Learning Objectives

Upon completing this course, you will be able to:

  • Demonstrate several strategies to implement progressive delivery in Kubernetes.
  • Learn which of those strategies is best suited to your organization needs. 
  • Determine how a good observability strategy is key to be successful with progressive delivery.

Primary Audience

This course is best suited for learners who already have an understanding of how to schedule a containerized application to Kubernetes.

Prerequisites

The prerequisites for this course are the following:

  • Completion of the Learning Environment course
  • Familiarity using Datadog and the Datadog Agent.
  • An understanding of how to schedule a containerized application to Kubernetes.

Technical Requirements

In order to complete the course, you will need:

  • Google Chrome or Firefox
  • Third-party cookies must be enabled to access labs

Course Navigation

At the bottom of each lesson, click MARK LESSON COMPLETE AND CONTINUE button so that you are marked complete for each lesson and can receive the certificate at the end of the course.

Course Enrollment Period

Please note that your enrollment in this course ends after 30 days. You can re-enroll at any time and pick up where you left off.

Course Curriculum

    1. Introduction

    1. Progressive Delivery

    2. Introduction to the Lab

    3. Lab: Deploying the Datadog Agent

    1. Service Networking

    2. Lab: Progressive Delivery in K8s with Service Networking

    1. Ingress

    2. Lab: Progressive Delivery in K8s with Ingress

    1. Service Meshes

    2. Lab: Progressive Delivery in K8s with Service Meshes

    1. Summary

    2. Feedback Survey

Progressive Delivery in Kubernetes

  • 2.5 hours to complete
  • 9 Lessons
  • Advanced
Enroll for free