Cloud Computing

Written by: Mohamed El-Banna, Daniel Lee, Mike Stokkel, Josh Goddard Overview Last year, Mandiant published a blog post highlighting suspected Iran-nexus espionage activity targeting the aerospace, aviation, and defense industries in the Middle East. In this follow-up post, Mandiant discusses additional tactics, techniques, and procedures (TTPs) observed in incidents Mandiant has responded to. Since mid-2024, […]

We’re excited to launch the Production-Ready AI with Google Cloud Learning Path, a free series designed to take your AI projects from prototype to production. This page is the central hub for the curriculum. We’ll be updating it weekly with new modules from now through mid-December. Why We Built This: Bridging the Prototype-to-Production Gap Generative

The landscape of generative AI is shifting. While proprietary APIs are powerful, there is a growing demand for open models—models where the architecture and weights are publicly available. This shift puts control back in the hands of developers, offering transparency, data privacy, and the ability to fine-tune for specific use cases. To help you navigate

Editor’s note: The post is part of a series that highlights how organizations leverage Google Cloud’s unique data science capabilities over alternative cloud data platforms. Google Cloud’s vector embedding generation and search features are unique for their end-to-end, customizable platform that leverages Google’s advanced AI research, offering features like task-optimized embedding models and hybrid search

Cloud infrastructure reliability is foundational, yet even the most sophisticated global networks can suffer from a critical issue: slow or failed recovery from routing outages. In massive, planetary-scale networks like Google’s, router failures or complex, hidden conditions can prevent traditional routing protocols from restoring service quickly, or sometimes at all. These brief but costly outages

In the fast-evolving world of agentic development, natural language is becoming the standard for interaction. This shift is deeply connected to the power of operational databases, where a more accurate text-to-SQL capability is a major catalyst for building better, more capable agents. From empowering non-technical users to self-serve data, to accelerating analyst productivity, the ability

Editor’s note: Waze (a division of Google parent company Alphabet) depends on vast volumes of dynamic, real-time user session data to power its core navigation features, but scaling that data to support concurrent users worldwide required a new approach. Their team built a centralized Session Server backed by Memorystore for Redis Cluster, a fully managed

Welcome back to The Agent Factory! In this episode, we’re joined by Ravin Kumar, a Research Engineer at DeepMind, to tackle one of the biggest topics in AI right now: building and training open-source agentic models. We wanted to go beyond just using agents and understand what it takes to build the entire factory line—from