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Architecting with Google Kubernetes Engine: Workloads

Approx. 16 hours to complete

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Course Summary

Learn how to deploy workloads on Google Kubernetes Engine (GKE) with this comprehensive course. Gain hands-on experience in creating, deploying, and managing containerized applications on GKE.

Key Learning Points

Learn to deploy workloads on GKE using containers
Gain hands-on experience in managing containerized applications
Understand the best practices for deploying workloads on GKE

Job Positions & Salaries of people who have taken this course might have

- USA: $97,000
- India: ₹1,200,000
- Spain: €37,000
- USA: $97,000
- India: ₹1,200,000
- Spain: €37,000
- USA: $115,000
- India: ₹1,500,000
- Spain: €41,000
- USA: $97,000
- India: ₹1,200,000
- Spain: €37,000
- USA: $115,000
- India: ₹1,500,000
- Spain: €41,000
- USA: $120,000
- India: ₹1,800,000
- Spain: €50,000

Learning Outcomes

Create and manage containerized applications on GKE
Deploy and scale workloads on GKE
Understand the best practices for deploying workloads on GKE

Prerequisites or good to have knowledge before taking this course

Familiarity with containerization and Kubernetes
Basic knowledge of cloud computing

Course Difficulty Level

Intermediate

Course Format

Online self-paced
Hands-on labs
Video lectures

Similar Courses

Architecting with Google Kubernetes Engine
Google Cloud Platform Fundamentals for AWS Professionals

Related Education Paths

Related Books

Description

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.

Knowledge

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

Outline

Course Introduction
Course Introduction
Getting Started with Google Cloud Platform and Qwiklabs
Welcome and Getting Started Guide!
How to Send Feedback

Kubernetes Operations
Introduction
The kubectl Command
Introspection
Lab Intro
Lab Intro
Summary
The kubectl Command
Introspection
Kubernetes Operations

Deployments, Jobs, and Scaling
Introduction
Deployments
Ways to Create Deployments
Services and Scaling
Updating Deployments
Rolling Updates
Blue-Green Deployments
Canary Deployments
Managing Deployments
Lab Intro
Jobs and CronJobs
Parallel Jobs
CronJobs
Lab Intro
Cluster Scaling
Downscaling
Node Pools
Controlling Pod Placement
Affinity and Anti-Affinity
Pod Placement Example
Taints and Tolerations
Getting software into your cluster
Lab Intro
Summary
Deployments
Updating Deployments
Jobs
Cluster Scaling
Controlling Pod Placement
Deployments, Jobs, and Scaling

Google Kubernetes Engine (GKE) Networking
Introduction
Pod Networking
Services
Finding Services
Service Types and Load Balancers
How Load Balancers work
Ingress Resource
Container-Native Load Balancing
Network Security
Lab Intro
Lab Intro
Summary
Table: Load balancing objects in GKE
Pod Networking
Services
Service Types
Ingress
Network Security
Google Kubernetes Engine Networking

Persistent Data and Storage
Introduction
Volumes
Volume types
Volume types 2
The PersistentVolume abstraction
More on PersistentVolumes
StatefulSets
Lab Intro
ConfigMaps
Secrets
Lab Intro
Summary
Next steps
Volumes
StatefulSets
ConfigMaps
Secrets
Persistent Data and Storage

Summary of User Reviews

Discover how to deploy workloads on Google Kubernetes Engine (GKE) with this comprehensive course from Coursera. Students love the in-depth coverage of GKE and its features, as well as the hands-on experience gained through labs and exercises.

Key Aspect Users Liked About This Course

The hands-on experience gained through labs and exercises

Pros from User Reviews

In-depth coverage of GKE and its features
Great for beginners and experienced users alike
Clear explanations and helpful examples
Great value for the price
Excellent guidance from instructors

Cons from User Reviews

Some students found the labs to be challenging
Course can be quite technical and may require prior knowledge
Some students felt the pacing was too slow
Not ideal for those looking for a quick overview of GKE
Limited interaction with instructors and other students

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