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使用Anthos构建混合云基础架构 | MOOC中国 - 慕课改变你,你改变世界

使用Anthos构建混合云基础架构

Architecting Hybrid Cloud Infrastructure with Anthos

You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.

专项课程计算机云计算
3986 次查看
Google Cloud
Coursera
  • 完成时间大约为 1 个小时
  • 中级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Deploy service mesh control-plane and proxies.

Centrally observe, discover, and monitor your microservices-based applications across clusters.

Define and manage multi-cluster services, using open-source service mesh and multiple control-plane topologies.

Enable consistent policy enforcement across multi-cluster services.

课程概况

This specialization is intended for technical engineers, architects, and administrators using Google Cloud Platform (GCP), Kubernetes, and Istio to create, integrate, or modernize solutions. You will learn modernizing, managing, and observing microservices-based applications that span multiple clusters in GCP, on-premises, or other cloud providers.

包含课程

课程1
Hybrid Cloud Infrastructure Foundations with Anthos

This on-demand course equips students to build reliable and manageable multi-cluster Kubernetes infrastructures using Anthos GKE, whether deployed with Anthos on Google Cloud or with Anthos deployed on VMware. It is a continuation of Architecting with GKE and assumes hands-on experience with the technologies covered in that course.

课程2
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.

课程3
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.

预备知识

Proficiency with with command-line tools and Linux operating system environments and systems operations experience (including deploying and managing Kubernetes-based applications, either on-premises or in a public cloud environment) is helpful in understanding the technologies covered.

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