Platform Pulse: Open Knowledge, Agent Sandboxes, and Elastic Training

🤖 AI Agents & Language Models

The ecosystem is actively standardising agentic workflows, moving from static prompts to code-first frameworks equipped with graph-based orchestrations and robust testing flywheels.

1. AlphaEvolve GA: AlphaEvolve, a code optimisation and discovery agent built on Gemini, is now generally available to help solve complex business and research problems.
2. Gemini Omni Flash and Nano Banana 2 Lite: Nano Banana 2 Lite is generally available for everyone, and Gemini Omni Flash is available in public preview within the Gemini Enterprise Agent Platform.
3. Claude Apps Gateway: This self-hosted service sits directly between local Claude Code clients and the Gemini Enterprise Agent Platform to ensure secure deployments on Google Cloud.
4. Google ADK 2.0: Google has detailed the rationale, new features, and migration paths for the newly stable Agent Development Kit 2.0.
5. ADK Go 2.0: The latest release introduces a graph-based workflow engine, built-in human-in-the-loop orchestration, and automated resilience mechanisms like exponential backoff retries.
6. Polymorphic Multi-Agent Systems: Developers can build scale-proof multi-agent architectures that solve context bloat and attention diffusion through dynamic, metadata-driven validation.
7. Genkit Agents API: Available in preview for TypeScript and Go, this API packages message history, tool loops, and streaming into a single interface for conversational AI.
8. Agent Quality Flywheel: A new developer skill automates a five-stage evaluation flywheel to safely validate prompt tweaks and prevent widespread production regressions.
9. Web Manual-like QA with Gemini: Gemini's "Computer Use" capability visually perceives and interacts with web pages, automating QA testing directly from screen pixels to withstand UI changes.
10. DiffusionGemma: An experimental text-generation model using diffusion-based parallel generation instead of autoregression to process 256-token blocks simultaneously.

📊 Data Analytics, BigQuery & Storage

Data engineering practices are pivoting toward semantic intelligence, releasing Open Knowledge specifications and pushing new per-second FinOps billing paradigms across BigQuery.

1. Open Knowledge Format (OKF): The proposed OKF standard represents data as code, creating a portable digital map to standardise documentation and solve scattered knowledge challenges for AI agents.
2. Conversational Analytics in BigQuery: Now generally available, this feature allows users to query data and generate reports using natural language across BigQuery and Lakehouse.
3. AlloyDB AI Functions: New performance boosts and cost savings have been introduced for AlloyDB AI functions, bringing Gemini's intelligence closer to the data.
4. BigQuery Fluid Scaling: BigQuery has eliminated the previous 60-second minimum for reservation billing, shifting to per-second consumption to reduce cooldown waste on bursty workloads.
5. BigQuery AI.AGG Function: This new function allows data teams to synthesise the big picture and analyse trends across unstructured data logs and documents at scale.
6. E-Commerce Churn Prediction with TabFM: Google's TabFM foundation model enables zero-shot tabular predictions in BigQuery, leveraging in-context learning via SQL without prior training.
7. Dataform Incremental Load Optimisations: Engineers have identified four practical techniques to drastically reduce execution times and BigQuery costs for production Dataform pipelines.
8. BigQuery Information Schema Queries: Five essential INFORMATION_SCHEMA queries that data engineers must run to correctly target BigQuery performance optimisation efforts.

🔐 Zero-Trust Security & Threat Intelligence

Organisations are hardening architectures to fight sophisticated extraction tactics and proxy networking abuse, driving rapid adoption of internal AI threat defences.

1. Confidential AI with Apple: Google Cloud is expanding its Confidential Computing capabilities by collaborating with Apple on its Private Cloud Compute (PCC) systems.
2. Dutch DPIA Approval for EU Public Sector: Google Cloud has confirmed its commitment to data protection with a Dutch DPIA approval, offering a safer choice for European public sector organisations.
3. Google Threat Intelligence and Wiz ASM: Google Threat Intelligence has integrated with Wiz Attack Surface Management to help match real-world exposures against real-time adversary activity.
4. Detecting AI-Powered Threats: Google Security Operations now works alongside AI Threat Defense to monitor and contain autonomous threats, particularly from unpatched code.
5. Active ADFS Signing Keys Recovery: Threat intelligence reports detail how adversaries are exploiting Machine DPAPI to forge high-privilege SAML tokens.
6. Cisco Switch Syslog Ingestion: A lab guide outlining how to use a headless Raspberry Pi 5 to sanitise Cisco IOS headers and bridge legacy network hardware with Google SecOps.
7. Disruption of Malicious Proxies: Google successfully disrupted the NetNut malicious residential proxy network, safeguarding over 2 million hijacked consumer devices.
8. STOCKSTAY Intelligence Gathering: Analysts have uncovered a new backdoor named STOCKSTAY within the pro-Russia influence ecosystem, continually developed by the threat actor Turla.

⚡ Cloud-Native Infrastructure & Serverless

To run high-compute AI boundaries securely, infrastructure teams are rapidly provisioning hardware queues, sandboxing runtime logic, and migrating towards elastic TPU clusters.

1. C4N Machine Series GA: The C4N family is now generally available, delivering the highest per-vCPU network and block storage I/O performance for x86 enterprise applications.
2. Cloud Run Sandboxes in Preview: Announced at WeAreDevelopers World Congress, Cloud Run sandboxes offer a native, ultra-fast runtime built specifically for executing untrusted AI agent code.
3. Kueue in Google Cloud Console: Google has integrated the Kueue standard directly into the Cloud Console, providing a visual interface for managing high-performance GPUs and TPUs.
4. Cloud CDN Private Bucket Access: Cloud CDN and external ALBs now support private bucket access via IAM-only permissions, eliminating the need to expose Cloud Storage buckets or generate signed URLs.
5. 100x SRE: Agentic GKE Capacity Optimiser: Engineers can build an autonomous agent using Google Antigravity 2.0 to dynamically generate optimal GKE manifests and resolve "Pending Pods".
6. 100x Platform Engineering with Fabric FAST: Antigravity 2.0 can now autonomously architect, validate, and self-heal enterprise-grade GCP landing zones using data-driven "Recipe" Skills.
7. Cloud Run CPU-Throttling Mystery: A deep dive explaining how request-based allocation mode on Cloud Run freezes background tasks, requiring developers to switch to instance-based CPU allocation.
8. Scaling LLM Inference with Managed Lustre: Enterprise LLM inference on GKE can now offload KV caches to Google Cloud Managed Lustre for better long-context support and reduced GPU costs.
9. Elastic Training with MaxText: Google's JAX ecosystem uses Pathways to convert TPU hardware failures into Python exceptions, allowing distributed AI training jobs to automatically replace broken workers and resume in seconds.