Cloud Computing

This post is cowritten with Avdhesh Paliwal from Oldcastle. Oldcastle APG is one of the largest suppliers of construction materials in North America, including asphalt and concrete. The company also provides construction and paving services across more than 150 facilities. As the company migrated from on-premises systems to Infor Cloud ERP hosted on Amazon Web […]

The main stage at Google Cloud Next is where the vision is set. This year, we’re bridging the gap between those massive “Cloud-scale” announcements and your local terminal. We are thrilled to announce the Next ‘26 developer livestreams, a daily broadcast live from the show floor at Google Cloud Next. We aren’t just reporting the

Our new GEAR program, powered by Google Skills, equips every professional with the hands-on AI training needed to build and launch enterprise-ready agents at scale. Anyone can join GEAR for access to AI training and more, including: 35 monthly learning credits to use towards courses and hands-on labs in Google Skills Discord community access to

Today’s developer experience is often spread across dozens of consoles, documentation pages, and sites to stay informed. We know that the friction of jumping between surfaces can slow down the most important part of your day: building. To solve this, we are introducing Builders Hub within Google Developer Program as a new centralized service designed

Editor’s note: In this post, we share joint insights from Raj Gulani, Director of Product Management for Network Experiences, and Dan Rayburn, Industry analyst with 30-plus years of experience covering streaming media. In our combined experience observing and building within the media industry, one truth remains constant: the landscape is always evolving. Audience expectations for

In support of our mission to accelerate the developer journey on Google Cloud, we built Dev Signal: a multi-agent system designed to transform raw community signals into reliable technical guidance by automating the path from discovery to expert creation.  In the first three parts of this series, we laid the essential groundwork by establishing its

For many data professionals, the most daunting part of a new project isn’t the complexity of the data or the sophistication of the model, it’s the “blank slate.” Staring at an empty notebook while creating a data cleaning pipeline from scratch, or searching for the best way to run time-series forecasting can stall your momentum