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), […]

Your application’s users expect a certain amount of reliability and predictability, so we want to make it easier for you to identify the commitments behind the Google Maps Platform services that power your applications. Consistent launch stages communicate the capabilities, support, and production-readiness of the products and features you’re using. To make it easier for […]