Course Outline
Pre-Requisites
Basic proficiency with command line tools and Linux operating system environments as well as Web server technologies such as Nginx
Systems Operations experience including deploying and managing applications either on-premises or in a public cloud environment
Lessons
Learn to containerize workloads and deploy to clusters.
Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Container 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.
WHO SHOULD ATTEND?
- Application Developers, Cloud Solutions Architects, DevOps Engineers, IT managers
- Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform
WHAT YOU'LL LEARN
This course teaches participants the following skills:
- 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
Cancellation Policy
We require 16 calendar days notice to reschedule or cancel any registration. Failure to provide the required notification will result in 100% charge of the course. If a student does not attend a scheduled course without prior notification it will result in full forfeiture of the funds and no reschedule will be allowed. Within the required notification period, only student substitutions will be permitted. Reschedules are permitted at anytime with 16 or more calendar days notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.
Training Location
Online Classroom
your office
your city,
your province
your country
I would never take another course that starts at 11AM and goes to 9PM again. The way the course was laid out really took away from the capturing of what was presented as it was 5-6 hours of watching a screen before getting to the actual labs. There has to be a better way to lay out this particular course. In my previous course, the lectures were broken up by labs which worked out fantastic and kept you engaged in the course. There were days when in order to actually complete the labs, would go over the 9PM day end time frame. Was able to get the primary labs done, but if you want to get all the content completed, you cannot complete it in the window of this course, you will need to come back on your own time.