On-demand activities

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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1186 条结果
  1. 实验 精选

    App Engine: 3 Ways: Challenge Lab

    This challenge lab tests your understanding of how to deploy a sample "hello world" application in the Google App Engine standard environment.

  2. 实验 精选

    Using gsutil to Perform Operations on Buckets and Objects

    In this lab you will use gsutil to create a bucket, then perform operations on objects inside the bucket.

  3. 实验 精选

    Log Analytics on Google Cloud

    In this lab you will learn how to use Cloud Logging to analyze your logs.

  4. 实验 精选

    Using Prometheus for Monitoring on Google Cloud: Qwik Start

    Set up a Google Kubernetes Engine cluster, then deploy the Managed Service for Prometheus to ingest metrics from a simple application.

  5. 实验 精选

    Managing Relationships with Foreign Keys and Interleaved Tables

    In this lab, you create a database with multiple tables, and use both primary-foreign key contraints and interleaved tables to manage relationships.

  6. 实验 精选

    Cloud Logging on Kubernetes Engine

    In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.

  7. 实验 精选

    Connect an App to a Cloud SQL for PostgreSQL Instance

    In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.

  8. 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.

  9. 实验 精选

    Creating and managing SQL pipelines

    Create a BigQuery schema

  10. 实验 精选

    使用 Kubernetes Engine 管理部署

    開發運作的最佳做法,是運用多種部署來管理應用程式部署情境。本研究室提供資源調度和容器管理方法,演練採用多種異質 Deployment 的常見情境。