Releasesby GlyphDataflow 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 .
Also shipped Feb 2, 2026Google Cloud in February 2026 →
PostHog × Vercel: feature flags, minus the plumbing
PostHog has released an integration with Vercel that syncs feature flags and experiments into Vercel's native Flags system, automating credential management.
Synthetic Monitoring: Secrets Management General Availability
We’re excited to announce the General Availability release of secrets management for Synthetic Monitoring, available to all Grafana Cloud users. Secrets management gives you a centralized place to securely store sensitive data like API keys, passwords, and tokens.
Email security - Improved Accessibility and Search for Monitoring
We have updated the Monitoring page to provide a more streamlined and insightful experience for administrators, improving both data visualization and dashboard accessibility. Enhanced Visual Layout : Optimized contrast and the introduction of stacked bar charts for clearer data visualization and trend analysis.
WAF Release - 2026-02-02
This week’s release introduces new detections for CVE-2025-64459 and CVE-2025-24893. Key Findings CVE-2025-64459: Django versions prior to 5.1.14, 5.2.8, and 4.2.26 are vulnerable to SQL injection via crafted dictionaries passed to QuerySet methods and the Q() class.
Figma for Government Mobile App
The Figma for Government mobile app is now available on iOS and Android, enabling government teams to securely evaluate mobile designs on device.
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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 .
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 .
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 now supports speculative execution for batch pipelines
Dataflow now supports speculative execution for batch pipelines. This feature mitigates the impact of slow-running tasks ( stragglers ) by launching a redundant execution of these tasks. The first task to finish is used, and the other is canceled, which can improve the overall completion time of your pipeline. This feature is generally available.
Dataflow 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 .
For jobs that use GPUs, Dataflow now supports the flex-start provisioning model
For jobs that use GPUs, Dataflow now supports the flex-start provisioning model. This flex-start provisioning model can improve your ability to get access to constrained GPU resources for short-duration workloads. This feature is available in Preview and is for batch pipelines only. For more information, see Configure a provisioning model .
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.