Infovyn

Stay current with Google Cloud's latest developments. This page aggregates new updates, announcements, resources, events, and learning opportunities in one place.

Tip: Need help navigating the Google Cloud blog? Start with our comprehensive guide: Google Cloud blog 101: Full list of topics, links, and resources.

aside_block: <ListValue: []>

Apr 6 - Apr 10

Community TechTalk: Powering Retail Agents with ADK, UCP & Apigee X
Learn how to build secure, transactional AI shopping experiences that go beyond basic chatbots. This April 16 session demonstrates how Apigee X and Gemini create a "Trust Layer" for AI retail assistants using UCP standards. We'll cover blocking prompt injections with Model Armor and implementing cost governance through token limits to secure the entire customer journey from discovery to checkout.

Register for the TechTalk
Implement multimodal capabilities in your AI agents
Three new reference architectures show how to build sophisticated multi-agent AI systems that process and analyze multimodal data. For high-confidence classification of disparate multimodal data, see Classify multimodal data. For real-time conversational AI that processes audio and video streams, see Enable live bidirectional multimodal streaming. To consolidate fragmented multimodal data into searchable knowledge graphs, see Multimodal GraphRAG resource orchestration.
Automate SecOps workflows with an agentic AI system
Accelerate incident response and reduce manual work for security teams with automated remediation playbooks. This new reference architecture guides you through building an AI agent that orchestrates complex triage and investigation workflows across disparate security tools—including SIEM, CSPM, and EDR—from a unified interface. See the complete guide to orchestrate security operations workflows.

Mar 30 - Apr 3

ASEAN Webinar | April 30: Mastering Agentic Governance at Scale with GCP
As AI agents transition from experimental pilots to core enterprise functions, governance becomes critical. Join Google Cloud experts Shilpi Puri & Wely Lau on April 30th at 11:00 AM SGT to learn how to architect a secure AI Management layer. Topics include developing governed MCP endpoints, managing tool access to enterprise data, and operationalizing AI with robust audit logs. The session features a live demonstration of these frameworks on Google Cloud.

RSVP here.

Mar 23 - Mar 27

Turn your API sprawl into an agent-ready catalog
As organizations scale, APIs often scatter across multiple gateways, creating visibility gaps that hinder AI adoption. Apigee API hub now offers two new capabilities to address this: integration with API Gateway to automatically centralize API metadata into a single control plane, and a specification boost add-on (now in public preview) that uses AI to enhance API documentation with the precise examples and error codes AI agents require for reliable operation.

Read the full blog post to get started.
Webinar | April 16: AI Command & Control
As AI agents move from experimental pilots to core enterprise functions, governance becomes essential. Join Google Cloud expert Satyam Maloo on April 16th at 11:00 AM IST to learn how to architect a secure AI Management layer. Topics include developing governed MCP endpoints, managing tool access to enterprise data, and operationalizing AI with robust audit logs. The session features a live demonstration of these frameworks on Google Cloud.

RSVP here.
Modernizing and Decoupling Event Ingestion with Apigee
In cloud-native architectures, decoupling producers from consumers is critical for resilience. While Google Cloud Pub/Sub provides a scalable backbone, exposing it directly to external clients can introduce security and management overhead. This guide explores using Apigee as an intelligent HTTP ingestion point to handle security, mediation, and traffic control before messages reach your internal bus using the PublishMessage policy or Pub/Sub API.

Read the full guide.

Mar 16 - Mar 20

Gemini-powered Assistant in BigQuery Studio Gets Context-Aware Upgrades
The Gemini-powered assistant in BigQuery Studio now functions as a fully context-aware analytics partner, supporting your entire data lifecycle. New capabilities include intelligent resource discovery using Dataplex Universal Catalog search to find resources across projects and explore metadata with natural language. You can automate tasks like scheduling production-grade queries directly through the chat interface, and instantly troubleshoot long-running or failed jobs with root cause analysis and cost control auditing.

Explore the full range of assistant capabilities.

Mar 9 - Mar 13

Want to use Gemini to develop code and don't know where to start?
This article walks through examples of developing code with Gemini prompts and identifies necessary changes to get the code working. The article also references additional examples available on GitHub.

Mar 2 - Mar 6

Introducing Gemini 3.1 Flash-Lite, our fastest and most cost-efficient Gemini 3 series model. Built for high-volume developer workloads at scale, 3.1 Flash-Lite delivers high quality for its price and model tier. It handles tasks at scale—like high-volume translation and content moderation where cost is a priority—and more complex workloads requiring deeper reasoning, such as generating user interfaces and dashboards, creating simulations, or following instructions.

Starting today, 3.1 Flash-Lite is rolling out in preview to enterprises via Vertex AI and developers via the Gemini API in Google AI Studio.

TechTalk: Implementing Device Authorization Grant (RFC 8628) for Apigee
Discover how to securely authorize input-constrained devices such as smart TVs and AI agents that operate without traditional keyboards or browsers. Join the Apigee Community TechTalk on March 19 (5PM CET / 12PM EDT) for a technical deep-dive into Apigee X and Hybrid implementations. The session explores practical approaches to state management, polling mechanisms, and human-in-the-loop security patterns designed for both IoT devices and autonomous agents.

Feb 23 - Feb 27

Nano Banana 2 brings professional-grade image generation at Flash-level speed
Google's latest image generation model, Nano Banana 2, delivers the quality and reasoning capabilities of Nano Banana Pro with significantly improved performance. The model makes advanced image generation and editing more accessible by combining professional-level output with the responsiveness developers expect from lightweight models. Read the full announcement.
Automating regulatory quality control with AI-powered semantic auditing
Life sciences organizations face mounting pressure to reduce "Refuse to File" risks and accelerate submission timelines. Google Cloud's Regulatory Submission Semantic QC Auditor addresses these challenges by applying Gemini and retrieval-augmented generation (RAG) to transform manual quality control into an intelligent, automated workflow.

The solution performs semantic cross-referencing, narrative coherence validation, and guidance-based auditing while maintaining full auditability. Built on a GxP-compliant infrastructure, it identifies subtle inconsistencies and generates remediation recommendations without compromising data privacy or regulatory requirements. Explore the technical details.
Gemini Live Agent Challenge launches with $80,000+ in prizes
Google has opened submissions for the Gemini Live Agent Challenge, inviting developers to build multimodal agents using Gemini and Google Cloud. The competition focuses on creating immersive experiences that leverage vision, audio, and speech capabilities. Winners will share over $80,000 in prizes and receive an invitation to Google Cloud Next '26. The submission window runs from February 16, 2026 through March 16, 2026. View challenge details and register.

Feb 9 - Feb 13

Gemini 3.1 Pro now available in preview on Google Cloud

Google has released Gemini 3.1 Pro, positioning it as a more capable foundation model for complex enterprise problem-solving. The model is available in preview through Vertex AI and Gemini Enterprise, supporting Google's strategy to enable agentic AI workflows at scale. Developers can access the model through the Gemini API in Google AI Studio, Android Studio, Google Antigravity, and Gemini CLI. Learn more about the model's capabilities.
GKE introduces dynamic default storage classes for simplified disk management
Google Kubernetes Engine now supports Dynamic Default Storage Classes, automatically selecting between Persistent Disk and Hyperdisk based on node hardware compatibility. This feature eliminates manual storage class configuration and complex scheduling rules when running mixed-generation VM clusters. By defining both storage variants within a single class, teams can reduce operational complexity while maintaining performance and cost optimization across heterogeneous infrastructure. Read the technical documentation.
Community TechTalk: AI-driven Apigee development with strofa.io
The Apigee community is hosting a technical session on February 26 featuring Denis Kalitviansky's presentation on strofa.io, an AI-powered development tool for Apigee. The session will demonstrate automation and orchestration capabilities spanning local emulators to large-scale hybrid deployments, with a focus on scaling API management and improving team collaboration through AI-driven workflows. Register for the session.

Jan 26 - Jan 30

Simplify API Governance with Native OpenAPI v3 Support
API Gateway and Cloud Endpoints now support OpenAPI v3 (OASv3) in General Availability, eliminating the need to downgrade modern specifications to OASv2. Define API contracts and enforce policies—including telemetry, quotas, and security—using native Google-specific extensions directly in your OASv3 files. This ensures your APIs remain secure by design while staying compatible with modern developer tooling and Google Cloud's AI services.

Get started with OpenAPI v3 on API Gateway and Cloud Endpoints.

Accelerate API Testing with the New Open Source API Tester
API Tester is a YAML-based Test Driven Development (TDD) framework built for the Apigee community. Write human-readable tests and execute them via web client or CLI to perform deep unit testing on Apigee proxies. With native support for JSONPath assertions and Apigee shared flows, you can validate payload data and internal variables like proxy.basepath directly from your terminal.

Explore the API Tester guide and start testing your proxies today.
Secure Sensitive Data with Kubernetes Secrets in Apigee hybrid
Apigee hybrid now lets you access Kubernetes Secrets directly within API proxies. This hybrid-exclusive capability keeps sensitive credentials within your cluster boundary and prevents replication to the management plane. Operators manage secrets via kubectl, while developers reference them as secure flow variables—ideal for high-compliance and GitOps workflows.

Implement Kubernetes Secrets in your hybrid proxies.
See the Console in a Whole New Light: Dark Mode is Now Generally Available in Google Cloud
Dark Mode is now generally available in the Google Cloud console, delivering a modern, accessible experience optimized for extended sessions and low-light environments. Enable it automatically based on your operating system's preference, or manually through Settings → Appearance.

Switch to Dark Mode today to enjoy a modern, comfortable, and productive environment!
Apigee X Networking: PSC or VPC Peering?
Choosing between Private Service Connect and VPC Peering for Apigee X? This video compares northbound and southbound routing, IP consumption, and connectivity to on-premises or cloud targets. Learn how to simplify your architecture and avoid common networking pitfalls.

Watch the video.

Jan 19 - Jan 23

Bridge the Gap: Excel-to-API Conversion in Apigee Portals
Tyler Ayers demonstrates how to extend the Apigee Integrated Portal to support direct Excel file uploads. Using SheetJS and custom portal scripts, you can enable users to upload spreadsheets, preview data, and submit it to your APIs—simplifying onboarding for customers who aren't yet API-ready.

Learn how to build it.
Elevate your applications with Firestore's new advanced query engine
Firestore Enterprise edition now features pipeline operations—a reimagined query engine with over a hundred new capabilities, index-less queries, new index types, and observability tooling. Migrate seamlessly using built-in tools while leveraging Firestore's serverless foundation, virtually unlimited scale, and industry-leading SLA. Join 600K developers building expressive applications with rich queryability, real-time listen queries, robust offline caching, and AI-assistive coding integrations.

Learn more about Firestore pipeline operations.

Google Cloud's Latest Features and Updates: A Technical Overview