Book Image

Enterprise DevOps for Architects

By : Jeroen Mulder
4 (1)
Book Image

Enterprise DevOps for Architects

4 (1)
By: Jeroen Mulder

Overview of this book

Digital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture. This book provides an architectural overview of DevOps, AIOps, and DevSecOps – the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps. By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE).

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Table of Contents (21 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
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Conventions used
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1
Section 1: Architecting DevOps for Enterprises
Section 1: Architecting DevOps for Enterprises
Free Chapter
2
Chapter 1: Defining the Reference Architecture for Enterprise DevOps
Chapter 1: Defining the Reference Architecture for Enterprise DevOps
Introducing DevOps in IT delivery
Creating a reference architecture
Introducing DevOps components
Understanding SLAs and KPIs in DevOps
Working with the VOICE model
Summary
Questions
Further reading
3
Chapter 2: Managing DevOps from Architecture
Chapter 2: Managing DevOps from Architecture
Assessing demand as input for the architecture
Designing and managing automation
Implementing and managing configuration management
Designing and managing integration
Designing and managing collaboration
Summary
Questions
Further reading
4
Chapter 3: Architecting for DevOps Quality
Chapter 3: Architecting for DevOps Quality
Defining test strategies
Implementing quality measures
Designing test automation and execution
Understanding root cause analysis
Designing for remediation
Summary
Questions
Further reading
5
Chapter 4: Scaling DevOps
Chapter 4: Scaling DevOps
Understanding modern DevOps
Working with RAD
Scaling infrastructure with DevOps
Scaling DevOps in an enterprise environment
Managing mission-critical environments with DevOps
Summary
Questions
Further reading
6
Chapter 5: Architecting Next-Level DevOps with SRE
Chapter 5: Architecting Next-Level DevOps with SRE
Understanding the basic principles of SRE
Assessing the enterprise for SRE readiness
Architecting SRE using KPIs
Implementing SRE
Summary
Questions
Further reading
7
Section 2: Creating the Shift Left with AIOps
Section 2: Creating the Shift Left with AIOps
8
Chapter 6: Defining Operations in Architecture
Chapter 6: Defining Operations in Architecture
Understanding operations management
Defining operations in an enterprise architecture
Defining the digital operating demarcation model
Understanding ops in an event-driven architecture
Planning operations with a maturity model
Summary
Questions
Further reading
9
Chapter 7: Understanding the Impact of AI on DevOps
Chapter 7: Understanding the Impact of AI on DevOps
Introducing AI and ML
Understanding the shift-left movement in DevOps
Defining the first step – DevOps as a service
Creating the IT asset visibility map
Measuring the business outcomes of AIOps
Summary
Questions
Further reading
10
Chapter 8: Architecting AIOps
Chapter 8: Architecting AIOps
Understanding the logical architecture
Defining the key components of AIOps architecture
Integrating AIOps with service architecture
Defining the reference architecture for AIOps
Summary
Questions
Further reading
11
Chapter 9: Integrating AIOps in DevOps
Chapter 9: Integrating AIOps in DevOps
Introducing AI-enabled DevOps
Enabling rapid innovation in digital transformation
Monitoring pipelines with AIOps
Assessing the enterprise readiness of AI-enabled DevOps
Summary
Questions
Further reading
12
Chapter 10: Making the Final Step to NoOps
Chapter 10: Making the Final Step to NoOps
Understanding the paradigm shift to NoOps
Understanding the role of AI in NoOps
Creating an architecture for heuristic automation
Defining the roadmap to NoOps
Summary
Questions
Further reading
13
Section 3: Bridging Security with DevSecOps
Section 3: Bridging Security with DevSecOps
14
Chapter 11: Understanding Security in DevOps
Chapter 11: Understanding Security in DevOps
Embedding security in enterprise architecture
Understanding security risks in DevOps
Getting DevSecOps-savvy
Defining requirements and metrics
Summary
Questions
Further reading
15
Chapter 12: Architecting for DevSecOps
Chapter 12: Architecting for DevSecOps
Understanding the DevSecOps ecosystem
Creating the reference architecture
Composing the DevSecOps pipeline
Applying DevSecOps to AWS, Azure, and GCP
Summary
Questions
Further reading
16
Chapter 13: Working with DevSecOps Using Industry Security Frameworks
Chapter 13: Working with DevSecOps Using Industry Security Frameworks
Understanding industry security frameworks
Working with the MITRE ATT&CK framework
Applying frameworks to DevSecOps
Creating compliance reports and guiding audits
Summary
Questions
Further reading
17
Chapter 14: Integrating DevSecOps with DevOps
Chapter 14: Integrating DevSecOps with DevOps
Defining governance in DevSecOps
Understanding and working with threat modeling
Integrating tools and automation
Implementing monitoring
Summary
Questions
Further reading
18
Chapter 15: Implementing Zero Trust Architecture
Chapter 15: Implementing Zero Trust Architecture
Understanding zero trust principles
Architecting for zero trust security
Including microservices in architecture
Integrating zero trust in pipelines
Summary
Questions
Further reading
19
Assessments
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
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Introducing AI and ML

In this section, we will briefly introduce the concepts of AI and ML. There have been complete bookstores worth of books written about AI and ML, but in this section, we will merely give a definition and describe how these concepts will change development and operations:

  • AI: The broadest definition of AI is a computer technology that simulates human behavior. In most cases, AI is used to express the fact that software is able to react to events in an autonomous, intelligent way by deducting and analyzing and, by doing that, reaching decisions without human interference.
  • ML: After AI is machines that learn how to perform tasks and execute actions by analyzing earlier events, and then use this experience to improve autonomous decision making. To enable this, both AI and ML as technology need data and they need to understand how to interpret this data.

AI and ML are not magic. You will need to define the scope for these technologies, just as...

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