Cloud Capacity Management

1. Front Matter

   Pages i-xxii

   PDF

2. Understanding Cloud Computing

   • Navin Sabharwal, Prashant Wali

   Pages 1-8

3. Cloud Stakeholders and Value Chain

   • Navin Sabharwal, Prashant Wali

   Pages 9-14

4. Technology that Drives the Cloud

   • Navin Sabharwal, Prashant Wali

   Pages 15-18

5. Introduction to Capacity Management

   • Navin Sabharwal, Prashant Wali

   Pages 19-34

6. Cloud Capacity Management

   • Navin Sabharwal, Prashant Wali

   Pages 35-54

7. Capacity Planning

   • Navin Sabharwal, Prashant Wali

   Pages 55-60

8. Determining Capacity Requirements for New Services

   • Navin Sabharwal, Prashant Wali

   Pages 61-70

9. Capacity Management Design

   • Navin Sabharwal, Prashant Wali

   Pages 71-78

10. Capacity Plan

    • Navin Sabharwal, Prashant Wali

    Pages 79-86

11. Ongoing Capacity Management for Existing or Live Services

    • Navin Sabharwal, Prashant Wali

    Pages 87-98

12. Capacity Monitoring

    • Navin Sabharwal, Prashant Wali

    Pages 99-108

13. Capacity Analysis, Tuning, and Review

    • Navin Sabharwal, Prashant Wali

    Pages 109-122

14. Capacity Management Database and Integrations

    • Navin Sabharwal, Prashant Wali

    Pages 123-130

15. Capacity Management Concepts

    • Navin Sabharwal, Prashant Wali

    Pages 131-136

16. Capacity Plan Template

    • Navin Sabharwal, Prashant Wali

    Pages 137-144

17. Capacity Implementation Case Study

    • Navin Sabharwal, Prashant Wali

    Pages 145-156

18. Back Matter

    Pages 157-161

    PDF

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.

 

NavinSabharwal is an innovator, thought leader, author, andconsultant in the areas of reporting and Analytics, RDBMS technologiesincluding SQL Server, Oracle, MySQL, big data technologies, Hadoop, MongoDB,and SAP HANA. Navin has been using big data technologies in creating productsand services in the areas of IT service management, product development, cloudcomputing, cloud lifecycle management, and social network product development.He has created niche award-winning products and solutions and has filednumerous patents in diverse fields such as IT services, assessment engines,ranking algorithms, capacity planning engines, and knowledge management. Navinholds a Master’s in Information Technology and is a Certified ProjectManagement Professional.

Policies and ethics