Book Image

Driving DevOps with Value Stream Management

By : Cecil 'Gary' Rupp
Book Image

Driving DevOps with Value Stream Management

By: Cecil 'Gary' Rupp

Overview of this book

Value Stream Management (VSM) opens the door to maximizing your DevOps pipeline investments by improving flows and eliminating waste. VSM and DevOps together deliver value stream improvements across enterprises for a competitive advantage in the digital world. Driving DevOps with Value Stream Management provides a comprehensive review and analysis of industry-proven VSM methods and tools to integrate, streamline, and orchestrate activities within a DevOps-oriented value stream. You'll start with an introduction to the concepts of delivering value and understand how VSM methods and tools support improved value delivery from a Lean production perspective. The book covers the complexities of implementing modern CI/CD and DevOps pipelines and then guides you through an eight-step VSM methodology with the help of a use case showing an Agile team's efforts to install a CI/CD pipeline. Free from marketing hype or vendor bias, this book presents the current VSM tool vendors and customer use cases that showcase their products' strengths. As you advance through the book, you'll learn four approaches to implementing a DevOps pipeline and get guidance on choosing the best fit. By the end of this VSM book, you'll be ready to develop and execute a plan to streamline your software delivery pipelines and improve your organization's value stream delivery.
Table of Contents (23 chapters)
1
Section 1:Value Delivery
7
Section 2:VSM Methodology
13
Section 3:VSM Tool Vendors and Frameworks
18
Section 4:Applying VSM with DevOps

Analyzing cause and effects in systems

A key concept in systems thinking is that the whole is greater than the sum of the parts that participate within a system. This statement is true for both system capabilities and complexities. It's the interrelationships between the parts that create complexity within a system. But the interrelationships also are what allow systems to do both useful and useless things. If we don't understand the cause and effects of the underlying interactions across the system, we can't begin to understand how to control the interactions in useful ways.

Participant relationships and interactions can be accidental or intentional within the system. For example, we can evaluate a manufacturing ecosystem as representing a single system with any number of participating elements that interact, causing both desired (intentional) and undesired (unintentional) impacts. Some of the elements intentionally work to support the manufacturer's operations...