Progressive Delivery on Kubernetes
NEW! Deploy Kubernetes canaries safely with Datadog. Compare version performance using APM Deployment Tracking, set up version-specific monitors, and diagnose infrastructure failures with Bits AI.
Learning Objectives
Upon completing this course, you will be able to:
- Deploy Kubernetes canary releases using replica-based traffic splitting to limit blast radius
- Use Datadog APM Deployment Tracking to compare canary and stable version performance in real time
- Build automated threshold monitors that catch a failing canary before it impacts users
- Diagnose infrastructure failures with Kubernetes Remediation and Bits AI
Primary Audience
This course is designed for anyone comfortable deploying containerized applications to Kubernetes, including SREs, DevOps Engineers, Platform Engineers, and Release Engineers who want to reduce deployment risk.
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
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Introduction
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Lab: Progressive Delivery on Kubernetes
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Summary
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Feedback Survey
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Progressive Delivery on Kubernetes
- 1 hour to complete
- 3 Lessons
- Intermediate
