Cloud Computing

Oviva builds AI meal logging app with Google Cloud

Monitoring food intake is a key factor in maintaining a balanced diet, but traditional documentation can be cumbersome and ineffective. Oviva set out to change this. That’s why we developed an AI-powered meal logging app that simplifies the meal logging process and enhances the quality of feedback people receive, helping them make better dietary decisions. […]

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Supercharge data access performance with GKE Data Cache

Today, we’re excited to announce the general availability (GA) of GKE Data Cache, a powerful new solution for Google Kubernetes Engine to accelerate the performance of read-heavy stateful or stateless applications that rely on persistent storage via network attached disks. By intelligently utilizing high-speed local SSDs as a cache layer for persistent disks, GKE Data

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AI Hypercomputer developer experience enhancements from Q1 25: build faster, scale bigger

Building cutting-edge AI models is exciting, whether you’re iterating in your notebook or orchestrating large clusters. However, scaling up training can present significant challenges, including navigating complex infrastructure, configuring software and dependencies across numerous instances, and pinpointing performance bottlenecks.  At Google Cloud, we’re focused on making AI training easier, whatever your scale. We’re continuously evolving

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Getting AI to write good SQL: Text-to-SQL techniques explained

Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This capability increases developer and analysts’ productivity and empowers non-technical users to interact directly with the data they need.

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Salesforce wants to do for agentic AI what they did for SaaS

Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and

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Expanding our Risk Protection Program with new insurance partners and AI coverage

Today’s businesses have a vital need to manage and, when appropriate, transfer cyber risk in their cloud environments — even with robust security measures in place. At Google Cloud Next last month, we unveiled significant advancements to our Risk Protection Program, an industry-first collaboration between Google and leading cyber insurers that provides competitively priced cyber-insurance

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Revolutionizing agricultural knowledge management using a multi-modal LLM: A reference architecture

Handwritten documents are still an important form of data capture in agribusiness. Paper-based handwritten documents can be the result of business culture, lack of internet connectivity, lack of mobile devices or computers, or environmental conditions in the field or in an industrial setting. Because of the physical nature of the document, there might be a

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Introducing Cassandra-compatible APIs in Spanner for zero-code-change migration

You heard at Next ‘25 that native support for the Cassandra Query Language (CQL) API in Spanner is available in preview, providing near-zero code-change application migration, along with a suite of complementary tools for zero-downtime data migration.  Spanner is known for its robust SQL support, ACID transactions, and change data capture (CDC), provided as a

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Simplify database fleet management with AI-powered Database Center, now GA

At Google Cloud Next 25, we announced the general availability of Database Center, an AI-powered unified fleet management solution that simplifies all aspects of database fleet management including monitoring, optimization, and security.  Database Center replaces fragmented tools, complex scripts, APIs, and other error-prone workflows that companies use to monitor their database fleets, delivering an integrated

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