Google Cloud
Architecting with Google Kubernetes Engine: Workloads
Google Cloud

Architecting with Google Kubernetes Engine: Workloads

This course is part of Architecting with Google Kubernetes Engine Specialization

Taught in English

31,712 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(1,233 reviews)

|

84%

Intermediate level
Some related experience required
15 hours (approximately)
Flexible schedule
Learn at your own pace

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

Details to know

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Assessments

20 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(1,233 reviews)

|

84%

Intermediate level
Some related experience required
15 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Architecting with Google Kubernetes Engine Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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

Instructor

Instructor ratings
4.6 (174 ratings)
Google Cloud Training
Google Cloud
1,451 Courses2,600,423 learners

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Google Cloud

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