Engineering Insights

Evolving Dataflow to process massive datasets for machine learning

Google created MapReduce more than 20 years ago to solve the scaling problems in data processing that the then young company was running into. The AI era that we are in now demands efficient, large-scale data processing for everything from training frontier models like Gemini by Google DeepMind to powering fully autonomous vehicles like Waymo.  Many aspects of machine learning, including data ingestion, transformation, and feature extraction, rely heavily on processing massive datasets. To meet

Nano Banana 2 and Nano Banana Pro are generally available, and already powering creative workflows

Organizations are unlocking entirely new ways to use image generation and editing across their industries. To drive next-generation experiences, businesses are embedding AI directly into creative, agentic workflows. But next-gen workflows require enterprise-grade AI you can trust.  What’s new: To help customers continue their creative journey securely, we are announcing Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image) are generally available (GA) today via Gemini E

Go from resource-level to business-level maintenance in Google Cloud

Managing planned maintenance is a critical part of running a reliable business. But as your cloud footprint grows into hundreds or even thousands of projects, keeping track of every individual update can feel like a full-time job. For many platform teams, the reality is a disjointed experience: jumping between dashboards to figure out which maintenance event affects which business service. At Google Cloud, we believe you shouldn’t have to think like an infrastructure manager when you’re trying t

Steam Deck sells out in North America within 24 hours of price hike

Europe, Australia, and Asia can still get it while the getting's good.

That’s a wrap: Everything Flutter at Google I/O 2026

Agentic AI Isn't Risky; the Way Orgs Deploy It Is

AI agents aren't black boxes — they're models interacting with software tools. The risk lies in their overlap.

Threat Actors Exploit Critical FortiClient EMS Flaw to Deploy Credential Stealer

Threat actors are continuing to exploit a critical, now-patched security flaw impacting FortiClient Endpoint Management Server (EMS) deployments to deliver credential-stealing malware. "The campaign abused trusted endpoint management infrastructure to deliver malware across managed endpoints," Arctic Wolf said. "Threat actors disguised the credential stealer payload as a Fortinet endpoint

The Permanent Upper Crow

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