CloudAcademy
  1. Home
  2. Content Library
  3. DevOps Playbook Part 2

Introduction

The course is part of this learning path

DevOps Playbook - CI/CD Tools and Services

course-steps 4 certification 2 lab-steps 5

Contents

keyboard_tab
DevOps Adoption Playbook - Part 2 - Intro
1
Introduction1m 8s
DevOps Adoption Playbook - Part 2
2
Book 8 - Infrastructure as Code5m 59s
3
Book 9 - Configuration Management5m 38s
4
Book 10 - Continuous Delivery6m 3s
5
Book 11 - Continuous Deployment3m 26s
6
Book 12 - Continuous Monitoring3m 26s
DevOps Adoption Playbook - Part 2 - Demonstration
7
Atlassian BitBucket Pipelines and Terraform16m 17s
8
Atlassian BitBucket Pipelines Promoting Staging to Production7m
DevOps Adoption Playbook - Part 2 - Review
9
Review54s
play-arrow
Start course
Overview
Transcript
DifficultyBeginner
Duration50m
Students24

Description

In this course we introduce you to the DevOps Playbook Part 2.

The DevOps Playbook Part 2 course continues with Books 8 through to 12, covering the topics, Infrastructure as Code, Configuration Management, Continuous Delivery, Continuous Deployment, and Continuous Monitoring, where each book documents a required DevOps competency, one in which you’ll need to adopt and establish skills in to be effective in DevOps.

  • Book 8 - Infrastructure as Code
  • Book 9 - Configuration Management
  • Book 10 - Continuous Delivery
  • Book 11 - Continuous Deployment
  • Book 12 - Continuous Monitoring

 

The DevOps Playbook Part 2 course includes 2 demonstrations where we put into practice some of the DevOps theory presented.

  • Atlassian BitBucket Pipelines and Terraform
  • Atlassian BitBucket Pipelines Promoting Staging to Production

Note: the source code as used within these demonstrations is available at:
https://github.com/cloudacademy/devops/tree/master/DevOps-Adoption-Playbook

About the Author

Students2846
Courses30
Learning paths4

Jeremy is a Cloud Researcher and Trainer at Cloud Academy where he specializes in developing technical training documentation for security, AI, and machine learning for both AWS and GCP cloud platforms.

He has a strong background in development and coding, and has been hacking with various languages, frameworks, and systems for the past 20+ years.

In recent times, Jeremy has been focused on Cloud, Security, AI, Machine Learning, DevOps, Infrastructure as Code, and CICD.

Jeremy holds professional certifications for both AWS and GCP platforms.