Cloud Capacity Management by Sabharwal, Navin -- Read -- Imperial Library of Trantor

Index

Cover Title Copyright Dedication Contents at a Glance Contents About the Authors Acknowledgments Preface Introduction Chapter 1: Understanding Cloud Computing

Cloud Computing

Cloud Characteristics Service Models Deployment Models

Chapter 2: Cloud Stakeholders and Value Chain

Cloud Views

Service Delivery Chain in the Cloud Service-Based View Layer-Based View

Chapter 3: Technology that Drives the Cloud

Virtualization: The Engine of Cloud Computing

Virtual Machine Virtual Servers Virtual Network Virtual Storage Virtual Firewall Load Balancer Virtual Applications and Middleware Cloud Architecture Layers

Chapter 4: Introduction to Capacity Management

ITIL Overview Continual Service Improvement Process Throughout the Lifecycle Continual Service Improvement Feedback Mechanism

Integration with the Rest of the Lifecycle Stages and Service Management Processes

Capacity Management Overview Capacity Management Activities

A Balancing Act Capacity Management: Scope and Coverage Capacity Management Procedures in the Traditional Model Capacity Management Procedures in the Cloud Model

Produce Capacity Plan Iterative Capacity Management for Live Services

Implementation Monitoring the Plan Analysis Tuning Capacity Review

Chapter 5: Cloud Capacity Management

Capacity Management in Cloud Computing

Scenario A Scenario B The Capacity-Utilization Curve

Conventional vs. Cloud View of Capacity Management Business Capacity Management in Cloud

Cloud Service Provider Cloud Service Consumer

Service Capacity Management in the Cloud

Cloud Service Provider Cloud Consumer

Component Capacity Management in the Cloud

Cloud Service Provider Cloud Consumer

Chapter 6: Capacity Planning

Capacity Planning Capacity Management in the Cloud

Performance Requirements Business Criticality Future Growth

Chapter 7: Determining Capacity Requirements for New Services

Capacity Calculation for New Services

Determine Capacity Requirements Understand Capacity Requirements and Vital Business Functions

Understanding Disaster Recovery Requirements for Capacity

Capacity Demand Coupling Demand Monitoring

Providing Cost of Capacity Inputs Specifying Performance Targets

Cloud Service Provider Cloud Service Aggregator Consumer

Chapter 8: Capacity Management Design

Design for Capacity Establishing Capacity Approach Establishing Architecture

Virtualization Tier Infrastructure Monitoring Tier Usage Analysis Tier Presentation/Dashboard Tier

Storage Tiering Applying Capacity Techniques Establishing Components and Checking for Cost Optimization

Chapter 9: Capacity Plan

Producing the Capacity Plan

Identifying the Profiles of Virtual Machines Identifying Host Server Profiles Identifying Storage Developing Thresholds and Alerting Resource Replenishment Demand Management and Forecasting

Creating a Capacity Plan

Document Capacity Requirements Document Design and Methods Used

Producing the Overall Plan

Chapter 10: Ongoing Capacity Management for Existing or Live Services

Implementation Scaling

Horizontal scaling Vertical scaling Auto scaling Clustering Asymmetric clustering Symmetric clustering Load Balancing Memory Ballooning VMware Ballooning Swapping Distributed Resource Scheduling

Time Zones and Variable Workloads

Chapter 11: Capacity Monitoring

Monitoring

Utilization Monitoring CPU Demand Memory Demand Total virtual machine capacity Deployed virtual machine capacity Remaining virtual machine capacity

Virtual Environment Monitoring

Virtual machines Hosts Distributed Resource Scheduler Clusters Resource Pools Response Time Monitoring

Alerts and Notification Management Key Considerations from Cloud Provider Perspective Key Considerations from Cloud Consumer Perspective

Chapter 12: Capacity Analysis, Tuning, and Review

Analysis

Convert Data into Information Inputs for Modeling Performance Trending and Analysis at the Functional Level Exception Trending and Analysis at the Functional Level Identification of Issues Identification of Cost Reduction Opportunities Validation by Inter-Functional Analysis

Tools and Data collection Trending Forecasting Statistical Models

Time Series Analysis Moving Average

Tuning Capacity Management Review and Reports Capacity Reports Capacity management staffing

Chapter 13: Capacity Management Database and Integrations

Configuration Management Database and Capacity Database Data Type Description

Business Data Service Data Technical Data Financial Data Utilization Data

Integration of the Capacity Database with the Configuration Management Database

Integration Approach Benefits

Capacity Management Tools Integration Capacity Management Process Relations

Demand Management IT service Continutity Management Release Management Availability Management Service Level Management Financial Management

Chapter 14: Capacity Management Concepts

Threshold Management Emerging Trends in Capacity Management

Self-Learning Capability Automated Threshold Management Visibility into Individual Virtual Machine and System Behavior Proactive Capacity Planning Yield Management VM Sprawl Management

Appendix A: Capacity Plan Template

Document Control

Executive Summary Introduction Scope and Terms of Reference of the Plan Methods Used Application Infrastructure User Task Scenarios Task Load Matrix Monitoring and Metrics Service Demand and Forecasts Service Tiers Third Party User Profile Usage Scenarios Task-load Matrix Expected Growth Assumptions Made Requested System Reserves Component Capacity Bottlenecks Growth and Intervention Strategy Service Summary Options for Service Improvement Costs Forecast Monitoring and Metrics Thresholds for Intervention Document History

Appendix B: Capacity Implementation Case Study

Introduction and Scope Technology Vision

Current Infrastructure Utilization and Cost Overview IT Imperatives Need for Capacity Planning Implementing Capacity Management

Conclusion

Index

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