Cloud Computing

This post was co-written with JB Brown from Smartsheet. Organizations are often seeking ways to enhance developer productivity while maintaining cost-efficiency. AI-powered coding assistants are effective solutions to accelerate development cycles, but implementing these solutions at scale while managing costs presents unique challenges. Roo Code, an AI-powered autonomous coding agent located directly in developers’ editors, […]

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

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

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.

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

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