
Cloud Capacity Management
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Content
- Intro
- Contents at a Glance
- Contents
- About the Authors
- Acknowledgments
- Preface
- Introduction
- Chapter 1: Understanding Cloud Computing
- Cloud Computing
- Cloud Characteristics
- On-Demand Availability of Services
- Network Access
- Pooling of Resources
- Elasticity
- Pay Per Use
- Shared Management
- Service Models
- Cloud Infrastructure as a Service
- Cloud Platform as a Service
- Cloud Software as a Service
- Deployment Models
- Private Cloud
- Community Cloud
- Public Cloud
- Hybrid Cloud
- Chapter 2: Cloud Stakeholders and Value Chain
- Cloud Views
- Service Delivery Chain in the Cloud
- Service-Based View
- Cloud Service Creator
- Cloud Service Aggregator
- Service Consumer
- 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
- Determine Capacity Requirements
- Design for Capacity
- 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
- 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
- Chapter 15: 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
- Scenario 1 &&Scenario description&&
- Scenario 2 &&Scenario description&&
- Task-load Matrix
- Expected Growth
- Assumptions Made
- Requested System Reserves
- Component Capacity
- Bottlenecks
- Growth and Intervention Strategy
- Service Summary
- Current and Recent Service Provisions
- Service Forecasts
- Findings Summary
- Resource Summary
- Options for Service Improvement
- Costs Forecast
- Monitoring and Metrics
- Thresholds for Intervention
- Recommendations
- Document History
- Chapter 16: Capacity Implementation Case Study
- Introduction and Scope
- Technology Vision
- Current Infrastructure Utilization and Cost Overview
- IT Imperatives
- Need for Capacity Planning
- Implementing Capacity Management
- Step 1: Determine Capacity Requirements from Existing Monitoring Toolsets
- Capacity Demand Coupling
- Cost of Capacity
- Option 1: Dedicated Infrastructure
- Option 2: Cloud Provider
- Performance Targets
- Step 2: Design for Capacity
- Establish the Capacity Architecture
- Apply Capacity Techniques
- Step 3: Produce Capacity Plan
- Step 4: Ongoing Capacity Management
- Actual Ongoing Capacity Management Tool
- Step 5: Capacity Review
- Conclusion
- Index
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