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Indigo A-Z of Capacity Management: Practical Guide for Implementing Enterprise IT Monitoring & Capacity Planning | Erin Mills Town Centre
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Capacity management is the IT risk management process for ensuring there is adequate infrastructure and computing resources to meet the current and future demand of the business in a cost effective and timely manner. This book provides a detailed guideline for practical implementation of the capacity management process. The full benefits of implementing the process is usually harnessed when it operates as a value-added process - where capacity planning is driven from business demand, and not just based on infrastructure resources utilization, like CPU, memory, etc. Covers:
- Capacity management goals, benefits and strategy
- Common errors and gap analysis guideline
- Identify business metrics and collection techniques
- Implementing CDB - data aggregation and storage
- Capacity planning guideline, and how to build capacity planning model
- Creating capacity plan and stakeholders review
- Capacity Management Report-audience
- Auditing the capacity management process
- Capacity management in cloud computing and machine learning era.
Each chapter has thought provoking questions you may need to ask about the current or planned implementation of capacity management process in your firm. Anyone interested in delivering excellent service to customers, but with focus on reducing IT Infrastructure spending will find this book very rewarding.
Capacity management is the IT risk management process for ensuring there is adequate infrastructure and computing resources to meet the current and future demand of the business in a cost effective and timely manner. This book provides a detailed guideline for practical implementation of the capacity management process. The full benefits of implementing the process is usually harnessed when it operates as a value-added process - where capacity planning is driven from business demand, and not just based on infrastructure resources utilization, like CPU, memory, etc. Covers:
- Capacity management goals, benefits and strategy
- Common errors and gap analysis guideline
- Identify business metrics and collection techniques
- Implementing CDB - data aggregation and storage
- Capacity planning guideline, and how to build capacity planning model
- Creating capacity plan and stakeholders review
- Capacity Management Report-audience
- Auditing the capacity management process
- Capacity management in cloud computing and machine learning era.
Each chapter has thought provoking questions you may need to ask about the current or planned implementation of capacity management process in your firm. Anyone interested in delivering excellent service to customers, but with focus on reducing IT Infrastructure spending will find this book very rewarding.
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