice for when the Dataflow Runner v2 container image of a streaming pipeline will be upgraded. To use a new image and avoid the scheduled maintenance, launch a replacement job before the upgrade. For more information, see Runner v2 harness update .