Meet your business challenges head on with cloud computing services from Google, including data management, hybrid & multi-cloud, and AI & ML.

Learn about cloud computing and how Google Cloud provides scalable infrastructure for building, deploying, and managing applications and services.

3 days ago · Get a basic overview of Google Cloud Platform, learn about overall concepts and gain pointers to our resources. This overview is designed to help you understand the overall landscape of Google Cloud. Here, you'll take a brief look at some of the commonly used features and get pointers to documentation that can help you go deeper.

Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google.

3 days ago · Compute Engine is a computing and hosting service that lets you create and run virtual machines on Google infrastructure. Compute Engine offers scale, performance, and value that lets you easily launch large compute clusters on Google's infrastructure.

Dec 19, 2024 · Explore self-paced training from Google Cloud Skills Boost, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.

Get a basic overview of Google Cloud Platform, learn about overall concepts and gain pointers to our resources. 本概览旨在帮助您从整体上了解 Google Cloud。 您可以简单了解部分常用功能，并找到有助于进一步深入了解的文档链接。

3 days ago · Your App Engine app is created under your Google Cloud project when you create an application resource. The App Engine application is a top-level container that includes the service, version, and instance resources that make up your app.

Hosting Applications on Google Cloud. Google Cloud offers a wide range of options for application hosting. Take a look at the charts below to find out which one is right for your needs.

Oct 31, 2024 · This principle in the operational excellence pillar of the Google Cloud Architecture Framework provides recommendations to help you manage and optimize the resources that are used by your cloud workloads. It involves right-sizing resources based on actual usage and demand, using autoscaling for dynamic resource allocation, implementing cost ...