Kubernetes and Gitlab Schulung

Alle Preise zzgl. MwSt

Kurs Code

kubernetesgitlab

Dauer

14 hours (üblicherweise 2 Tage inklusive Pausen)

Voraussetzungen

  • An understanding of DevOps

Audience

  • DevOps Engineers

Überblick

Gitlab is a DevOps lifecycle platform that provides CI/CD features for project planning and management. Kubernetes is an orchestration system for automating application deployment. Using Gitlab and Kubernetes, users can automate builds and deployment to containerized cloud environments.

This instructor-led, live training (online or onsite) is aimed at DevOps engineers who wish to use Kubernetes and Gitlab to automate the DevOps lifecycle.

By the end of this training, participants will be able to:

  • Automate application builds, tests, and deployments.
  • Create an automated build infrastructure.
  • Deploy an application to a containerized cloud environment.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Schulungsübersicht

Introduction

Continuous Integration and Continuous Delivery Overview

  • What is CI?
  • What is CD?

Gitlab at a Glance

  • What is Gitlab?
  • Gitlab features
  • Gitlab CI

Preparing the DevOps environment

  • Installing and configuring Auto DevOps in Gitlab

Kubernetes

  • Integrating Kubernetes
  • Creating Kubernetes clusters
  • Creating a Kubernetes instance
  • Using Gitlab SSH keys

Stages, Artifacts, and Dependencies

  • Placing jobs into stages
  • Using cache
  • Defining and using Artifacts

Gitlab Auto DevOps

  • Working with Helm
  • Using Auto DevOps
  • Configuring Gitlab runner
  • Adding repository

Automated Deployment

  • Deploying to Kubernetes

Debugging

  • Handling errors

Testing

  • Integration and functional testing

Monitoring

  • Using Prometheus
  • Gathering metrics

Securing

  • Hardening pipelines and pipeline systems

Troubleshooting

Summary and Conclusion

Erfahrungsberichte

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