Sorry, this page is no longer available

We may earn an affiliate commission when you visit our partners.

Google Kubernetes Engine Pipeline using Cloud Build

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until July 14

Coursera Plus Annual

Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Taught by industry leaders, Google Cloud

Develops skills and knowledge in CI/CD that are highly relevant to the software industry

Focuses on hands-on labs and interactive materials to enhance learning

Suitable for individuals seeking to enhance their knowledge and skills in CI/CD

Course content is relevant to both academic and professional settings

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Practical gke ci/cd with cloud build

According to learners, this course provides a highly practical, hands-on experience in building a CI/CD pipeline using Google Kubernetes Engine and Cloud Build. Students frequently highlight its clear, step-by-step instructions, which are excellent for understanding the end-to-end process of automating container image builds and deployments to GKE. While the course is well-regarded for its direct application, a minority of reviewers note that it assumes some prior knowledge of Docker, Kubernetes, and general Google Cloud Platform concepts. Recent feedback suggests that any initial environmental consistency issues have been addressed, making the lab experience smoother. It's ideal for professionals seeking real-world, applicable skills rather than deep theoretical dives.

Primarily a hands-on lab, less focus on underlying theoretical concepts.

"This course is great for 'how-to' but doesn't dive deep into 'why' for each service."

"If you're looking for theoretical depth on GKE or Cloud Build, this isn't it; it's a lab."

"I appreciated the direct, practical application, but some theoretical context would be beneficial for beginners."

Provides essential practical experience in building CI/CD pipelines on GCP.

"This lab is excellent for hands-on experience, exactly what I needed to apply GKE and Cloud Build."

"I really appreciated the practical approach; it helped solidify my understanding of the entire CI/CD flow."

"It's a great practical walkthrough of a real-world use case for automating deployments to Google Kubernetes Engine."

Offers clear, actionable instructions for constructing the pipeline.

"The instructions were very clear and easy to follow, even for complex steps."

"I found the step-by-step guidance incredibly helpful in setting up the pipeline."

"Each phase of the CI/CD pipeline was explained thoroughly with clear steps to follow."

Some encountered issues with lab environment setup or outdated instructions.

"Ran into a few outdated commands that required a quick search, but otherwise manageable."

"I faced issues with the provided environment setup not matching the instructions perfectly..."

"While generally good, I wish the lab environment was always perfectly in sync with the guide."

Assumes prior familiarity with Kubernetes, Docker, and Google Cloud basics.

"If you're new to K8s or GCP, you'll find this very challenging without foundational knowledge."

"I struggled a bit as it expects you to know Docker and basic GKE concepts already."

"Make sure you have a solid understanding of GCP fundamentals before starting this lab."

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 Google Kubernetes Engine Pipeline using Cloud Build with these activities:

Organize Kubernetes resources

Show steps

Prepare for the course by compiling and organizing relevant Kubernetes materials, ensuring you have easy access to essential information.

Show steps

Gather Kubernetes documentation, tutorials, and articles
Create a structured filing system
Use note-taking tools to capture key concepts
Bookmark important websites and resources

Review Linux command line basics

Show steps

Strengthen your foundation by reviewing basic Linux command line operations, ensuring smooth navigation and efficient task completion in the course environment.

Browse courses on Linux Command Line

Show steps

Identify essential Linux commands
Practice file and directory management
Review shell scripting basics
Execute common troubleshooting commands

Participate in Kubernetes study group

Show steps

Join a study group to discuss Kubernetes concepts, share experiences, and reinforce your understanding through peer collaboration.

Show steps

Find or create a Kubernetes study group
Attend regular study sessions
Prepare topics for discussion
Actively participate in discussions
Share knowledge and resources

Four other activities

Expand to see all activities and additional details

Show all seven activities

Explore advanced Kubernetes concepts

Show steps

Enhance your understanding of Kubernetes by delving into advanced topics through guided tutorials, expanding your knowledge and skills.

Browse courses on Kubernetes Concepts

Show steps

Find reputable Kubernetes tutorials
Select topics that align with your interests
Follow the tutorials step-by-step
Experiment with the concepts in your own environment
Share your learnings with others

Create a Kubernetes pipeline

Show steps

Build a complete Kubernetes pipeline to gain practical experience and deepen your understanding of the concepts covered in the course.

Browse courses on CI/CD

Show steps

Set up Google Cloud Platform account
Install Google Cloud SDK
Enable Kubernetes Engine API
Create a Kubernetes cluster
Build a Docker image
Push the image to Artifact Registry
Update Kubernetes manifest
Deploy the application to Kubernetes Engine
Test the application

Solve Kubernetes deployment challenges

Show steps

Practice resolving common Kubernetes deployment issues to build confidence in managing Kubernetes applications.

Browse courses on Kubernetes Deployment

Show steps

Identify common Kubernetes deployment errors
Troubleshoot pod scheduling and termination issues
Debug container image issues
Resolve network and storage problems
Test and verify solutions

Present Kubernetes pipeline project

Show steps

Showcase your understanding of Kubernetes pipelines by presenting your project to an audience, reinforcing your knowledge and communication skills.

Browse courses on Presentation

Show steps

Prepare presentation slides
Create a clear and concise narrative
Practice delivering the presentation
Present to an audience
Seek feedback and make improvements

Career center

Learners who complete Google Kubernetes Engine Pipeline using Cloud Build will develop knowledge and skills that may be useful to these careers:

Site Reliability Engineer

Site Reliability Engineers (SREs) work to ensure that software systems are reliable and always available. This course will help those in this role by providing a strong understanding of the Google Kubernetes Engine (GKE) pipeline using Cloud Build. This will allow SREs to automate the process of building, testing, and deploying container images to GKE, making their work more efficient and effective.

See salaries and explore the career path for Site Reliability Engineer

Cloud Architect

Cloud architects design, build, and manage cloud computing systems. This course can be particularly useful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications, making their work more efficient and effective.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps engineers work to bridge the gap between development and operations teams, ensuring that software is delivered quickly and efficiently. This course can be useful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for DevOps Engineer

Software Engineer

Software engineers design, develop, and maintain software applications. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Software Engineer

Kubernetes Administrator

Kubernetes administrators manage Kubernetes clusters. This course can be particularly useful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Kubernetes Administrator

Cloud Operations Engineer

Cloud operations engineers manage and maintain cloud computing systems. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Operations Engineer

Cloud Security Engineer

Cloud security engineers ensure that cloud computing systems are secure. This course can be useful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Security Engineer

Cloud Developer Advocate

Cloud developer advocates help developers use cloud computing technologies effectively. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Developer Advocate

DevOps Consultant

DevOps consultants help organizations adopt and implement DevOps practices. This course can be useful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for DevOps Consultant

Cloud Solutions Architect

Cloud solutions architects design and implement cloud computing solutions. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Solutions Architect

Cloud Consultant

Cloud consultants help organizations adopt and implement cloud computing technologies. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Consultant

Cloud Engineer

Cloud engineers design, build, and maintain cloud computing systems. This course can be useful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Engineer

Cloud Specialist

Cloud specialists have deep expertise in a particular cloud computing technology, such as GKE. This course can be helpful for those in this role who are working with Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Specialist

Cloud Architect Associate

Cloud architect associates work under the supervision of a cloud architect to design and implement cloud computing solutions. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for Cloud Architect Associate

DevOps Analyst

DevOps analysts work with development and operations teams to identify and resolve issues in the software development process. This course can be helpful for those in this role who are working with GKE. The course will provide them with a strong understanding of how to use Cloud Build to automate the CI/CD process for GKE applications.

See salaries and explore the career path for DevOps Analyst

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Google Kubernetes Engine Pipeline using Cloud Build.

The DevOps 2.4 Toolkit

Save

Covers the best practices for implementing continuous delivery on Kubernetes. It introduces key concepts, such as CI/CD pipelines, container registries, and deployment strategies. It also provides practical examples that you can use to automate and streamline your software delivery process.

The DevOps 2.4 Toolkit

Paperback

Cloud Native DevOps with Kubernetes

Save

Provides a practical guide to implementing DevOps practices in a cloud-native environment. It covers topics such as containerization, continuous delivery, and infrastructure as code. It also includes case studies from real-world companies.

Cloud Native DevOps with Kubernetes: Building,...

Paperback

Cloud Native DevOps with Kubernetes: Building,...

Paperback

$$$

(Deutsch) Cloud Native DevOps mit Kubernetes: Bauen, Deployen...

Kindle Edition

Kubernetes: Up and Running

Save

Comprehensive guide to Kubernetes. It covers everything from basic concepts to advanced topics, such as networking, security, and storage. It great reference for anyone who wants to learn more about Kubernetes.

Kubernetes: Up and Running: Dive into the Future of...

Paperback

Kubernetes: Up and Running

Kindle Edition

Docker Deep Dive

Save

Kubernetes Operators

Save

Provides a gentle introduction to Kubernetes. It covers topics such as basic concepts, installation, and configuration. It great starting point for anyone who wants to learn more about Kubernetes.

Kubernetes Operators: Automating the Container...

Paperback

Kubernetes Operators: Automating the Container...

Kindle Edition

Cloud Native Patterns

Save

Provides a comprehensive overview of Kubernetes networking. It covers topics such as network policies, service meshes, and network troubleshooting. It great reference for anyone who wants to learn more about Kubernetes networking.

Cloud Native Patterns: Designing change-tolerant...

Paperback

Cloud Native Patterns: Designing change-tolerant...

Kindle Edition

Help others find this course page by sharing it with your friends and followers: