Cloud Computing

ยินดีต้อนรับสู่ Google Cloud, Thailand! (Welcome to Google Cloud, Thailand!) Thai businesses and public sector institutions share a common goal: to deliver high performance applications with low latency, while ensuring that valuable data remains securely within the country. Today, Google Cloud is addressing that challenge by launching our new cloud region in Bangkok — a key […]

A hallmark of a valuable database is how easy it is to query the data inside, so that developers can build tailored and complex user experiences in an application. Last week marked a significant evolution for Firestore, Google Cloud’s enterprise-grade, scalable document database, with the debut of an advanced query engine designed to help you

The Gemini 3 family of models, our most intelligent yet, features state-of-the-art reasoning to help you learn, build, and plan anything. Within this family, Gemini 3 Flash is designed for speed and efficiency, offering high performance in complex reasoning, multimodal understanding, agentic, and “vibe coding” tasks with Flash-level latency and cost. This blend of powerful reasoning and efficiency

Enterprises across the world are processing significant amounts of data. Palo Alto Networks processes thousands of firewall logs, telemetry signals and threat events every second across its product portfolio. To support this scale, Palo Alto Networks had 30,000 individual data pipelines, each with its own operational load. And while this single tenant architecture model worked

Welcome to the first Cloud CISO Perspectives for January 2026. Today, Tom Curry and Anton Chuvakin, from Google Cloud’s Office of the CISO, share our new report on using Google’s Secure AI Framework with Google Cloud capabilities and services to build boldly and responsibly with AI. As with all Cloud CISO Perspectives, the contents of

In our agent factory holiday special, Don McCasland and I were joined by Kyle Meggs, Senior Product Manager on the TPU Training Team at Google, to dive deep into the world of model fine tuning. We focused specifically on reinforcement learning (RL), and how Google’s own infrastructure of TPUs are designed to power these massive