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Computer Science | Cloud Capacity Management - Capacity Management

Cloud Capacity Management

Capacity Management

Sabharwal, Navin, Wali, Prashant

2013, XVIII, 184 p. 90 illus.

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    • Best practices incorporated as per ITILv3 Guidelines
    • Services providers guide for designing and implementing capacity management techniques, producing capacity plan
    • Service providers guide for managing capacity and performance of ongoing services
    • Latest trends in cloud capacity management domain
    • Comprehensive coverage of process key performance indicators and reporting
    • Capacity management process relations and dependencies
    • Real life scenarios and examples
Cloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning and management  and which stakeholders are involved in delivering value in the cloud value chain. It explains the role of capacity management for a creator, aggregator, and consumer of cloud services and how to provision for it in a 'pay as you use model'.

This involves a high level of abstraction and virtualization to facilitate rapid and on demand provisioning of services. The conventional IT service models take a traditional approach when planning for service capacity to provide optimum services levels which has huge cost implications for service providers.

This book addresses the gap areas between traditional capacity management practices and cloud service models. It also showcases capacity management process design and implementation in a cloud computing domain using ITSM best practices. This book is a blend of ITSM best practices and infrastructure capacity planning and optimization implementation in various cloud scenarios.

Cloud Capacity Management addresses the basics of cloud computing, its various models, and their impact on capacity planning. This book also highlights the infrastructure capacity management implementation process in a cloud environment showcasing inherent capabilities of tool sets available and the various techniques for capacity planning and performance management. Techniques like dynamic resource scheduling, scaling, load balancing, and clustering etc are explained for implementing capacity management.


Content Level » Popular/general

Related subjects » Computer Science - Information Systems and Applications

Table of contents 

1. Understanding Cloud Computing  

2. Cloud Stakeholders and Value Chain

3. Technology that Drives the Cloud

4. Introduction to Capacity Management   

5. Cloud Capacity Management

6. Capacity Planning

7. Determining Capacity Requirements for New Services

8. Capacity Management Design

9. Capacity Plan

10. Ongoing Capacity Management for Existing or Live Services

11. Capacity Monitoring

12. Capacity Analysis, Tuning, and Review 

13. Capacity Management Database and Integrations

14. Capacity Management Concepts

15. Appendix A: Capacity Plan Template

16. Appendix B: Capacity Implementation Case Study

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