70 apps in 2 years: How Renault tackled database migration
Editor’s note: Renault, the French automaker, embarked on a wholesale migration of its information systems—moving 70 applications to Google Cloud. Here’s how they migrated from Oracle databases to Cloud SQL for PostgreSQL. The Renault Group, known for its iconic French cars has grown to include…
Unify data lakes and warehouses with BigLake, now generally available
Data continues to grow in volume and is increasingly distributed across lakes, warehouses, clouds, and file formats. As more users demand more use cases, the traditional approach to build data movement infrastructure is proving difficult to scale. Unlocking the full potential of data requires breaking…
Cloud Ace Establishes Its First Subsidiary in India
Built as the foundation for expansion in Asian markets with Google Cloud On June 30, 2022, Cloud Ace Inc. (headquarters: Chiyoda-ku, Tokyo; President and CEO: Makoto Aoki; hereafter “Cloud Ace”) announced the establishment of a new subsidiary in India. India is the second most important…
Build your perfect Google Cloud infrastructure using Terraform and the gcloud CLI
Infrastructure-as-Code (Iac) tools like Terraform are experiencing fast growing adoption by the developer community. This is no surprise because they greatly simplify the operational overhead associated with deploying and managing cloud infrastructure. In support of this growing trend, today Google are pleased to announce Google Cloud CLI’s preview release…
Standing shoulder to shoulder – building a resilient healthcare ecosystem with Health-ISAC
Building a resilient healthcare ecosystem is not something done within a vacuum. It takes motivated organizations and people working together in a community of trust to build and defend effectively. Google believe the more diverse these communities are, the more effective they can be. Last…
Announcing new simple query options in Cloud Logging
When you’re troubleshooting an issue, finding the root cause often involves finding specific logs generated by infrastructure and application code. The faster you can find logs, the faster you can confirm or refute your hypothesis about the root cause and resolve the issue. Today, Google…
Using Google Kubernetes Engine’s GPU sharing to search for neutrinos
Editor’s note: Today we hear from the San Diego Supercomputer Center (SDSC) and University of Wisconsin-Madison about how GPU sharing in Google Kubernetes Engines is helping them detect neutrinos at the South Pole with the gigaton-scale IceCube Neutrino Observatory. IceCube Neutrino Observatory is a detector at…
Twitter: gaining insights from Tweets with an API for Google Cloud
Editor’s note: Although Twitter has long been considered a treasure trove of data, the task of analyzing Tweets in order to understand what’s happening in the world, what people are talking about right now, and how this information can support business use cases has historically…
Moving off CentOS? Introducing Rocky Linux Optimized for Google Cloud
As CentOS 7 reaches end of life, many enterprises are considering their options for an enterprise-grade, downstream Linux distribution on which to run their production applications. Rocky Linux has emerged as a strong alternative that, like CentOS, is 100% compatible with Red Hat Enterprise Linux. In April…
Apigee best practices for Contact Center AI
By now, you’ve probably interacted with a customer service chatbot at some point. However, many of those interactions may have left a lot to be desired. Modern consumers generally expect more than a simple bot that answers questions with predefined answers—they expect a virtual agent…
Making AI more accessible for every business
Alphabet CEO Sundar Pichai has compared the potential impact of artificial intelligence (AI) to the impact of electricity—so it may be no surprise that at Google Cloud, they expect to see increased AI and machine learning (ML) momentum across the spectrum of users and use cases. Some…
Building AI in the cloud: An easier way with Google Cloud and NVIDIA
NVIDIA GPU-powered instances on Google Cloud provide an optimal platform for organizations to develop their AI applications on the latest hardware and software stack, then seamlessly deploy those applications at scale in production. Simplifying Workflows to Speedup AI Developments NVIDIA recently announced the One Click…