In this post, I’ll show you how to allow unauthenticated requests on a Cloud Run service and use the allUsers identity, even if your organization has enabled Domain Restricted Sharing – as many of our larger and security-conscious customers do.  Domain Restricted Sharing is a security feature that prevents you from unintentionally granting permissions on […]

“Cloud Wisdom Weekly: for tech companies and startups” is a blog series dedicated to answering common questions our tech and startup customers ask us about leveraging data and building apps faster, smarter, and cheaper. In this installment, Google Cloud Product Manager Rachel Tsao explores how to save money and accelerate app development with serverless.   Capital […]

There’s never been a better time to talk about multicloud.  It is not simply about ‘lifting-and-shifting’ old IT infrastructure to a cloud for cost savings and convenience, but driving digital transformation by inventing new ways to accomplish business objectives using the best of breed services from different cloud providers.  In fact, industry research finds that […]

To better support equity and opportunity in higher education across the globe, we are pleased to announce the expansion of Google Cloud research, teaching, and learning credits to support additional  countries in Asia Pacific and Latin America. “Credits allow users to learn, build, and discover through hands-on access to the computing power of Google Cloud.” […]

Policy Controller enables the enforcement of fully programmable policies for your clusters. These policies act as “guardrails” and prevent any changes from violating security, operational, or compliance controls at admission time, and post admission, using continuous audit. Through ongoing conversations with platform and security administrators, we have received feedback about increasing visibility into how the […]

Increasingly more enterprises adopt Machine Learning (ML) capabilities to enhance their services, products, and operations. As their ML capabilities mature, they build centralized ML Platforms to serve many teams and users across their organization. Machine learning is inherently an experimental process requiring repeated iterations. An ML Platform standardizes the model development and deployment workflow to […]

Calling all Dataflow developers, operators and users… So you developed your Dataflow job, and you’re now wondering how exactly will it perform in the wild, in particular: How many workers does it need to handle your peak load and is there sufficient capacity (e.g. CPU quota)? What is your pipeline’s total cost of ownership (TCO), […]