ICAgile Certified Professional - Foundation of DevOps

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