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
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This book provides a conceptual discussion of DevOps practices and their implications on system design. It covers team practices related to DevOps, build and test, deployment, and post deployment. This is the only book that deals with the system implications of DevOps. It includes case studies, references, practical examples and checklists for architects.
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Preface xi Previewing the Book xiii Acknowledgments xv Legend xvii   Part I: Background 1   Chapter 1: What Is DevOps? 3 1.1 Introduction 3 1.2 Why DevOps? 7 1.3 DevOps Perspective 11 1.4 DevOps and Agile 12 1.5 Team Structure 13 1.6 Coordination 17 1.7 Barriers 20 1.8 Summary 23 1.9 For Further Reading 24   Chapter 2: The Cloud as a Platform 27 2.1 Introduction 27 2.2 Features of the Cloud 29 2.3 DevOps Consequences of the Unique Cloud Features 41 2.4 Summary 44 2.5 For Further Reading 45   Chapter 3: Operations 47 3.1 Introduction 47 3.2 Operations Services 47 3.3 Service Operation Functions 57 3.4 Continual Service Improvement 58 3.5 Operations and DevOps 59 3.6 Summary 61 3.7 For Further Reading 61   Part II: The Deployment Pipeline 63   Chapter 4: Overall Architecture 65 4.1 Do DevOps Practices Require Architectural Change? 65 4.2 Overall Architecture Structure 66 4.3 Quality Discussion of Microservice Architecture 72 4.4 Amazon’s Rules for Teams 75 4.5 Microservice Adoption for Existing Systems 76 4.6 Summary 77 4.7 For Further Reading 78   Chapter 5: Building and Testing 79 5.1 Introduction 79 5.2 Moving a System Through the Deployment Pipeline 81 5.3 Crosscutting Aspects 84 5.4 Development and Pre-commit Testing 86 5.5 Build and Integration Testing 91 5.6 UAT/Staging/Performance Testing 95 5.7 Production 96 5.8 Incidents 98 5.9 Summary 98 5.10 For Further Reading 99   Chapter 6: Deployment 101 6.1 Introduction 101 6.2 Strategies for Managing a Deployment 102 6.3 Logical Consistency 105 6.4 Packaging 111 6.5 Deploying to Multiple Environments 114 6.6 Partial Deployment 117 6.7 Rollback 118 6.8 Tools 121 6.9 Summary 121 6.10 For Further Reading 122   Part III: Crosscutting Concerns 125   Chapter 7: Monitoring 127 7.1 Introduction 127 7.2 What to Monitor 129 7.3 How to Monitor 134 7.4 When to Change the Monitoring Configuration 139 7.5 Interpreting Monitoring Data 139 7.6 Challenges 143 7.7 Tools 147 7.8 Diagnosing an Anomaly from Monitoring Data–the Case of Platformer.com 148 7.9 Summary 152 7.10 For Further Reading 153   Chapter 8: Security and Security Audits 155 8.1 What Is Security? 156 8.2 Threats 157 8.3 Resources to Be Protected 159 8.4 Security Roles and Activities 162 8.5 Identity Management 165 8.6 Access Control 169 8.7 Detection, Auditing, and Denial of Service 172 8.8 Development 173 8.9 Auditors 174 8.10 Application Design Considerations 175 8.11 Deployment Pipeline Design Considerations 176 8.12 Summary 177 8.13 For Further Reading 178   Chapter 9: Other Ilities 181 9.1 Introduction 181 9.2 Repeatability 183 9.3 Performance 186 9.4 Reliability 188 9.5 Recoverability 190 9.6 Interoperability 191 9.7 Testability 192 9.8 Modifiability 194 9.9 Summary 195 9.10 For Further Reading 196   Chapter 10: Business Considerations 197 10.1 Introduction 197 10.2 Business Case 197 10.3 Measurements and Compliance to DevOps Practices 206 10.4 Points of Interaction Between Dev and Ops 209 10.5 Summary 211 10.6 For Further Reading 211   Part IV: Case Studies 213   Chapter 11: Supporting Multiple Datacenters 215 11.1 Introduction 215 11.2 Current State 216 11.3 Business Logic and Web Tiers 216 11.4 Database Tier 220 11.5 Other Infrastructure Tools 223 11.6 Datacenter Switch 225 11.7 Testing 232 11.8 Summary 233 11.9 For Further Reading 234   Chapter 12: Implementing a Continuous Deployment Pipeline for Enterprises 237 12.1 Introduction 237 12.2 Organizational Context 238 12.3 The Continuous Deployment Pipeline 240 12.4 Baking Security into the Foundations of the CD Pipeline 257 12.5 Advanced Concepts 259 12.6 Summary 261 12.7 For Further Reading 262   Chapter 13: Migrating to Microservices 263 13.1 Introduction to Atlassian 263 13.2 Building a Platform for Deploying Microservices 265 13.3 BlobStore: A Microservice Example 268 13.4 Development Process 273 13.5 Evolving BlobStore 279 13.6 Summary 284 13.7 For Further Reading 284   Part V: Moving into the Future 285   Chapter 14: Operations as a Process 287 14.1 Introduction 287 14.2 Motivation and Overview 288 14.3 Offline Activities 289 14.4 Online Activities 294 14.5 Error Diagnosis 296 14.6 Monitoring 296 14.7 Summary 298 14.8 For Further Reading 298   Chapter 15: The Future of DevOps 299 15.1 Introduction 299 15.2 Organizational Issues 300 15.3 Process Issues 302 15.4 Technology Issues 305 15.5 What About Error Reporting and Repair? 309 15.6 Final Words 310 15.7 For Further Reading 310   References 311 About the Authors 315 Index 317
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Teaches students to: Deploy DevOps more efficiently, avoid problems, and drive far more value Design systems to be compatible with DevOps practices Understand the tradeoffs implicit in using each key DevOps practice Integrate DevOps with agile methods
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Produktdetaljer

ISBN
9780134049847
Publisert
2015
Utgiver
Vendor
Addison Wesley
Vekt
600 gr
Høyde
22 mm
Bredde
162 mm
Dybde
238 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
352

Biographical note

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 architecture—Software 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. Liming’s research interests include software architec­ture and dependable systems.