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.
Architecting with Google Kubernetes Engine: Workloads
This course is part of Architecting with Google Kubernetes Engine Specialization
Taught in English
Instructor: Google Cloud Training
Sponsored by University of Virginia
31,635 already enrolled
Course
(1,231 reviews)
84%
What you'll learn
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
Skills you'll gain
Details to know
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There are 5 modules in this course
In this module, you'll become familiar with the structure and layout of the course.
What's included
1 video2 readings
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.
What's included
7 videos3 quizzes2 app items
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.
What's included
24 videos6 quizzes3 app items
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.
What's included
12 videos1 reading6 quizzes2 app items
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.
What's included
12 videos1 reading5 quizzes2 app items
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