Efficient Cloud FinOps: A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing, Limited
2024
|
| Ausgabe: | 1st ed |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (446 Seiten) |
| ISBN: | 9781805129691 |
Internformat
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| 100 | 1 | |a Sánchez, Alfonso San Miguel |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Efficient Cloud FinOps |b A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| 250 | |a 1st ed | ||
| 264 | 1 | |a Birmingham |b Packt Publishing, Limited |c 2024 | |
| 264 | 4 | |c ©2024 | |
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| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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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| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Sánchez, Alfonso San Miguel |t Efficient Cloud FinOps |d Birmingham : Packt Publishing, Limited,c2024 |z 9781805122579 |
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Datensatz im Suchindex
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| adam_text | |
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| author | Sánchez, Alfonso San Miguel |
| author_facet | Sánchez, Alfonso San Miguel |
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| author_sort | Sánchez, Alfonso San Miguel |
| author_variant | a s m s asm asms |
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| contents | 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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| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049871732 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-06T13:11:08Z |
| institution | BVB |
| isbn | 9781805129691 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035211207 |
| oclc_num | 1466904991 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (446 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Packt Publishing, Limited |
| record_format | marc |
| spelling | Sánchez, Alfonso San Miguel Verfasser aut Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. 1st ed Birmingham Packt Publishing, Limited 2024 ©2024 1 Online-Ressource (446 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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 García, Danny Obando Sonstige oth Erscheint auch als Druck-Ausgabe Sánchez, Alfonso San Miguel Efficient Cloud FinOps Birmingham : Packt Publishing, Limited,c2024 9781805122579 |
| spellingShingle | Sánchez, Alfonso San Miguel Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. 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 |
| title | Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| title_auth | Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| title_exact_search | Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| title_full | Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| title_fullStr | Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| title_full_unstemmed | Efficient Cloud FinOps A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| title_short | Efficient Cloud FinOps |
| title_sort | efficient cloud finops a practical guide to cloud financial management and optimization with aws azure and gcp |
| title_sub | A Practical Guide to Cloud Financial Management and Optimization with AWS, Azure, and GCP. |
| work_keys_str_mv | AT sanchezalfonsosanmiguel efficientcloudfinopsapracticalguidetocloudfinancialmanagementandoptimizationwithawsazureandgcp AT garciadannyobando efficientcloudfinopsapracticalguidetocloudfinancialmanagementandoptimizationwithawsazureandgcp |