Topic
Google Cloud
6 episodes
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Gemini at Work 2026: Introducing Gemini agent | Google Cloud Blog
Edmund and Geffen dig into Google Cloud's Gemini agent launch as a control-layer product disguised as a universal assistant: one agent across Workspace, Slack, Microsoft 365, command line, and headless surfaces, with persistent memory, sub-agents, model routing, and enterprise governance. They like the upgrade path and governance story more than the grand 'single agent for work' framing, and they land on the real question: whether companies will trust one cloud-run worker with enough permissions to make the universality claim true.
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Google Cloud Announces The Open Knowledge Format
Justy and Cody dig into Google Cloud's Open Knowledge Format as a lightweight spec for turning scattered internal docs, schemas, metrics, and runbooks into agent-readable knowledge bundles. They land on the real argument: this is less a product launch than an attempt to standardize the shape of organizational context so agents stop depending on one-off markdown conventions and brittle custom glue.
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Google tells database devs to lean hard on AI for PostgreSQL work
Google's VP of Databases says engineers should use AI coding tools heavily for PostgreSQL contributions, with individual accountability for the output. The Register's reporting surfaces a specific claim: open source codebases are better training data than proprietary systems, and isolated extension work is the sweet spot for AI-assisted development. Cody pokes at the accountability framing and whether the training advantage claim holds up. Justy asks who actually benefits and whether this changes anything day-to-day for teams working with Postgres.
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Scaling real time performance with Bigtable in memory tier | Google Cloud Blog
Justy and Cody geek out over Bigtable's new in-memory tier, which uses RDMA to deliver sub-millisecond reads. Justy sees a product manager's dream for removing cache-layer nightmares, while Cody explains how direct memory access avoids CPU bottlenecks and why the hotspot resistance is the real game-changer.
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Use agent identity with Secret Manager
Exploring Next dives deep into a cutting-edge tech development that's reshaping how we think about distributed systems and real-time processing. Izzo and Boone break down the architecture, examine the trade-offs, and connect it to current market needs.
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Managed MCP servers for Google Cloud databases | Google Cloud Blog
Google Cloud launches managed MCP servers for their database portfolio, letting AI agents directly interact with PostgreSQL, Spanner, Cloud SQL, Firestore, and Bigtable through the Model Context Protocol standard. No infrastructure to deploy — just configure endpoints and agents get secure, governed access to operational data.