Professional Training

Session Details

This is the accredited ICAgile Foundations of DevOps course as provided by the International Consortium for Agile (ICAgile) but we also provide you with an online Amazon Web Service instance as your training environment during the course for the exercises. Online sessions run over three consecutive days.

Prerequisites

No specific prerequisites are necessary. However basic familiarity with Agile, Scrum, Lean, and DevOps principles is beneficial.

Who should attend?

This course is aimed at a broad audience of technical and/or non-technical professionals whose role are touched by DevOps and continuous delivery.

Related Certifications

ISTQB Certified Tester – Foundation Level
ICAgile Certified Agile Fundamentals

Course Objectives

On completion of the ICAgile Foundation of DevOps course, delegates will be able to:

Explain the origins of DevOps and the benefits an organization can gain from adopting DevOps.
Contrast DevOps as a set of practices with DevOps as a mindset based on a set of principles and how to apply them in practice.
Describe the cultural changes when adopting the DevOps culture.
Demonstrate the scope of version control and how a single source of truth supports DevOps.
Describe effective configuration management elements and techniques.
Explain the principles and key practices of continuous integration, contrasting good/bad CI approaches.
Explain how different aspects of quality assurance complement each other and identify risks involved in skimping on QA practices.
Describe and differentiate both continuous delivery and continuous deployment, explaining how they relate to a DevOps culture.
Explain the benefits of continuous delivery and how its principles improve software development.
Describe and contrast continuous delivery practices, distinguishing from practices based on the context of their own environment.
Describe an end-to-end deployment pipeline and explain the choices made for each stage.
Illustrate how infrastructure choices impact the ability to effectively implement and scale DevOps.
Show implications of DevOps on data and database management and explain the practices needed to ensure data integrity in a DevOps environment.

Introduction

What is DevOps?
Origins of DevOps
DevOps Principles
Systems Thinking
Definition of Done
The CALMS model

CALMS: Culture

What is Culture?
Build Quality in
Done Means Released
Everyone is Responsible for the Delivery Process
Continuous Improvement

CALMS: Automation

What is Automation?
Why do we Automate?
Automate Almost Everything

Development

Development Approaches
Configuration Management
Version Control – Mainline
Static Analysis
Commit Stage

Testing

Why do we test?
What tests are good candidates for Automation
Test Automation Strategies
Types of Tests
Testing within the automated development

Continuous Integration

Keep everything in source control.
Prioritise fixing the build
Continuous feedback

Continuous Delivery

Repeatable, Reliable Process for Releasing Software
If it Hurts, Do it More Frequently, and Bring the Pain Forward
Build Binaries Only Once
Same Deploy Process Everywhere
Smoke Test Your Deployment

Continuous Deployment

Definition of Deployment Pipeline
Manual testing
Non-functional testing
Pushing to production
Deployment orchestration

CALMS: Lean

Lean principles
Muda Mura and Muri
Seven Wastes of Lean
Business Value
Flow

Operations

Managing Infrastructure
Application configuration
Third Party Components
Managing Data Change
Rolling back a release

CALMS: Measurement

Lagging and Leading Indicators
What are the key DevOps Metrics?
Monitoring
Continuity planning

CALMS: Sharing

Sharing
Essential conflict
Teams
T-shaped Profiles
The Westrum organisational typology model
Conway’s law
A Fearless Organisational structure
Roles and Activities within DevOps
Business System teams and the Platform team
Distributed teams