按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 980 多项学习活动供您选择,我们设计的目录完整全面,充分考虑了您的需求。该目录包含各种可供您选择的活动形式,既有简短的单个实验,也有由视频、文档、实验和测验组成的多模块课程,您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据,以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度,完成学习活动即可赢取徽章!

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17 条结果

  1. 实验 精选

    Leverage the Autoscaler Tool for Cloud Spanner to Achieve Workload Elasticity

    In this lab you'll deploy the open-source Autoscaler tool for Cloud Spanner, a companion tool to Cloud Spanner, in the per-project configuration where the autoscaler tools are located in the same project as the Cloud Spanner instance being autoscaled.

  2. 实验 精选

    Deploying Spanner Applications with Cloud Functions and Cloud Run

    In this lab, you write applications that utilize Spanner databases, and deploy them to both Cloud Functions and Cloud Run. You also install, configure, and enable the Spanner emulator for use in development environments.

  3. 课程 精选

    MySQL to Cloud Spanner

    Migration from MySQL to Cloud Spanner using Dataflow that includes sample mock data and all necessary steps with initial assessment to validation including taking care of migrating users and grants.

  4. 实验 精选

    Getting Started with Gaming on Cloud Spanner

    In this lab, you will implement a player profile service and a game matchmaking service to work with Cloud Spanner.

  5. 课程 精选

    Building Scalable Java Microservices with Spring Boot and Spring Cloud

    ¨Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand res…

  6. 实验 精选

    Creating Spanner Instances and Databases (Console)

    In this lab, you create Spanner instances and databases using the Google Cloud Console.

  7. 实验 精选

    Creating Spanner Instances and Databases (CLI and Terraform)

    In this lab, you automate the creation of Spanner instances and databases using the Google Cloud SDK, the Command Line Interface (CLI), and Terraform.