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Cloud FinOps. Collaborative, Real-Time Cloud Financial Management - Helion

Cloud FinOps. Collaborative, Real-Time Cloud Financial Management
ebook
Autor: J. R. Storment, Mike Fuller
ISBN: 9781492054573
stron: 284, Format: ebook
Data wydania: 2019-12-12
Księgarnia: Helion

Cena książki: 219,00 zł

Dodaj do koszyka Cloud FinOps. Collaborative, Real-Time Cloud Financial Management

Tagi: Programowanie w chmurze

Despite many uncertainties in cloud computing, one truth is evident: costs will always tend to go up unless you’re actively engaged in the process. Whether you’re new to managing cloud spend or a seasoned pro, this book will clarify the often misunderstood workings of cloud billing fundamentals and provide expert strategies on creating a culture of cloud cost management in your organization.

Drawing on real-world examples of successes and failures of large-scale cloud spenders, this book outlines a road map for building a culture of FinOps in your organization. Beginning with the fundamental concepts required to understand cloud billing concepts, you’ll learn how to enable an efficient and effective FinOps machine.

  • Learn how the cloud works when it comes to financial management
  • Set up a FinOps team and build a framework for making spend efficiency a priority
  • Examine the anatomy of a cloud bill and learn how to manage it
  • Get operational recipes for maximizing cloud efficiency
  • Understand how to motivate engineering teams to take cost-saving actions
  • Explore the FinOps lifecycle: Inform, Optimize, and Operate
  • Learn the DNA of a highly functional cloud FinOps culture

Dodaj do koszyka Cloud FinOps. Collaborative, Real-Time Cloud Financial Management

 

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Dodaj do koszyka Cloud FinOps. Collaborative, Real-Time Cloud Financial Management

Spis treści

Cloud FinOps. Collaborative, Real-Time Cloud Financial Management eBook -- spis treści

  • Preface
    • Who Should Read This Book
    • About This Book
    • What You Need to Know Before Reading On
    • FinOps Is Evolving
    • Conventions Used in This Book
    • OReilly Online Learning
    • How to Contact Us
    • Acknowledgments
  • I. Introducing FinOps
  • 1. What Is FinOps?
    • The FinOps Heros Journey
    • Where Did FinOps Come From?
    • The Definition
    • Real-Time Reporting (The Prius Effect)
    • Core Principles of FinOps
    • When Should You Start FinOps?
    • Starting with the End in Mind: Unit Economics
    • Conclusion
  • 2. Why FinOps?
    • Use Cloud for the Right Reasons
    • The Problem
    • The Impact of Not Adopting FinOps
    • Conclusion
  • 3. Cultural Shift and the FinOps Team
    • Who Does FinOps?
      • Why a Centralized Team?
      • The Role of Each Team in FinOps
        • Executives
        • FinOps practitioners
        • Engineering and operations
        • Finance and procurement/sourcing
    • A New Way of Working Together
    • Where Does Your FinOps Team Sit?
    • Understanding Motivations
      • Engineers
      • Finance People
      • Executives
      • Procurement and Sourcing People
    • FinOps Throughout Your Organization
    • Hiring for FinOps
    • FinOps Culture in Action
    • Conclusion
  • 4. The Language of FinOps and Cloud
    • Defining a Common Lexicon
    • Defining the Basic Terms
      • Defining Finance Terms for Cloud Professionals
    • Abstraction Assists Understanding
    • Cloud Language Versus Business Language
    • Creating a Babel Fish Between Your DevOps and Finance Teams
    • The Need to Educate Both Sides of the House
    • Benchmarking and Gamification
    • Conclusion
  • 5. Anatomy of the Cloud Bill
    • Cloud Billing Complexity
    • The Basic Format of the Billing Data
    • Time, Why Do You Punish Me?
      • Sum of the Tiny Parts
      • A Brief History of Cloud Billing Data
    • The Importance of Hourly Data
    • A Month Is Not a Month
    • A Dollar Is Not a Dollar
    • A Simple Formula for Spending
      • Two Levers to Affect Your Bill
      • Who Should Avoid Costs and Who Should Reduce Rates?
        • Centralizing rate reduction
      • Why You Should Decentralize Usage Reduction
    • Conclusion
  • II. Inform Phase
  • 6. The FinOps Lifecycle
    • The Six Principles of FinOps
      • Teams Need to Collaborate
      • Decisions Are Driven by the Business Value of Cloud
      • Everyone Takes Ownership of Their Cloud Usage
      • FinOps Reports Should Be Accessible and Timely
      • A Centralized Team Drives FinOps
      • Take Advantage of the Variable Cost Model of the Cloud
    • The FinOps Lifecycle
    • Inform
    • Optimize
    • Operate
    • Considerations
    • Where Do You Start?
    • Why to Start at the Beginning
    • Conclusion
  • 7. Where Are You?
    • Data Is Meaningless Without Context
    • Seek First to Understand
    • Organizational Work During This Phase
    • Transparency and the Feedback Loop
    • Benchmarking Team Performance
    • Forecast and Budgeting
    • The Importance of Managing Teams to Budgets
    • What Great Looks Like: Crawl, Walk, Run
    • Conclusion
  • 8. Allocation: No Dollar Left Behind
    • Why Allocation Matters
    • Chargeback Versus Showback
      • A Combination of Models Fit for Purpose
    • The Showback Model in Action
    • Chargeback and Showback Considerations
    • Spreading Out Shared Costs
    • Amortization: Its Accrual World
    • Creating Goodwill and Auditability with Accounting
    • Going Beyond Cloud with the TBM Taxonomy
    • The Spend Panic Tipping Point
    • Conclusion
  • 9. Tags, Labels, and Accounts, Oh My!
    • Cost Allocation Using Tag- and Hierarchy-Based Approaches
      • Getting Started with Your Strategy
        • Communicate your plan
        • Keep it simple
        • Formulate your questions
      • Comparing the Allocation Options of the Big Three
      • Comparing Accounts and Folders Versus Tags and Labels
      • Organizing Projects Using Folders in Google Cloud Platform
    • Tags and Labels: The Most Flexible Allocation Option
      • Using Tags for Billing
      • Getting Started Early with Tagging
      • Deciding When to Set Your Tagging Standard
      • Picking the Right Number of Tags
      • Working Within Tag/Label Restrictions
      • Maintaining Tag Hygiene
      • Reporting on Tag Performance
    • Getting Teams to Implement Tags
    • Conclusion
  • III. Optimize Phase
  • 10. Adjusting to Hit Goals
    • Why Do You Set Goals?
    • The First Goal Is Good Cost Allocation
    • Is Savings the Goal?
      • The Iron Triangle: Good, Fast, Cheap
    • Hitting Goals with OKRs
      • OKR Focus Area #1: Credibility
      • OKR Focus Area #2: Sustainability
      • OKR Focus Area #3: Control
    • Goals as Target Lines
    • Detecting Anomalies
    • Reducing Spend to Meet Forecast
      • Using Less Versus Paying Less
    • Conclusion
  • 11. Using Less: Usage Optimization
    • The Cold Reality of Cloud Consumption
    • Where Does Waste Come From?
    • Usage Reduction by Removing/Moving
    • Usage Reduction by Resizing (Rightsizing)
      • Common Rightsizing Mistakes
        • Relying on recommendations that dont account for spikes in utilization
        • Failing to rightsize beyond compute
        • Not addressing your resource shape
        • Not simulating performance before rightsizing
        • Hesitating due to reserved instance uncertainty
      • Going Beyond EC2: Tips to Control Block Storage Costs
        • Get rid of orphaned volumes
        • Focus on zero throughput or zero IOPS
        • Make managing your block storage costs a priority
        • Reduce the number of higher IOPS volumes
        • Take advantage of elastic volumes
    • Usage Reduction by Redesigning
      • Scaling
      • Scheduled Operations
    • Effects on Reserved Instances
    • Benefit Versus Effort
    • Serverless Computing
    • Not All Waste Is Waste
    • Crawl, Walk, Run
    • Advanced Workflow: Automated Opt-Out Rightsizing
    • Tracking Savings
    • Conclusion
  • 12. Paying Less: Rate Optimization
    • Compute Pricing
      • On-Demand
      • Spot/Preemptible/Low-Priority Resource Usage
      • Reservations
    • Storage Pricing
    • Volume Discounts
      • Usage-Based
      • Time-Based
    • Negotiated Rates
      • Custom Pricing Agreements
      • Seller Private Offers
    • BYOL Considerations
    • Conclusion
  • 13. Paying Less with Reserved Instances and Committed Use Discounts
    • Introduction to Reservations
    • Reserved/Committed Usage
      • Instance Size Flexibility
      • Conversions and Cancellations
    • Overview of Usage Commitments Offered by the Big Three
    • Amazon Web Services
      • What Does a Reserved Instance Provide?
      • Parameters of an AWS Reserved Instance
      • Linked Account Affinity
      • Standard Versus Convertible Reserved Instances
      • Instance Size Flexibility
      • Savings Plans
    • Google Cloud Platform
      • Not Paying for VM Instance Hours
      • Billing and Sharing CUDs
      • Relationships Between Organizations and Billing Accounts
      • Applying CUDs Within a Project
    • Microsoft Azure
      • Instance Size Flexibility
    • Conclusion
  • 14. RI and CUD Strategies
    • Common Mistakes
    • Steps to Building an RI Strategy
      • Learn the Fundamentals
        • Components of the RI break-even point
        • The RI waterline
      • Build a Repeatable RI Process
      • Purchase Regularly and Often
      • Measure and Iterate
      • Allocate RI Costs Appropriately
    • The Centralized Reservation Model
    • Timing Your Reservations
    • When to Rightsize Versus Reserve
    • Building Your Strategy
      • Level of Commitment to Your Cloud
      • The Cost of Capital
      • The Red Zone/Green Zone Approach
      • Purchase Approvals
      • Who Pays for Reservations?
      • Strategy Tips
    • Conclusion
  • IV. Operate Phase
  • 15. Aligning Teams to Business Goals
    • Achieving Goals
    • Processes
      • Onboarding
      • Responsibility
      • Visibility
      • Action
    • How Do Responsibilities Help Culture?
      • Carrot Versus Stick Approach
      • Working with Bad Citizens
    • Putting Operate into Action
    • Conclusion
  • 16. Metric-Driven Cost Optimization
    • Core Principles
      • Automated Measurement
      • Targets
      • Achievable Goals
        • Reserved coverage
        • Savings metrics that make sense for all
        • Combining metrics
      • Data Driven
    • Metric-Driven Versus Cadence-Driven Processes
    • Setting Targets
    • Taking Action
    • Conclusion
  • 17. Automating Cost Management
    • Whats the Goal of Automation?
      • What Is the Outcome You Want to Achieve?
      • Automated Versus Manual Tasks
    • Automation Tools
      • Costs
      • Other Considerations
      • Tooling Deployment Options
    • Automation Working Together
      • Integration
      • Automation Conflict
    • Safety and Security
    • How to Start
    • What to Automate
      • Tag Governance
      • Scheduled Resource Start/Stop
      • Usage Reduction
    • Conclusion
  • 18. FinOps for the Container World
    • Containers 101
    • The Move to Container Orchestration
    • The Container FinOps Lifecycle
    • Container Inform Phase
      • Cost Allocation
      • Container Proportions
        • Custom container proportions
        • Container proportions in GCP
      • Tags, Labels, and Namespaces
    • Container Optimize Phase
      • Cluster Placement
      • Container Usage Optimization
        • Idle resources for containers
        • Rightsizing clusters and containers
        • Container classes within Kubernetes
      • Server Instance Rate Optimization
    • Container Operate Phase
    • Serverless Containers
    • Conclusion
  • 19. Managing to Unit Economics: FinOps Nirvana
    • Metrics as the Foundation of Unit Economics
    • Coming Back to the Iron Triangle
    • Activity-Based Costing
    • Whats Missing from the Equation?
    • Conclusion
    • Whats Next?
  • Afterword on What to Prioritize (from J.R.)
  • Index

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