按需活动

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 700 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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20 条结果

  1. 实验 精选

    Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud

    In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.

  2. 实验 精选

    Monitoring and Managing Bigtable Health and Performance

    In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.

  3. 实验 精选

    Google Kubernetes Engine:Qwik Start

    Google Kubernetes Engine 提供代管環境,讓您透過 Google 基礎架構部署、管理容器化應用程式及調度資源。本實作研究室將說明如何利用 Kubernetes Engine 部署容器化應用程式。

  4. 实验 精选

    Understanding and Combining GKE Autoscaling Strategies

    In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.

  5. 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。本研究室將提供資源調度和容器管理方法,演練採用多種異質部署的常見情境。

  6. 实验 精选

    Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

    This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric

  7. 实验 精选

    Optimize Costs for Google Kubernetes Engine: Challenge Lab

    This lab offers a series of challenges that involve deploying, scaling, and maintaining a cluster application while optimizing resource usage.

  8. 实验 精选

    Scaling VM-Series to Secure Google Cloud Networks

    Secure Google Cloud hub-and-spoke topology with VM-Series at scale.

  9. 实验 精选

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  10. 实验 精选

    GKE Autopilot: Qwik Start

    GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.