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Automate Your Deployments on Kubernetes with GitHub Actions and Argo GitOps

4.6

(13 ratings)

·

2 Weeks

·

Cohort-based Course

Mature DevOps needs automation. Skip the pain of inventing workflows and implement my real-world templates for build-test-deploy pipelines.

Course overview

Rescue your team's confidence in production updates with workflows and GitOps

Raise your production success and lower your stress by empowering your team with self-service automations and deployment dashboards. You'll apply my Cloud Native DevOps automation design constructed from my years of successful implementations for multiple organizations.

This course is for:

01

DevOps engineers who want to automate their testing and deployment workflows with GitHub

02

Build engineers who struggle with moving off legacy CI/CD tools to GitHub Actions

03

Software engineers who are sick of the lack of automation and deployment status in their software lifecycle

What's in it for you?

Ship code faster and with greater visibility and reliability

Building, testing, and deploying your apps to Kubernetes should be easier! Discover how GitHub Actions and Argo CD can get your time back.

Advance your GitHub Actions experience and implement container lifecycle automation

You'll use real-world templates to start automated container builds, CVE scans, testing, linting, and more. Security best practices are also provided.

Discover how others are solving their DevOps and automation needs

With small group cohort-based learning, you can share and collaborate with other DevOps teams on workflow ideas and how they approach solving business problems with automation.

Customize the pieces in class to fit your requirements

You'll add my templates to your own GitHub repos to start seeing benefits immediately. Combine best-of-breed tools into a simple and low-maintenance design.

Achieve full control and awareness of your deployments with GitOps

Implement Argo CD for your own GitOps-based infrastructure-as-code design across multiple environments. Provide the team with the detailed deployment dashboard they've been looking for.

Course schedule

Total 12 hrs: 6 hrs/week for 2 weeks

  • Week 1, Mon & Wed

    12:00pm - 2:00pm US ET (UTC-4)

    Live workshops: slides, demos, and small group discussion.

  • Week 1, Fri

    12:00pm - 2:00pm US ET (UTC-4)

    Optional co-working workshop to customize what you're learning to fit your requirements.

  • Week 2, Mon & Wed

    12:00pm - 2:00pm US ET (UTC-4)

    Live workshops: slides, demos, and small group discussion.

  • Week 2, Fri

    12:00pm - 2:00pm US ET (UTC-4)

    Optional co-working workshop to customize what you're learning to fit your requirements.

Course outline

01

Workshop 1: GitHub Actions basics and build+test workflows

Study GitHub Actions basics and jump in with Docker builds and application testing.

02

Workshop 2: Advanced workflows for DevOps

Further enhance your GitHub Actions workflows with linting, Kubernetes smoke-testing, CVE scanning, and temporary clusters.

03

Co-working, week 1

Customize what you've learned for your own projects. No new content. This is focused time for implementing what you have learned. We'll be online together so I can answer your questions. This workshop is optional.

04

Workshop 3: Automate your app deployments to Kubernetes

Use infrastructure-as-code and Argo CD to implement GitOps best practices. This workshop will automate your app deployments to Kubernetes.

05

Workshop 4: Tie it all together

GitHub Actions and Argo CD complement each other in providing an end-to-end workflow from code commit to production deploy. Round out the solution by understanding where humans should get involved and what should be automated. We will smooth out your pipelines based on your team’s make-up and requirements.

06

Co-working, week 2

Customize what you've learned for your own projects. No new content. This is focused time for implementing what you have learned. We'll be online together so I can answer your questions. Show off your work. This workshop is optional.

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What people are saying

        Bret gives us ready-made plans to work with, which helped me get started quickly. I learned a lot about GitHub Actions deployments into Docker and K8s with Argo GitOps. I got to talk to other DevOps people and ask questions of Bret. If you're like me and want to get better at DevOps, I totally recommend this cohort style hands on practical course.
Anton Evseev

Anton Evseev

Middle DevOps Engineer
        I truly enjoyed the interaction within the cohort and open dialog w/Bret. I really learned a lot about ArgoCD that will help with my team's implementation.
David Barringer

David Barringer

Director of Platform Engineering
        Bret's course is an exemplary piece of educational material. It's well-structured, comprehensive, and makes the potentially complex topic of CI/CD accessible to learners at various levels of understanding. This is not merely a course; it is an investment in enhancing your skills and knowledge in the rapidly evolving field of DevOps.
Vladimir Mikhalev

Vladimir Mikhalev

Senior DevOps Engineer
        This course is great because I knew it's not just about learning Github Actions or ArgoCD. We can find a lot of documentation and videos about them on the internet, but here Bret conveys his experiences from real world scenarios.
Payam Saderi

Payam Saderi

DevOps Engineer
        Bret is a charismatic trainer who is easy to follow and he's always willing to answer questions. The course takes you from zero to hero in GitHub and Argo CD, where you learn from Bret's experience and pains of multiple setups and use cases. That's where the real value came from for me. Thoroughly enjoyed it and learned a lot. Thank you!
Stephen Bennett

Stephen Bennett

Head of DevOps
        Lots of courses are good - the rare and real advantage is the ability of the instructor to actually teach and the effectiveness of the presentations in conjunction with hands on assignments to get the material across. I've gotten more than I've gotten from almost any other class I've taken, online or in person.
William Sadler

William Sadler

Enterprise Data Scientist specializing in Machine Learning, AI, and Advanced Analytics
        It was a great course, Bret knows/loves the topic and teaches the class well, whether its straight teaching or fostering discussion.
Maxwell Flanders

Maxwell Flanders

Cloud Ops Engineer ||

Hi 👋 I'm Bret

Bret Fisher

Bret Fisher

Container pro. DevOps advisor.

Thanks for considering my course. I'm a DevOps, Docker, and Kubernetes trainer, consultant, speaker, and Open Source volunteer. For 25+ years I have built and operated distributed systems.


Since 2017, my courses, live workshops, and conference talks on containers and DevOps have reached more than 350,000 people worldwide. The first course I made was a Docker course on Udemy and it quickly grew to be #1 in the topic. In total, I've published four large courses, two of which continue to hold the position of Best Seller courses. Fun fact, even Docker, Inc. uses my Docker Mastery course to train their new-hires.


I'm also a practitioner. For the past 12 years, I have consulted and advised companies big and small, digging into DevOps projects and leading teams to "containerize" their apps and systems, improve their speed of deployment, resiliency, metrics, and awareness.


Efficiency and effectiveness are pet peeves of mine, so it makes sense that I love the scope of automating workflows. Much of my focus with organizations over the last five years has been automating their container pipelines.


I've come to understand it's not enough to simply learn a tool, it's necessary to learn how multiple tools work together. In all this time teaching containers, I find one of the hardest parts is understanding the end-to-end workflow for getting software out of developer hands and into production servers.


I see firsthand the positive impact on team performance and service reliability that an automated software lifecycle can have.


I'm a Docker Captain, which is a "distinction that Docker awards select members of the community who are both experts in their field and are passionate about sharing their Docker knowledge with others." It's definitely an honor to be a Captain; currently there are only 66 in the world. I am also a Digital Ocean Navigator and a Traefik Ambassador. And, because I'm an Eagle Scout, I like to leave any DevOps platform I find better than I found it (a Scout motto)🤚.


I also host a weekly YouTube Live show and a podcast with Cloud Native experts.


This evolution from speaker, consultant, and instructor of self-paced online courses to cohort workshops is an exciting one for me. The small, highly engaged format of training can be quite effective for many people and I hope it will be for you too.


Made with ❤️ in Virginia Beach, USA


Questions? Ping me.

Twitter: @bretfisher

Email: bret@bretfisher.com



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Automate Your Deployments on Kubernetes with GitHub Actions and Argo GitOps

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Learning is exceptional with cohorts

Learning is exceptional with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Free resource

Why GitHub Actions?

Understand the GHA platform and unravel the workflow format.


GitHub Actions is the standard for automating your software living on GitHub.


It's on its way to being the worlds leading code, infrastructure, and workflow automation solution, and you should know the basics!


Grab this 17-minute video breaking down my favorite software automation platform.


  • Pros and cons of GHA
  • Pricing
  • Marketplace walkthrough
  • Actions walkthrough
  • YAML walkthrough


This video is just the first of many resources in my course.

Watch the free video

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
Must I use Kubernetes and GitHub for this course?
What experience level is necessary with these tools?
What’s the refund policy?
Can you help me get reimbursed?

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