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Training schedule

IN-COMPANY TRAINING PROGRAMS

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This five-hour class equips you to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. Students also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

This training is for you if…

you have:

Basic proficiency with command-line tools and Linux operating system environments, as well as Web server
Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.

This training is not for you if…

you have:

No experience with command-lines tools and Linux
No experience in Systems Operations

Clients we've helped

What you'll learn

Provision a complete Kubernetes cluster using Kubernetes Engine
Deploy and manage Docker containers using kubectl
Break an application into microservices using Kubernetes’ Deployments and Services.
Create a Kubernetes deployment
Trigger, pause, resume, and rollback updates
Understand and build canary deployments
Provision Spinnaker or Jenkins in your Kubernetes cluster
Manage application code in a source repository that can trigger code changes to a continuous delivery pipeline
Create a continuous delivery pipeline and start it manually or automatically with a code change
Implement a canary deployment that hosts two versions of your application in production for release testing

The schedule

Module 1: Introduction to Containers and Docker

Acquaint yourself with containers, Docker, and the Google Container Registry.

Create a container.
Package a container using Docker.
Store a container image in Google Container Registry.
Launch a Docker container.

Module 2: Kubernetes Basics

Deploy an application with microservices in a Kubernetes cluster.

Provision a complete Kubernetes cluster using Kubernetes Engine.
Deploy and manage Docker containers using kubectl.
Break an application into microservices using Kubernetes’ Deployments and Services.

Module 3: Deploying to Kubernetes

Create and manage Kubernetes deployments.

Create a Kubernetes deployment.
Trigger, pause, resume, and rollback updates.
Understand and build canary deployments.

Module 4: Continuous Deployment with Jenkins

Build a continuous delivery pipeline.

Provision Jenkins in your Kubernetes cluster.
Create a Jenkins pipeline.
Implement a canary deployment using Jenkins.

Understand container basics.
Containerize an existing application.
Understand Kubernetes concepts and principles.
Deploy applications to Kubernetes using the CLI.
Set up a continuous delivery pipeline using Jenkins

Get In Touch!

Contact Max Driessen now if you want to learn more and take your cloud skills to the next level!

meet your trainer

Constantijn Visinescu

Cloud Consultant

Constantijn has been a hardcore Google “evangelist” for the past 5+ years. The main reason he likes Google Cloud Platform is because things tend to “just work”, leaving him much more time to build actual features for his customers. He is also a GCP authorized instructor.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training

Online, Instructor-Led Training

Hybrid and Blended Learning

Self-Paced Training

Structured, to-the-point, good combination of theory and practical examples, very knowledgeable trainer who can explain concepts very well

Data scientist

It was a hands-on and tangible course. We could apply what we learned in a matter of minutes. The trainer did a great job of answering ad-hoc questions that complemented the material. We appreciated the fact that we could apply what we were taught directly to our company.

Technical Leader & Software Architect

I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.

Data Scientist

Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.