Deploying Containerized Workloads Using Google Cloud Kubernetes Engine from Pluralsight

This course deals with the Google Kubernetes Engine, the most robust and seamless way to run containerized workloads on the GCP. Cluster creation, the use of volume storage abstractions, and ingress and service objects are all covered in this course.

Running Kubernetes clusters on the cloud involves working with a variety of technologies, including Docker, Kubernetes, and GCE Compute Engine Virtual Machine instances. This can sometimes get quite involved.

In this course, Deploying Containerized Workloads Using Google Cloud Kubernetes Engine, you will learn how to deploy and configure clusters of VM instances running your Docker containers on the Google Cloud Platform using the Google Kubernetes Service.

First, you will learn where GKE fits relative to other GCP compute options such as GCE VMs, App Engine, and Cloud Functions. You will understand fundamental building blocks in Kubernetes, such as pods, nodes and node pools, and how these relate to the fundamental building blocks of Docker, namely containers. Pods, ReplicaSets, and Deployments are core Kubernetes concepts, and you will understand each of these in detail.

Next, you will discover how to create, manage, and scale clusters using the Horizontal Pod Autoscaler (HPA). You will also learn about StatefulSets and DaemonSets on the GKE.

Finally, you will explore how to share states using volume abstractions, and field user requests using service and ingress objects. You will see how custom Docker images are built and placed in the Google Container Registry, and learn a new and advanced feature, binary authorization.

When you’re finished with this course, you will have the skills and knowledge of the Google Kubernetes Engine needed to construct scalable clusters running Docker containers on the GCP.

What's inside

Syllabus

Course Overview

Introducing Google Kubernetes Engine (GKE)

Creating and Administering GKE Clusters

Deploying Containerized Workloads to GKE Clusters

Monitoring GKE Clusters Using Stackdriver

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches the use of in-demand technology in software development, Kubernetes

Develops fundamental understanding of real-world Kubernetes clusters

Builds a solid foundation for further exploration in containerized workloads

Provides comprehensive coverage of key Kubernetes concepts, from pods to deployments

Empowers learners to create, manage, and scale Kubernetes clusters

Taught by instructors with expertise in the field of Kubernetes

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deploying Containerized Workloads Using Google Cloud Kubernetes Engine with these activities:

GKE Bootcamp for Beginners

Show steps

Enroll in a workshop to quickly grasp the fundamentals of Google Kubernetes Engine in a hands-on setting.

Browse courses on Google Cloud Platform

Show steps

Find a GKE Bootcamp workshop that aligns with your schedule
Register for the workshop
Attend the workshop and actively participate in the hands-on exercises

Walkthrough of the Google Kubernetes Engine documentation

Show steps

The official GKE documentation is an easy way to get familiar with the tool.

Show steps

Read the 'Getting Started' guide
Read the 'Concepts' guide
Read the 'Tutorials' guide

Join a GKE community or forum

Show steps

Networking with others can help answer questions or showcase new techniques.

Show steps

Find a GKE community or forum
Introduce yourself and ask questions
Participate in discussions and share your knowledge

16 other activities

Expand to see all activities and additional details

Show all 19 activities

GKE Resource Compilation

Show steps

Gather and organize essential resources to support your learning, including tutorials, documentation, and reference materials.

Browse courses on Google Kubernetes Engine

Show steps

Search for and identify relevant resources.
Create a centralized repository (e.g., folder or online document) for storing the materials.
Categorize and label the resources for easy retrieval.
Share the resource compilation with peers or the community.

Container Engine Architecture Deep Dive

Show steps

Review and become familiar with the architecture of Google Kubernetes Engine to ensure a foundational understanding before starting the course.

Browse courses on Google Kubernetes Engine

Show steps

Read the Google Kubernetes Engine documentation
Watch the Google Cloud video series on Kubernetes Engine
Complete the Kubernetes Engine Guided Tutorials

Deploy a basic GKE cluster

Show steps

Getting started with GKE is a solid start to understanding how GKE works hands-on.

Show steps

Create a new project in GCP
Enable billing for the project
Enable the Kubernetes Engine API
Create a GKE cluster
Deploy a containerized application to the cluster

Practice using the GKE command-line interface

Show steps

Hands-on practice is a good way to get comfortable with the GKE interface.

Show steps

Create a new namespace
Install the GKE command-line interface
Connect to a GKE cluster
Deploy a containerized application to the namespace

Kubernetes Command Drills

Show steps

Reinforce your understanding of Kubernetes commands through repetitive exercises and simulations.

Browse courses on Google Kubernetes Engine

Show steps

Find or create a set of Kubernetes command drills.
Go through the drills, practicing each command several times.
Check your answers against the expected outputs.
Repeat the drills regularly to improve your command recall and proficiency.

Create and Manage Clusters with Google Cloud CLI

Show steps

Practice creating and managing clusters using the Google Cloud CLI to reinforce concepts.

Browse courses on Kubernetes Engine

Show steps

Create a new GKE cluster using the `gcloud container clusters create` command
Scale the cluster by adding nodes using the `gcloud container clusters update` command
Delete the cluster using the `gcloud container clusters delete` command
Troubleshooting using the `gcloud container clusters get-logs` command

Guided Kubernetes Tutorial

Show steps

Follow online tutorials on GKE to solidify your understanding of core concepts and practical applications.

Browse courses on Google Kubernetes Engine

Show steps

Choose a reputable tutorial platform or website.
Select a tutorial that covers the topics you want to learn.
Work through the tutorial step-by-step, taking notes and experimenting with the examples.
Refer to the tutorial for reference or to refresh your memory.

Kubernetes Study Group

Show steps

Engage with peers to discuss and reinforce concepts covered in the course, ask questions, and troubleshoot together.

Browse courses on Google Kubernetes Engine

Show steps

Find or create a study group with other GKE learners.
Set regular meeting times and topics for discussion.
Come prepared to share your knowledge, ask questions, and engage in discussions.
Take turns leading the discussions and presenting on specific GKE topics.

Build and Deploy a Microservice Application on Kubernetes Engine

Show steps

Apply the concepts learned to a real-world project by building and deploying a microservice application on Kubernetes Engine.

Browse courses on Kubernetes Engine

Show steps

Design the architecture of your microservice application
Develop the microservices using your preferred programming language
Create a Kubernetes cluster and deploy your application
Monitor and manage your application

Kubernetes in Action

Show steps

Gain a comprehensive overview of Kubernetes concepts and practical applications through this in-depth book.

View Kubernetes in Action, Second Edition on Amazon

Show steps

Read through the chapters systematically.
Take notes and highlight key concepts.
Complete the exercises and code examples provided in the book.
Use the book as a reference guide to revisit specific topics as needed.

Create a custom application deployment using GKE

Show steps

A custom application deployment helps showcase your understanding of GKE.

Browse courses on Application Deployment

Show steps

Design the application architecture
Develop the application code
Containerize the application
Deploy the application to GKE

Contribute to Open-Source Kubernetes Projects

Show steps

Actively engage in the Kubernetes community by contributing to open-source projects to reinforce your understanding and make a meaningful contribution.

Browse courses on Kubernetes Engine

Show steps

Identify open-source Kubernetes projects that align with your interests
Review the project documentation and identify areas where you can contribute
Submit bug reports or feature requests
Contribute code or documentation patches

Container Management Plan

Show steps

Create a comprehensive plan outlining your strategy for managing and scaling containerized workloads on GKE.

Browse courses on Google Kubernetes Engine

Show steps

Define the scope and objectives of your plan.
Review best practices and industry standards for container management.
Outline the tools and technologies you will use for monitoring, scaling, and security.
Develop a disaster recovery and backup strategy.
Write up your plan and share it with your team for feedback and approval.

Kubernetes Engine Hackathon

Show steps

Engage in a hackathon to showcase and test your habilidades in working with Google Kubernetes Engine.

Browse courses on Kubernetes

Show steps

Find a Kubernetes Engine Hackathon that interests you
Form a team or work independently
Develop a project using Kubernetes Engine technologies
Submit your project and present it to a panel of judges

Kubernetes Cluster Deployment Project

Show steps

Build a real-world Kubernetes cluster on GKE to apply your knowledge and gain hands-on experience.

Browse courses on Google Kubernetes Engine

Show steps

Define the purpose and requirements of your cluster.
Choose and configure the appropriate Kubernetes distribution.
Set up the cluster infrastructure on GKE.
Deploy and manage containerized workloads on your cluster.
Monitor and maintain the cluster, ensuring its stability and performance.

Deploy a Multi-Tier Application on GKE

Show steps

Challenge yourself by deploying a complex, multi-tier application on GKE, involving multiple containers and services.

Browse courses on Google Kubernetes Engine

Show steps

Design the architecture of your multi-tier application.
Create and configure the necessary Docker containers.
Set up the Kubernetes cluster and deploy your containers.
Configure networking and communication between the containers.
Monitor the application's performance and make adjustments as needed.

Career center

Learners who complete Deploying Containerized Workloads Using Google Cloud Kubernetes Engine will develop knowledge and skills that may be useful to these careers:

Docker and Kubernetes Engineer

Docker and Kubernetes Engineers specialize in the design, implementation, and management of containerized applications using Docker and Kubernetes. This course can be useful for those looking to become Docker and Kubernetes Engineers as it provides a deep dive into GKE, a leading platform for deploying and managing containerized workloads on the cloud. By gaining expertise in GKE, learners can develop the skills needed to design and implement scalable, reliable, and secure containerized applications.

See salaries and explore the career path for Docker and Kubernetes Engineer

Containerization and Orchestration Engineer

Containerization and Orchestration Engineers specialize in the design, implementation, and management of containerized applications and the orchestration systems that manage them. This course can be useful for those looking to become Containerization and Orchestration Engineers as it provides a comprehensive overview of Kubernetes, the leading container orchestration system. By understanding the concepts and best practices for deploying and managing containerized workloads on GKE, learners can gain the skills needed to succeed in this emerging field.

See salaries and explore the career path for Containerization and Orchestration Engineer

Kubernetes Developer

Kubernetes Developers are responsible for the design, development, and maintenance of Kubernetes applications. They work to ensure that applications are running smoothly and efficiently and that they are secure and compliant. This course can be useful for those looking to become Kubernetes Developers as it provides a solid foundation in Kubernetes, including how to create and manage clusters, deploy workloads, and monitor performance. By gaining expertise in Kubernetes, learners can develop the skills needed to build and maintain scalable, reliable, and secure containerized applications.

See salaries and explore the career path for Kubernetes Developer

GKE Administrator

GKE Administrators are responsible for the day-to-day management of GKE clusters. They work to ensure that clusters are running smoothly and efficiently and that they are secure and compliant. This course can be useful for those looking to become GKE Administrators as it provides a comprehensive overview of GKE, including how to create and manage clusters, deploy workloads, and monitor performance. By gaining expertise in GKE, learners can develop the skills needed to succeed in this role.

See salaries and explore the career path for GKE Administrator

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. They work to improve communication and collaboration between these teams and to ensure that software is delivered quickly and efficiently. This course can be useful for those looking to become DevOps Engineers as it provides a solid foundation in Kubernetes, a key technology for automating the deployment and management of containerized applications. By understanding how to use GKE to create and manage clusters, deploy workloads, and monitor performance, learners can gain valuable skills that are in high demand in the DevOps field.

See salaries and explore the career path for DevOps Engineer

Kubernetes Administrator

Kubernetes Administrators are responsible for the day-to-day management of Kubernetes clusters. They work to ensure that clusters are running smoothly and efficiently and that they are secure and compliant. This course can be useful for those looking to become Kubernetes Administrators as it provides a comprehensive overview of Kubernetes, including how to create and manage clusters, deploy workloads, and monitor performance. By gaining expertise in Kubernetes, learners can develop the skills needed to succeed in this role.

See salaries and explore the career path for Kubernetes Administrator

Cloud Engineer

Cloud Engineers are responsible for the design, implementation, and management of cloud-based solutions. They work with a variety of cloud technologies, including Google Cloud Platform (GCP), to build and maintain cloud-based applications and infrastructure. This course can be useful for those looking to become Cloud Engineers as it provides hands-on experience with GKE, a key component of GCP. By learning how to create, manage, and scale GKE clusters, learners can gain valuable skills that are in high demand in the cloud engineering field.

See salaries and explore the career path for Cloud Engineer

Kubernetes Consultant

Kubernetes Consultants help organizations to design, implement, and manage Kubernetes clusters. They work with clients to understand their business needs and then design and implement solutions that meet those needs. This course can be useful for aspiring Kubernetes Consultants as it provides a deep dive into GKE, a leading platform for deploying and managing containerized workloads on the cloud. By gaining expertise in GKE, learners can develop the skills needed to advise clients on how to best use Kubernetes to achieve their business goals.

See salaries and explore the career path for Kubernetes Consultant

Platform Engineer

Platform Engineers are responsible for the design, implementation, and management of cloud platforms. They work to ensure that platforms are running smoothly and efficiently and that they are secure and compliant. This course can be useful for those looking to become Platform Engineers as it provides a deep dive into GKE, a leading platform for deploying and managing containerized workloads on the cloud. By gaining expertise in GKE, learners can develop the skills needed to design and implement scalable, reliable, and secure cloud platforms.

See salaries and explore the career path for Platform Engineer

Cloud Architect

Cloud Architects design, build, and manage cloud-based solutions for organizations. They work with clients to understand their business needs and then design and implement solutions that leverage the capabilities of cloud computing. This course can be useful for aspiring Cloud Architects as it provides a deep dive into Google Kubernetes Engine (GKE), a leading platform for deploying and managing containerized workloads on the cloud. By gaining expertise in GKE, learners can develop the skills needed to design and implement scalable, reliable, and secure cloud-based solutions.

See salaries and explore the career path for Cloud Architect

Technical Architect

Technical Architects design and implement technical solutions for organizations. They work with clients to understand their business needs and then design and implement solutions that meet those needs. This course can be useful for those looking to become Technical Architects as it provides a deep dive into GKE, a leading platform for deploying and managing containerized workloads on the cloud. By gaining expertise in GKE, learners can develop the skills needed to design and implement scalable, reliable, and secure technical solutions.

See salaries and explore the career path for Technical Architect

Site Reliability Engineer (SRE)

Site Reliability Engineers (SREs) are responsible for the reliability and performance of websites and applications. They work to ensure that systems are running smoothly and efficiently and that they are resilient to failures. This course can be useful for those looking to become SREs as it provides a solid foundation in Kubernetes, a key technology for managing and deploying containerized applications. By understanding how to create and manage clusters, deploy workloads, and monitor performance using Stackdriver, learners can gain valuable skills that are in high demand in this field.

See salaries and explore the career path for Site Reliability Engineer (SRE)

Systems Administrator

Systems Administrators are responsible for the day-to-day management of computer systems. They work to ensure that systems are running smoothly and efficiently and that they are secure and compliant. This course can be useful for those looking to become Systems Administrators as it provides a solid foundation in Kubernetes, a key technology for managing and deploying containerized applications. By understanding how to create and manage clusters, deploy workloads, and monitor performance using Stackdriver, learners can gain valuable skills that are in high demand in this field.

See salaries and explore the career path for Systems Administrator

Software Engineer

Software Engineers design, develop, and maintain software applications. They work to ensure that applications are running smoothly and efficiently and that they are secure and compliant. This course can be useful for those looking to become Software Engineers as it provides a solid foundation in Kubernetes, a key technology for managing and deploying containerized applications. By understanding how to create and manage clusters, deploy workloads, and monitor performance using Stackdriver, learners can gain valuable skills that are in high demand in this field.

See salaries and explore the career path for Software Engineer

Backend Developer

Backend Developers are responsible for the design, development, and maintenance of the server-side logic for websites and applications. This course, Deploying Containerized Workloads Using Google Cloud Kubernetes Engine, can be useful for those looking to become Backend Developers as it provides a solid foundation in the fundamentals of Kubernetes, a key technology used to manage and deploy containerized applications. By understanding how to create and manage clusters, deploy workloads, and monitor performance using Stackdriver, learners can gain valuable skills that are highly sought after by employers in this field.

See salaries and explore the career path for Backend Developer