Arki1, Google Cloud Authorized Training Partner of the years 2019, 2020 & 2021 in Latin America 
This one-day instructor-led class equips students 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.
Audience
This class is intended for the following participants:
- 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.
Prerrequisites
Knowledge of the Linux command line, web servers, and text editors.
Duration
8 hours
Investment
Check the next open public class in our enrollment page.
If you are interested in a private training class for your company, contact us.
Course Outline
This course includes presentations and hands-on labs.
- Create a container.
- Package a container using Docker.
- Store a container image in Google Container Registry.
- Launch a Docker container.
- 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.