Cloud Computing

The rapid change of pace in computing landscapes because of cloud, artificial intelligence, and technology innovation has challenged organizations to keep up while making sure that their initiatives and projects remain compliant with enterprise guidelines and policies. An effective architecture review board (ARB) can help an organization maintain compliance with enterprise guardrails while accelerating implementation […]

Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions, and 350+ sponsoring partners joining us for an incredible Expo show. Attendees enjoyed hands-on learning across AI innovation, data cloud, modern

Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple of days, watching the developer keynote makes it seem like there’s a method to the madness. A coherent picture starts to

Migrating data workloads to BigQuery, our unified Data to AI platform, just got significantly easier. You no longer have to choose between unlocking value from your data assets by migrating to a modern data platform, or mitigating risk by staying put. You can achieve both with BigQuery Migration Services, a collection of free-to-use, cloud-native services

As organizations continue to prioritize cloud-first strategies to accelerate innovation and gain competitive advantage, legacy databases  remain a bottleneck by hindering modernization and stifling growth with unfriendly licensing, complex agreements, and rigid infrastructure.  That’s why this week at Google Cloud Next, we’re announcing that Database Migration Service (DMS) is extending its comprehensive database modernization offering

The transformative power of AI and intelligent agents is driving profound changes, where software can understand natural language questions and commands — and even autonomously act on our behalf. At the heart of this revolution is the “AI-ready” enterprise database, an active, intelligent engine that understands the semantics of structured and unstructured data, and uses

As an object storage service, Google Cloud Storage is popular for its simplicity and scale, a big part of which is due to the stateless REST protocols that you can use to read and write data. But with the rise of AI and as more customers look to run data-intensive workloads, two major obstacles to

For decades, businesses have wrestled with unlocking the true potential of their data for real-time operations. Bigtable, Google Cloud’s pioneering NoSQL database, has been the engine behind massive-scale, low-latency applications that operate at a global scale. It was purpose-built for the challenges faced in real-time applications, and remains a key piece of Google infrastructure, including