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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

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DevOps Adoption Playbook - Part 1 - Intro
1
Introduction1m 23s
DevOps Adoption Playbook - Part 1
2
Book 1 - DevOps7m 38s
3
Book 2 - CALMS5m 4s
4
Book 3 - Collaboration4m 13s
5
Book 4 - Automation3m 27s
6
Book 5 - Version Control11m 29s
7
Book 6 - Continuous Integration5m 13s
8
Book 7 - Continuous Testing7m 15s
DevOps Adoption Playbook - Part 1 - Demonstration
9
Atlassian BitBucket and Slack Integration10m 14s
10
Atlassian BitBucket Pipelines and Docker15m 15s
DevOps Adoption Playbook - Part 1 - Review
11
Review1m 14s
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Overview
Transcript
DifficultyBeginner
Duration1h 12m
Students68

Description

In this course we introduce you to the DevOps Playbook Part 1.

The DevOps Playbook Part 1 course begins with Book 1, a brief introduction to DevOps and how in recent times it has become the defacto approach to developing and operating applications. We then introduce you to Books 2 through to 7, covering the topics, CALMS, Collaboration, Automation, Version Control, Continuous Integration, and Continuous Testing, 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 1 - DevOps
  • Book 2 - CALMS
  • Book 3 - Collaboration
  • Book 4 - Automation
  • Book 5 - Version Control
  • Book 6 - Continuous Integration
  • Book 7 - Continuous Testing

 

The DevOps Playbook Part 1 course includes 2 demonstrations where we put into practice some of the DevOps theory presented.

  • Atlassian BitBucket and Slack Integration
  • Atlassian BitBucket Pipelines and Docker

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.