In this course, "Architecting with Google Kubernetes Engine: Workloads," you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.
提供方
課程信息
學生職業成果
20%
20%
您將學到的內容有
Understand the role of the kubectl command
Create and use deployments, and create run jobs and cron jobs
Create services and use load balancers to expose services to external clients
Understand and work with different Kubernetes storage abstractions
學生職業成果
20%
20%
提供方

Google 云端平台
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
教學大綱 - 您將從這門課程中學到什麼
Course Introduction
In this module, you'll become familiar with the structure and layout of the course.
Kubernetes Operations
In this module you will learn about the kubectl command, which is the command line utility used to interact with and manage the resources inside Kubernetes clusters. You'll learn how to connect it to Google Kubernetes Engine clusters, and use it to create, inspect, interact and delete Pods and other objects within Kubernetes clusters. You'll also use kubectl to view a Pod’s console output, and sign in interactively to a Pod.
Deployments, Jobs, and Scaling
GKE works with containerized applications: in other words, applications packaged into hardware-independent, isolated user-space instances. In GKE and Kubernetes, these packaged applications are collectively called workloads. In this module you will learn about Deployments and Jobs, two of the main types of workload. You will also learn about the mechanisms that are used to scale the GKE clusters where you run your applications. You'll learn to control on which Nodes Pods may and may not run. You'll also explore ways to get software into your cluster.
Google Kubernetes Engine (GKE) Networking
In this module, you’ll learn how to create Services to expose applications running within Pods, which allows them to communicate with the outside world. You'll also learn how to create Ingress resources for HTTP or HTTPS load balancing. You'll also learn about GKE's container-native load balancing, which allows you to directly configure Pods as network endpoints with Google Cloud Load Balancing.
Persistent Data and Storage
In this module you’ll learn about the different types of Kubernetes storage abstractions. You’ll learn about StatefulSets and how to use them to manage ordered deployments of Pods and storage. You’ll also learn how ConfigMaps can save you time during application deployment by decoupling configuration artifacts from container definitions. Finally, you’ll learn how to keep sensitive information safer from accidental exposure using Kubernetes Secrets.
審閱
來自ARCHITECTING WITH GOOGLE KUBERNETES ENGINE: WORKLOADS的熱門評論
The course coverage is very good. The lab for config map and secrets needs to be improved in terms of contents description. For the same lab, the duration needs to be increased by 30 min.
Very Good course,Good content for the subject is provided and the hands-on labs gives you a amazing experience in learning.Thanks to the course creators and moderators
one of the best course with extensive lab work. I am thankful to all the instructors, & lab course work creators for such an insightful hands on experience to GKE.
Really good resource to learn to manage kubernetes workloads. I learnt loads of new stuff including Kubernetes jobs, container native load balancing and much more
關於 Architecting with Google Kubernetes Engine 專項課程
The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.

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