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The First Complete Guide to DevOps for Software Architects

DevOps promises to accelerate the release of new software features and improve monitoring of systems in production, but its crucial implications for software architects and architecture are often ignored.

In DevOps: A Software Architect’s Perspective, three leading architects address these issues head-on. The authors review decisions software architects must make in order to achieve DevOps’ goals and clarify how other DevOps participants are likely to impact the architect’s work. They also provide the organizational, technical, and operational context needed to deploy DevOps more efficiently, and review DevOps’ impact on each development phase. The authors address cross-cutting concerns that link multiple functions, offering practical insights into compliance, performance, reliability, repeatability, and security.

This guide demonstrates the authors’ ideas in action with three real-world case studies: datacenter replication for business continuity, management of a continuous deployment pipeline, and migration to a microservice architecture.

Comprehensive coverage includes

• Why DevOps can require major changes in both system architecture and IT roles

• How virtualization and the cloud can enable DevOps practices

• Integrating operations and its service lifecycle into DevOps

• Designing new systems to work well with DevOps practices

• Integrating DevOps with agile methods and TDD

• Handling failure detection, upgrade planning, and other key issues

• Managing consistency issues arising from DevOps’ independent deployment models

• Integrating security controls, roles, and audits into DevOps

• Preparing a business plan for DevOps adoption, rollout, and measurement

Preface xi
Previewing the Book xiii
Acknowledgments xv
Legend xvii
PART ONE BACKGROUND
1(62)
Chapter 1 What Is DevOps?
3(24)
1.1 Introduction
3(4)
1.2 Why DevOps?
7(4)
1.3 DevOps Perspective
11(1)
1.4 DevOps and Agile
12(1)
1.5 Team Structure
13(4)
1.6 Coordination
17(3)
1.7 Barriers
20(3)
1.8 Summary
23(1)
1.9 For Further Reading
24(3)
Chapter 2 The Cloud as a Platform
27(20)
2.1 Introduction
27(2)
2.2 Features of the Cloud
29(12)
2.3 DevOps Consequences of the Unique Cloud Features
41(3)
2.4 Summary
44(1)
2.5 For Further Reading
45(2)
Chapter 3 Operations
47(16)
3.1 Introduction
47(1)
3.2 Operations Services
47(10)
3.3 Service Operation Functions
57(1)
3.4 Continual Service Improvement
58(1)
3.5 Operations and DevOps
59(2)
3.6 Summary
61(1)
3.7 For Further Reading
61(2)
PART TWO THE DEPLOYMENT PIPELINE
63(62)
Chapter 4 Overall Architecture
65(14)
4.1 Do DevOps Practices Require Architectural Change?
65(1)
4.2 Overall Architecture Structure
66(6)
4.3 Quality Discussion of Microservice Architecture
72(3)
4.4 Amazon's Rules for Teams
75(1)
4.5 Microservice Adoption for Existing Systems
76(1)
4.6 Summary
77(1)
4.7 For Further Reading
78(1)
Chapter 5 Building and Testing
79(22)
5.1 Introduction
79(2)
5.2 Moving a System Through the Deployment Pipeline
81(3)
5.3 Crosscutting Aspects
84(2)
5.4 Development and Pre-commit Testing
86(5)
5.5 Build and Integration Testing
91(4)
5.6 UAT/Staging/Performance Testing
95(1)
5.7 Production
96(2)
5.8 Incidents
98(1)
5.9 Summary
98(1)
5.10 For Further Reading
99(2)
Chapter 6 Deployment
101(24)
6.1 Introduction
101(1)
6.2 Strategies for Managing a Deployment
102(3)
6.3 Logical Consistency
105(6)
6.4 Packaging
111(3)
6.5 Deploying to Multiple Environments
114(3)
6.6 Partial Deployment
117(1)
6.7 Rollback
118(3)
6.8 Tools
121(1)
6.9 Summary
121(1)
6.10 For Further Reading
122(3)
PART THREE CROSSCUTTING CONCERNS
125(88)
Chapter 7 Monitoring
127(28)
7.1 Introduction
127(2)
7.2 What to Monitor
129(5)
7.3 How to Monitor
134(5)
7.4 When to Change the Monitoring Configuration
139(1)
7.5 Interpreting Monitoring Data
139(4)
7.6 Challenges
143(4)
7.7 Tools
147(1)
7.8 Diagnosing an Anomaly from Monitoring Data---the Case of Platformer.com
148(4)
7.9 Summary
152(1)
7.10 For Further Reading
153(2)
Chapter 8 Security and Security Audits
155(26)
8.1 What Is Security?
156(1)
8.2 Threats
157(2)
8.3 Resources to Be Protected
159(3)
8.4 Security Roles and Activities
162(3)
8.5 Identity Management
165(4)
8.6 Access Control
169(3)
8.7 Detection, Auditing, and Denial of Service
172(1)
8.8 Development
173(1)
8.9 Auditors
174(1)
8.10 Application Design Considerations
175(1)
8.11 Deployment Pipeline Design Considerations
176(1)
8.12 Summary
177(1)
8.13 For Further Reading
178(3)
Chapter 9 Other Ilities
181(16)
9.1 Introduction
181(2)
9.2 Repeatability
183(3)
9.3 Performance
186(2)
9.4 Reliability
188(2)
9.5 Recoverability
190(1)
9.6 Interoperability
191(1)
9.7 Testability
192(2)
9.8 Modifiability
194(1)
9.9 Summary
195(1)
9.10 For Further Reading
196(1)
Chapter 10 Business Considerations
197(16)
10.1 Introduction
197(1)
10.2 Business Case
197(9)
10.3 Measurements and Compliance to DevOps Practices
206(3)
10.4 Points of Interaction Between Dev and Ops
209(2)
10.5 Summary
211(1)
10.6 For Further Reading
211(2)
PART FOUR CASE STUDIES
213(72)
Chapter 11 Supporting Multiple Datacenters
215(22)
11.1 Introduction
215(1)
11.2 Current State
216(1)
11.3 Business Logic and Web Tiers
216(4)
11.4 Database Tier
220(3)
11.5 Other Infrastructure Tools
223(2)
11.6 Datacenter Switch
225(7)
11.7 Testing
232(1)
11.8 Summary
233(1)
11.9 For Further Reading
234(3)
Chapter 12 Implementing a Continuous Deployment Pipeline for Enterprises
237(26)
12.1 Introduction
237(1)
12.2 Organizational Context
238(2)
12.3 The Continuous Deployment Pipeline
240(17)
12.4 Baking Security into the Foundations of the CD Pipeline
257(2)
12.5 Advanced Concepts
259(2)
12.6 Summary
261(1)
12.7 For Further Reading
262(1)
Chapter 13 Migrating to Microservices
263(22)
13.1 Introduction to Atlassian
263(2)
13.2 Building a Platform for Deploying Microservices
265(3)
13.3 BlobStore: A Microservice Example
268(5)
13.4 Development Process
273(6)
13.5 Evolving BlobStore
279(5)
13.6 Summary
284(1)
13.7 For Further Reading
284(1)
PART FIVE MOVING INTO THE FUTURE
285(26)
Chapter 14 Operations as a Process
287(12)
14.1 Introduction
287(1)
14.2 Motivation and Overview
288(1)
14.3 Offline Activities
289(5)
14.4 Online Activities
294(2)
14.5 Error Diagnosis
296(1)
14.6 Monitoring
296(2)
14.7 Summary
298(1)
14.8 For Further Reading
298(1)
Chapter 15 The Future of DevOps
299(12)
15.1 Introduction
299(1)
15.2 Organizational Issues
300(2)
15.3 Process Issues
302(3)
15.4 Technology Issues
305(4)
15.5 What About Error Reporting and Repair?
309(1)
15.6 Final Words
310(1)
15.7 For Further Reading
310(1)
References 311(4)
About the Authors 315(2)
Index 317
Len Bass is a senior principal researcher at National ICT Australia Ltd. (NICTA). He joined NICTA in 2011 after 25 years at the Software Engineering Institute (SEI) at Carnegie Mellon University. He is the coauthor of two award-winning books in software architectureSoftware Architecture in Practice, Third Edition (Addison-Wesley 2013) and Documenting Software Architectures: Views and Beyond, Second Edition (Addison-Wesley 2011)as well as several other books and numerous papers in computer science and software engineering on a wide range of topics. Len has more than 50 years experience in software development and research, which has resulted in papers on operating systems, database man­agement systems, user interface software, software architecture, product line sys­tems, and computer operations. He has worked or consulted in multiple domains, including scientific analysis, embedded systems, and information and financial systems.

 

Ingo Weber is a senior researcher in the Software Systems Research Group at NICTA in Sydney, Australia, as well as an adjunct senior lecturer at CSE at the University of New South Wales (UNSW). Prior to NICTA, Ingo held posi­tions at UNSW and at SAP Research Karlsruhe, Germany. His research interests include cloud computing, DevOps, business process management, and artificial intelligence (AI). He has published over 60 peer-reviewed papers, and served as a reviewer or program committee member for many prestigious scientific jour­nals and conferences. Ingo holds a Ph.D. and a Diploma from the University of Karlsruhe, and an MSc from the University of Massachusetts at Amherst.

 

Liming Zhu is a research group leader and principal researcher at NICTA. He holds conjoint positions at the University of New South Wales (UNSW) and the University of Sydney. Liming has published over 80 peer-reviewed papers. He formerly worked in several technology lead positions in the software industry before obtaining a Ph.D. in software engineering from UNSW. He is a committee member of the Standards Australia IT-015 (system and software engineering), contributing to ISO/SC7. Limings research interests include software architec­ture and dependable systems.
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