Accelerating Cloud Adoption - Helion
ebook
Autor: Michael KavisISBN: 978-14-920-5590-7
stron: 192, Format: ebook
Data wydania: 2020-11-25
Księgarnia: Helion
Cena książki: 152,15 zł (poprzednio: 176,92 zł)
Oszczędzasz: 14% (-24,77 zł)
Many companies move workloads to the cloud only to encounter issues with legacy processes and organizational structures. How do you design new operating models for this environment? This practical book shows IT managers, CIOs, and CTOs how to address the hardest part of any cloud transformation: the people and the processes.
Author Mike Kavis (Architecting the Cloud) explores lessons learned from enterprises in the midst of cloud transformations. Youâ??ll learn how to rethink your approach from a technology, process, and organizational standpoint to realize the promise of cost optimization, agility, and innovation that public cloud platforms provide.
- Learn the difference between working in a data center and operating in the cloud
- Explore patterns and anti-patterns for organizing cloud operating models
- Get best practices for making the organizational change required for a move to the cloud
- Understand why site reliability engineering is essential for cloud operations
- Improve organizational performance through value stream mapping
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Spis treści
Accelerating Cloud Adoption eBook -- spis treści
- Foreword
- Preface
- How to Use This Book
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
- I. Â
- 1. Introduction: The Shift to the Cloud
- Specialization and Silos of Knowledge
- Patterns and Antipatterns in Cloud Adoption
- The Wild West
- Command and Control
- The Datacenter Mindset Versus the Cloud Mindset
- Shared Responsibility
- Use What You Need, Not Just What You Have
- DevOps
- Conclusion: People, Processes, Technology
- 2. Technology
- Infrastructure as Code (IaC)
- CI/CD
- Immutable Infrastructure
- Microservices
- Containers
- Conclusion: New Tech, New Structure
- 3. People
- T-Shaped Teams
- Cloud Is Bigger than Just IT
- Auditing and Finance
- Procurement
- Cloud Service Agreements
- Talent Strategies
- Recruit
- Train
- Retain
- Conclusion
- 4. Process
- The Software Development Life Cycle
- Environment Provisioning
- Deployment Processes
- Incident Management
- Security Processes
- Value Stream Mapping
- The VSM Methodology
- Holding a VSM Workshop
- Conclusion: A Golden Opportunity
- The Software Development Life Cycle
- II. Â
- 5. Cloud Operating Models: Implement Your Strategy
- Anatomy of an Enterprise Cloud Strategy
- Understanding Cloud Operating Models
- Operating Model Archetypes
- Centralized Model
- Decentralized Model
- Federated Model
- Cloud Platform Roles
- Governance and the Cloud Community of Practice
- Platform Culture
- The preventative approach
- The empowering approach
- Platform Culture
- Platform Models
- Single-Platform Model
- Distributed Platform Model
- Hybrid Platform Model
- Conclusion
- 6. Platform Engagement and Support Models
- Engagement Models
- White-Glove Service
- DevOps as a Service
- No Ops
- Managed
- Platform Support Models
- Single Cloud Model (All In)
- Multicloud Model
- Hybrid Cloud Model
- Two-Speed IT
- Making the Cloud Work for You: Antipatterns and Best Practices
- Cloud Platform Antipatterns
- Antipattern 1: If you build it, they will come
- Antipattern 2: Bringing your old tools and processes to the new party
- Antipattern 3: Applying worst-case risk profiles to all platform customers
- Antipattern 4: Creating new silos and bottlenecks
- Antipattern 5: Automating waste
- Cloud Platform Best Practices
- Best Practice 1: Adopting a product mindset
- Best Practice 2: Adopting a cloud-provider mindset
- Best Practice 3: Embracing DevOps
- Best Practice 4: Embracing a minimal viable cloud (MVC) approach
- Best Practice 5: Designing different engagement models for different customer categories
- Cloud Platform Antipatterns
- Choosing the Right Model for Your Cloud Maturity Level
- Conclusion
- Engagement Models
- 7. Cloud Operations and Reliability
- Modern Approaches to Platform Operations
- TechOps
- Service Catalog Management
- Request Management
- Site Reliability Engineering
- The Many Missions of Site Reliability Engineers
- SRE Operating Models
- Implementing SRE in the Enterprise
- Bottom-up SRE implementations
- Top-down SRE implementations
- Candidate Systems for SRE
- SRE Antipatterns
- Antipattern 1: Renaming operations to SRE
- Antipattern 2: Having the infrastructure team create an SRE shared service
- Antipattern 3: Conflating automation with SRE
- Antipattern 4: Loading the SRE team with developers who have no operations or infrastructure experience
- Reliability Versus Resilience: Best Practices
- Best Practice 1: Build in retries
- Best Practice 2: Checkpoint long-running transactions or units of work
- Best Practice 3: Keep things independent
- Best Practice 4: Focus on perceived performance
- Planning for the Unexpected
- Observability
- Testing in Production
- The big bang method
- Rolling updates
- Blue/green deployments
- Canary deployments
- Chaos engineering
- Synthetic testing
- Monitoring and AIOps
- Reactive operations
- Proactive operations
- Intelligent operations
- Conclusion
- Modern Approaches to Platform Operations
- 8. Conclusion: Moving Forward, Embracing Change
- Organizational Change Management as a Practice
- Looking Ahead: What to Expect
- More Abstractions
- More Edge Computing
- The Death of the Keyboard
- The Continued Rise of AI and Machine Learning
- New Competitors that Dont Exist Yet
- Future-Proofing Your Cloud Adoption
- Index