Cloud Computing Design Patterns

Cloud Computing Design Patterns

  • Prentice Hall/PearsonPTR
  • Available: 2015
  • Hardcover, ~ 550 pages
  • Robert Cope
  • Thomas Erl
  • Amin Naserpour

Table of Contents

  • Chapter 1: Introduction
  • Chapter 2: Case Study Background
  • Part I: Fundamentals
  • Chapter 3: Basic Terms and Concepts
  • Chapter 4: The Architecture of Cloud Computing
  • Chapter 5: Understanding Cloud Computing Design Patterns
  • Part II: Infrastructure Patterns
  • Chapter 6: Physical Platform Patterns
  • Chapter 7: Virtualization Patterns
  • Chapter 8: Data and Storage Patterns
  • Chapter 9: Capacity Patterns
  • Part III: Scalability & Resource Pooling
  • Chapter 10: Dynamic Scaling & Elasticity Patterns
  • Chapter 11: High Availability Patterns
  • Chapter 12: Bursting & Balancing Patterns
  • Part IV: Reliability & Recovery
  • Chapter 13: Failover & Reliability Patterns
  • Chapter 14: Disaster Protection & Recovery Patterns
  • Part V: Security
  • Chapter 15: Trust Boundary Patterns
  • Chapter 16: Hardening Patterns
  • Chapter 17: Privacy & Confidential Data Exchange Patterns
  • Part VI: Monitoring
  • Chapter 18: Cloud Monitoring Patterns
  • Chapter 19: Usage Tracking & Billing Patterns
  • Chapter 20: Metric Collection & Triggers Patterns
  • Part VII: Supplemental
  • Chapter 21: Common Compound Design Patterns
  • Chapter 22: Strategic Architecture Considerations
  • Appendices
  • Appendix A: Case Study Conclusion
  • Appendix B: Referenced Industry Standards

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