We use AI agents to scan every code change that we deploy onto our infrastructure, preventing vulnerabilities from reaching production.

In the borderless Lakehouse, cross-cloud caching reduces data transfers, and BigQuery cross-cloud connections enables querying data in other clouds.

At the DevFest Community Workshop, we spent one intense day building long-running, self-evolving multi-agent systems powered by Google's agentic stack. Ricky Robinett, Senior Director of Developer ...

A native BM25 index in AlloyDB and Cloud SQL provides full-text retrieval without having to provision, manage, or pay for separate systems.

Discover how state and local agencies use Google Cloud AI to break data silos and modernize public services. Join us at the GPS Summit Oct 20.

This tool creates cost estimates based on assumptions that you provide. These estimates may not accurately reflect the final costs on your monthly Google Cloud bill.

Pub/Sub SMTs can now AI Inference your Gemini Enterprise Agent Platform models! Pub/Sub AI Inference SMTs allow you to apply inference on an incoming stream of events using models hosted in Gemini ...

With the Build with Gemini event series underway, Google Cloud Consulting is seeing more leaders rethink AI enablement by building quick, daily practice into their teams' routines. In this post, we'll ...

Traditional data catalogs were built as manual inventories for technical users, focusing on table structures rather than the deep context that AI agents need. When agents lack business semantics and ...

Agents are top of mind for enterprises, but often we find customers building one “super” agent – a jack of all trades – instead creating multiple agents that can specialize and work together.

Hello from sunny Las Vegas, where we kicked off Google Cloud Next ’24 today! What happened in Vegas on the first day of Next? In a word, AI. Read on for highlights of the day. We started things off ...