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！
122 条结果
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实验 精选 Installing Anthos Service Mesh on Google Kubernetes Engine
In this lab you will install the Anthos Service Mesh, and use it with the Bookinfo microservices application, all on a GKE cluster.
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实验 精选 Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh
In this lab you will install the Anthos Service Mesh, and deploy a resnet model, all on a GKE cluster.
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课程 精选 Anthos on Bare Metal
Course three of the Anthos series prepares students to run Anthos in a customer’s on-premises environment, on bare metal.Through presentations and hands-on labs, participants explore deploying and running Anthos applications on bare metal, creating the Anthos infrastructure, deploying applications, and performing …
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课程 精选 Hybrid Cloud Infrastructure Foundations with Anthos
Welcome to Hybrid Cloud Infrastructure Foundations with Anthos! This is the first course of the Architecting Hybrid Cloud Infrastructure with Anthos path. Anthos enables you to build and manage modern applications, and gives you the freedom to choose where to run them. Anthos gives you one consistent experience …
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课程 精选 Hybrid Cloud Modernizing Applications with Anthos
Course four of the Anthos series prepares students to consider multiple approaches for modernizing applications and services within Anthos environments. Topics include optimizing workloads on serverless platforms and migrating workloads to Anthos. This course is a continuation of course three, Anthos on Bare Metal…
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课程 精选 Hybrid Cloud Multi-Cluster with Anthos
This on-demand course equips students to understand, configure, and maintain multi-cluster Kubernetes infrastructures using Anthos GKE, and Istio-based service mesh, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. This is the third, and final, course of the Architecting Hybrid Clou…
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课程 精选 Multi-Cluster, Multi-Cloud with Anthos
Course one of the Architecting Hybrid Cloud with Anthos series introduces participants to manage multi-cloud and hybrid Kubernetes deployments using Anthos. Through presentations and hands-on labs, participants explore planning and creating Anthos environments and building manageable and reliable multi-cluster Kub…
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课程 精选 Cloud Operations and Service Mesh with Anthos
Course two of the Architecting Hybrid Cloud with Anthos series prepares students to operate and observe Anthos environments. Through presentations and hands-on labs, participants explore adjusting existing clusters, setting up advanced traffic routing policies, securing communication across workloads, and observin…
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课程 精选 Hybrid Cloud Service Mesh with Anthos
This on-demand course equips students to understand and adopt Istio-based service-mesh with Anthos for centralized observability, traffic management, and service-level security. This is the second course of the Architecting Hybrid Cloud Infrastructure with Anthos series. After completing this course, learners sho…
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实验 精选 Deploying Redis Enterprise for GKE and Serverless App on Anthos Bare Metal
In this lab you will learn how to create Compute Engine VMs on Google Cloud to simulate Anthos on Bare Metal (BM) in high-availability mode, install Anthos Service Mesh and Knative on the BM cluster, deploy Redis Enterprise for GKE and a Serverless application, then run a load test.
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课程 精选 Google Kubernetes Engine Best Practices: Security
Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.
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课程 精选 Architecting with Google Kubernetes Engine: Production
In this course, "Architecting with Google Kubernetes Engine: Production," you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE. This is the final course of the Architecting with Google Kubern…
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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。
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课程 精选 Getting Started with Apache Kafka and Confluent Platform on Google Cloud
Organizations around the world rely on Apache Kafka to integrate existing systems in real time and build a new class of event streaming applications that unlock new business opportunities. Google and Confluent are in a partnership to deliver the best event streaming service based on Apache Kafka and to build event…
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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
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实验 精选 Creating and Alerting on Logs-based Metrics
In this hands-on lab learn how to create log-based metrics and view the alerts in Cloud Monitoring
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实验 精选 Monitoring Multiple Projects with Cloud Monitoring
In this hands-on lab we take a look through some of the information provided by the Cloud Monitoring tools, and teach some of the concepts you will need to know to take advantage of Cloud Monitoring effectively.
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实验 精选 Monitoring and Logging for Cloud Functions
Use Cloud Monitoring to view Cloud Functions details in the Google Cloud console, and Cloud Logging to look at the data for your cloud function.
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课程 精选 Monitoring in Google Cloud
Earn a skill badge by completing the Monitoring in Google Cloud quest, where you learn how to use Cloud Monitoring tools. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in…
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实验 精选 How to Use a Network Policy on Google Kubernetes Engine
In this lab you learn how to improve the security of your Kubernetes Engine by applying fine-grained restrictions to limit intra-cluster network communication.
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实验 精选 Using Role-based Access Control in Kubernetes Engine
After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.
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实验 精选 Cloud Operations for GKE
In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster
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实验 精选 Using Cloud Trace on Kubernetes Engine
This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Cloud…
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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.
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实验 精选 Deploy, Scale, and Update Your Website on Google Kubernetes Engine
Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.
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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.).
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实验 精选 Debugging Apps on Google Kubernetes Engine
This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.
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实验 精选 Deploy Kubernetes Load Balancer Service with Terraform
In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.
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实验 精选 App Dev: Deploying the Application into Kubernetes Engine - Python
In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.
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实验 精选 Continuous Delivery with Jenkins in Kubernetes Engine
In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.
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实验 精选 Setting up Jenkins on Kubernetes Engine
This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.
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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。
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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.
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实验 精选 Google Kubernetes Engine Pipeline using Cloud Build
Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.
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实验 精选 Implement DevOps Workflows in Google Cloud: Challenge Lab
This challenge labs tests your skills in implementing a CI/CD pipeline using Cloud Build, Cloud Source Repositories, and GKE.
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实验 精选 Distributed Load Testing Using Kubernetes
Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.
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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.
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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.
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课程 精选 Implement DevOps Workflows in Google Cloud
Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container…
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实验 精选 Setting up a Private Kubernetes Cluster
Hands-on lab for creating a private cluster in the cloud environment. In a private cluster, nodes do not have public IP addresses, so your workloads run in an environment that is isolated from the Internet. Prerequisites: Experience with Kubernetes Clusters, and CIDR-range IP address.
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实验 精选 Awwvision: Cloud Vision API from a Kubernetes Cluster
This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit's /r/aww subreddit and display the labelled results in a web app.
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实验 精选 GKE Workload Optimization
This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container native load balancing, application load testing, readiness and liveness probes, and pod disruption …
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实验 精选 在 Compute Engine 上实现负载均衡：实验室挑战赛
此实验室挑战赛旨在检验您通过在 Compute Engine 上实现负载均衡技能徽章课程的各个实验所掌握的技能和知识。在尝试此挑战赛之前，您应该先熟悉各个实验的内容。
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实验 精选 开发 Google Cloud 网络：实验室挑战赛
此实验室挑战赛旨在检验您通过“开发 Google Cloud 网络”技能徽章课程的各个实验所掌握的技能和知识。在尝试此挑战赛之前，您应该先熟悉各个实验的内容。
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实验 精选 VPC Networking Fundamentals
In this lab you create an auto-mode VPC network with firewall rules and 2 VM instances, then explore the connectivity for the VM instances.