Efficient Cloud FinOps : A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP

Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP

Explore cloud economics and cost optimization for Azure, AWS, and GCP with this practical guide covering methods, strategies, best practices, and real-world examples, bridging theory and application Key Features Learn cost optimization best practices on different cloud services using FinOps principl...

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Detalles Bibliográficos
Otros Autores: Sánchez, Alfonso San Miguel, author (author), García, Danny Obando, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing [2024]
Edición:First edition
Materias:
Cloud computing > Cost control.
Information technology > Management.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009805128406719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and Credits
  • Dedication
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Get Started with FinOps
  • Chapter 1: Introduction to FinOps Principles
  • What is FinOps, and why do we need another buzzword?
  • Why FinOps?
  • Before the cloud
  • The cloud comes into play
  • A paradigm shift
  • Hidden on-premises costs
  • Back to the present
  • The FinOps Foundation
  • The three pillars of FinOps
  • Inform
  • Example (the Inform pillar)
  • Optimize
  • Example (the Optimize pillar)
  • Operate
  • Example (the Operate pillar)
  • Summary
  • Chapter 2: Understanding How FinOps Fits into Cloud Governance
  • The Well-Architected Framework - an introduction
  • FinOps as part of bigger governance
  • FinOps + Agile methodologies
  • FinOps, Infrastructure as Code, CI/CD, and DevOps
  • FinOps and change management
  • Tailoring a FinOps approach for each organization
  • Scenario 1 - companies not yet in the cloud or beginning their journey to it
  • Scenario 2 - companies already in the cloud but not mature enough or that have non-optimized workloads
  • Scenario 3 - big companies with strong cloud maturity
  • Scenario 4 - companies focused on generating cloud cost savings
  • Selecting the right tools for the job
  • Base tools
  • Market tools
  • Other interesting tools
  • Summary
  • Part 2: Inform - How to Increase Cost Visibility
  • Chapter 3: Designing and Executing the Tagging and Naming Convention Strategies
  • The importance of naming conventions and tagging in FinOps
  • Why are naming conventions significant?
  • Why are tagging strategies significant?
  • Naming conventions versus tagging
  • Naming convention and tagging enforcement
  • Naming conventions for cloud resources
  • Style and format
  • Separators
  • Key fields to include
  • Parent and child resources
  • Creating a name generator
  • Building a tagging strategy.
  • Style and format
  • Simple and compound tags
  • Creating a tagging strategy
  • Automated tagging
  • Cost allocation
  • Summary
  • Chapter 4: Estimating Cloud Solution Costs and Initiative Saving
  • Technical requirements
  • How to calculate the TCO for cloud solutions
  • TCO introduction
  • Cloud pricing calculators
  • Pricing APIs from cloud providers and how to work with them
  • Pricing APIs overview
  • Estimating potential savings of cost optimization initiatives
  • How to automate cost estimation
  • Data sources selection
  • Data consolidation
  • Estimation calculation
  • Change notification
  • Data update
  • Summary
  • Chapter 5: Improving Cost Visibility with Dashboards and Reports
  • Understanding cloud invoices and billing data
  • Dashboards and reports
  • The main differences between a report and a dashboard
  • Key benefits
  • Dashboards from another view - simulators
  • How to prepare cost evolution reports and dashboards and their importance
  • Financial basics
  • Tracking savings to initiatives and adding milestones
  • Unit economics
  • How to prepare FinOps dashboards and reports
  • Existing dashboards and reports
  • Custom dashboards and reports
  • Summary
  • Part 3: Optimize - How to Get the Most out of Cloud Resources
  • Chapter 6: Implementing IaaS Compute Optimization
  • Compute optimization key concepts
  • Quick wins
  • Introduction to IaaS, PaaS, and serverless
  • Stateless versus stateful
  • IaaS optimization
  • Quick win - orphaned resources
  • Virtual machine version upgrades
  • Virtual machine rightsizing
  • Virtual machine family standardization
  • Virtual machine power scheduling
  • Virtual machine scaling
  • Reserved Instances and Saving Plans
  • Spot VMs
  • Summary
  • Chapter 7: Implementing PaaS and Other Compute Optimization Initiatives
  • PaaS optimization
  • PaaS rightsizing and workload consolidation.
  • Example - Azure App Service and App Service plans
  • Serverless versus provisioned compute
  • The benefits of Serverless
  • Example - Azure SQL Serverless
  • Managed Kubernetes cluster optimization
  • Data transfer costs optimization
  • Azure - Data transfer costs
  • AWS - Data transfer costs
  • GCP - Data transfer costs
  • Licensing optimization
  • Bring-your-own-license model
  • Cloud provider agreements and resource allocation
  • Azure - Enterprise Agreement versus CSP
  • AWS organizations, billing accounts, and OUs
  • GCP organization, folders, projects and resources
  • Summary
  • Chapter 8: Implementing Database Optimization
  • Relational versus non-relational/NoSQL databases
  • Relational databases
  • Non-relational or NoSQL databases
  • Which one should you choose?
  • Which database management system?
  • Example - SQL Server versus Oracle pricing for AWS RDS
  • SQL Server
  • Oracle
  • PostgreSQL
  • MySQL
  • MongoDB
  • IaaS versus PaaS versus serverless
  • IaaS database optimization
  • Rational database use
  • Backup storage optimization
  • Shared Disks for database clusters
  • Shrinking relational databases
  • Database grouping in SQL Server
  • PaaS database optimization
  • Compute optimization and rightsizing
  • Database grouping
  • Database scaling
  • Serverless versus Provisioned Compute
  • Backup storage and redundancy
  • Reserved capacity
  • Azure
  • AWS
  • Google
  • Licensing optimization
  • Bring your own license (BYOL)
  • Development scenarios
  • Summary
  • Chapter 9: Implementing Storage Optimization
  • Storage key concepts
  • Types of storage in the cloud
  • Thick versus thin provisioning in disks
  • Disk snapshots
  • Storage redundancy
  • Block storage
  • File storage
  • Object storage
  • Block storage optimization
  • Snapshot optimization
  • Ephemeral disks
  • Disk rightsizing
  • Offloading to file and object storage.
  • Reserved capacity
  • File storage optimization
  • File storage rightsizing and data temperature
  • Reserved capacity
  • Object storage optimization
  • Object storage tiering
  • Life cycle policies
  • Limiting and tracking versioning, soft delete, and object snapshot usage
  • Object storage inventory
  • Reserved capacity
  • Other storage optimization initiatives
  • Log storage optimization
  • Backup storage optimization
  • Summary
  • Part 4: Operate - How to Set Up a Governance Model around Cloud Costs
  • Chapter 10: Designing and Implementing FinOps KPIs
  • What is a KPI?
  • KPI creation process
  • Types of KPIs
  • Objectives and key results
  • Using KPIs for FinOps practices
  • Example of a FinOps KPI in Azure - region placement
  • More FinOps examples
  • Summary
  • Chapter 11: Defining New FinOps Roles and Processes
  • Target operating model and FinOps
  • FinOps operational model
  • Organizational model
  • Rollout and execution plan
  • Functions, capabilities, and processes
  • Roles and responsibilities
  • Governance
  • Summary
  • Part 5: Hands-On Cost Optimization with Real-Life Use Cases and More
  • Chapter 12: Case Studies for Cost Optimization
  • IaaS case study - multi-tiered application migrated to the cloud
  • Solution description
  • Initiatives covered
  • Summary of initiatives and final results
  • PaaS case study - storage, serverless, and database optimization
  • Solution description
  • Initiatives covered
  • Summary of initiatives and final results
  • Summary
  • Chapter 13: Wrapping up and Looking ahead
  • FinOps summary and future challenges - how to keep up
  • Inform (Chapters 3, 4, and 5)
  • Optimize (Chapters 6, 7, 8, and 9)
  • Operate (Chapters 10 and 11)
  • Case studies
  • FinOps future challenges
  • Cloud sustainability and FinOps
  • How environmental sustainability policies work
  • Public cloud and sustainability - GreenOps.
  • Machine learning, artificial intelligence, and FinOps
  • How ML works
  • FinOps applications
  • Self-assessment/knowledge check
  • Chapter 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 5
  • Chapter 6
  • Chapter 7
  • Chapter 8
  • Chapter 9
  • Chapter 10
  • Chapter 11
  • Chapter 13
  • Summary
  • Index
  • About Packt
  • Other Books You May Enjoy.

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