Docker
Learn how to containerize applications by the Docker CLI and Visual Studio Code. Push and pull container images on Docker Hub, a container registry. Learn how to create multi-container applications using Docker Compose.​
Kubernetes
Learn about the Kubernetes architecture and how it works. Run it locally and use the Kubernetes CLI and Visual Studio Code to run, debug and troubleshoot applications and services. Learn about pods and the different workloads available. Configure networking, storage and set liveness and readiness probes.
Linode VPS
Learn to deploy single and multi-container applications on Linode Virtual Private Servers.​ This is perfect for smaller workloads that don't require a full orchestrator.
Linode Kubernetes Engine (LKE)
Deploy and manage containerized applications with a fully managed Kubernetes service. Learn how to configure persistence using Block Storage. Scale pods using the Horizontal Pod Autoscaler.
Monitoring
Collect, analyze and act on telemetry data gathered from your Kubernetes clusters and containers using Prometheus and Grafana.
Tools and Service Mesh
Learn how to use Helm to package and deploy applications. Learn about the benefits of using a service mesh by "meshing" and troubleshooting an application using Linkerd.
Infrastructure as Code
Learn how to use Infrastructure as Code with over 100 minutes of content on Terraform. Deploy an AKS cluster using Terraform, and learn how to use Terraform Cloud.
This technical course covers the core Docker and Kubernetes concepts and guides you to build, deploy and monitor containers on Linode and Linode Kubernetes Engine (LKE). Developers, DevOps, SREs and I.T. Pros will learn how to use containers locally and on Linode. You’ll experience several demos and hands-on exercises throughout the course as you learn how to build, deploy and monitor containers on Linode. No coding experience is required for the hands-on activities but you’ll use the terminal, command prompt and VS Code extensively.
You’ll learn about microservices and their use cases. You’ll then learn about containers and Kubenernetes. You’ll learn how to deploy and manage microservices applications packaged in containers locally. This will provide you the essential foundation that you’ll need before heading to the cloud.
Next, it’s all about Kubenernetes on Linode. You’ll apply what you learned previously so that you can deploy, manage and maintain your applications on Linode Kubernetes Engine like a ninja!
You’ll learn about 3rd party tools like Helm, Prometheus, and Grafana. How to use dashboards like Lens and K9s. How to configure an Ingress controller and learn the benefits of using a Service Mesh and how to use one.
Finally, you’ll learn about Infrastructure as Code with a complete set of lectures and labs on Terraform. You’ll deploy an AKS cluster using Terraform, and learn how to use Terraform Cloud, the SaaS service from HashiCorp.
The Learning Experience
Learn the concepts
Start learning the concepts by watching short lectures.
Learn to apply the concepts
The instructor shows you how to apply what you just learned in short hands-on labs.
Hands On
Each lab comes with a complete set of step by step instructions, source code, and YAML files.
Try and experiment
Open VS Code and simply copy/paste the commands in the built-in terminal.
Meet your Instructor​
Guy Barrette is a developer/trainer with more then 25 years of experience. He worked for many years as a developer, solutions architect, Microsoft Certified Trainer and now he shares his passion for containers and microservices teaching Docker and Kubernetes. He was awarded Microsoft Most Valuable Professional in the Azure category and passed the following certifications: Kubernetes and Cloud Native Associate, Certified Kubernetes Application Developer (CKAD), Terraform Certified Associate, AWS Cloud Practitioner, Google Cloud Associate Cloud Engineer, Azure Fundamentals, Azure Developer Associate and Azure Architect Design.
Free lectures!
Experience how the course works by launching the free sample lectures. Simply click on the lectures marked as SAMPLE LECTURE.
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