按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 700 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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  • 徽章
  • 格式
  • 级别
  • 时长
  • 语言

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 提供了一个托管式环境,您可以使用 Google 基础设施在其中部署、管理和扩缩容器化应用。本动手实验将介绍如何使用 Kubernetes Engine 部署一个容器化应用。

  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

    DevOps 最佳实践是利用多个部署来管理应用部署场景。本实验将提供关于扩缩和管理容器方面的练习,以实现使用多个异构部署的常见部署场景。

  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.