This course will teach you how to containerise workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
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What you’ll learn
This course teaches participants the following skills:
Understand how software containers work.
Understand the architecture of Kubernetes.
Understand the architecture of Google Cloud.
Understand how pod networking works in Kubernetes Engine.
Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/ kubectl commands.
Google Cloud at DDLS
DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
30 years driving innovative, award-winning learning solutions
More Courses, More Often
When you train with DDLS you get more courses, more often, in more locations and from more vendors.
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
30 years driving innovative, award-winning learning solutions
More Courses, More Often
When you train with DDLS you get more courses, more often, in more locations and from more vendors.
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Partner-Preferred Supplier
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Train Anywhere
From our state-of-the-art classrooms to telepresence to your offices, our instructor-led training caters to your needs.
Track Record
30 years driving innovative, award-winning learning solutions
More Courses, More Often
When you train with DDLS you get more courses, more often, in more locations and from more vendors.
Who is the course for?
This course is intended for the following participants:
Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers
Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.
Course subjects
Module 1: Introduction to Google Cloud
Use the Google Cloud Console.
Use Cloud Shell.
Define Cloud Computing.
Identify Google Cloud compute services.
Understand regions and zones.
Understand the Cloud resource hierarchy.
Administer your Google Cloud resources.
Module 2: Containers and Kubernetes in Google Cloud
Create a container using Cloud Build.
Store a container in Container Registry.
Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE).
Understand how to choose among Google Cloud Compute platforms.
Module 3: Kubernetes Architecture
Understand the architecture of Kubernetes: pods, namespaces.
Understand the control-plane components of Kubernetes.
Create container images using Cloud Build.
Store container images in Container Registry.
Create a Kubernetes engine cluster.
Module 4: Introduction to Kubernetes Workloads
The kubectl command.
Introduction to deployments.
Pod networking.
Volumes overview.
Prerequisites
To get the most out of this course, participants should have:
Basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx.
Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.
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