Introducing App Hub Cloud applications depend on a complex interaction of services and cloud resources that they depend on — think databases, load balancers, and Kubernetes clusters. Developers spend significant time and effort navigating and classifying these to understand their composition and dependencies. This can be not only time-consuming, but fragile. While you may start […]

Confidential Computing can help organizations process sensitive data in the cloud with strong guarantees around confidentiality. We’ve continued to make strides in maturing this important technology, and are collaborating with industry leaders including Intel, AMD, and NVIDIA on advancing Confidential Computing solutions.  Today at Google Cloud Next, we are excited to announce advancements in our […]

Over the past year, vector databases have skyrocketed in popularity, and have become the backbone of new semantic search and generative AI experiences. Developers use vector search for everything from product recommendations, to image search, to enhancing LLM-powered chatbots with retrieval augmented generation (RAG). PostgreSQL is one of the most popular operational databases on the […]

Generative AI is changing the way we create, innovate, and interact with the world. From generating realistic images and videos to composing music and writing code, gen AI models are pushing the boundaries of what’s possible. But achieving the heights of AI’s promises hinges on a scalable storage foundation. At Google Cloud, we’re committed to […]

Eighty percent of data leaders believe that the lines between data and AI are blurring. Using large language models (LLMs) with your business data can give you a competitive advantage, but to realize this advantage, how you structure, prepare, govern, model, and scale your data matters.  Tens of thousands of organizations already choose BigQuery and […]