AWS wellarchitected documentation change
Summary
Updated spelling from 'modelling' to 'modeling' and 'right size' to 'rightsize' in cost optimization documentation
Security assessment
These changes are purely spelling/grammar corrections (UK to US English) and terminology unification. No security context or security-related content was added or modified.
Diff
diff --git a/wellarchitected/2025-02-25/framework/cost_type_size_number_resources_cost_modeling.md b/wellarchitected/2025-02-25/framework/cost_type_size_number_resources_cost_modeling.md index aed6d47bc..bc15ccb57 100644 --- a//wellarchitected/2025-02-25/framework/cost_type_size_number_resources_cost_modeling.md +++ b//wellarchitected/2025-02-25/framework/cost_type_size_number_resources_cost_modeling.md @@ -15 +15 @@ Identify organization requirements (such as business needs and existing commitme -Perform cost modelling for your workload and each of its components to understand the balance between resources, and find the correct size for each resource in the workload, given a specific level of performance. Understanding cost considerations can inform your organizational business case and decision-making process when evaluating the value realization outcomes for planned workload deployment. +Perform cost modeling for your workload and each of its components to understand the balance between resources, and find the correct size for each resource in the workload, given a specific level of performance. Understanding cost considerations can inform your organizational business case and decision-making process when evaluating the value realization outcomes for planned workload deployment. @@ -17 +17 @@ Perform cost modelling for your workload and each of its components to understan -Perform benchmark activities for the workload under different predicted loads and compare the costs. The modelling effort should reflect potential benefit; for example, time spent is proportional to component cost or predicted saving. For best practices, refer to the [Review section of the Performance Efficiency Pillar of the AWS Well-Architected Framework](https://docs.aws.amazon.com/wellarchitected/latest/performance-efficiency-pillar/review.html). +Perform benchmark activities for the workload under different predicted loads and compare the costs. The modeling effort should reflect potential benefit; for example, time spent is proportional to component cost or predicted saving. For best practices, refer to the [Review section of the Performance Efficiency Pillar of the AWS Well-Architected Framework](https://docs.aws.amazon.com/wellarchitected/latest/performance-efficiency-pillar/review.html). @@ -19 +19 @@ Perform benchmark activities for the workload under different predicted loads an -As an example, to create cost modeling for a workload consisting of compute resources, [AWS Compute Optimizer](https://aws.amazon.com/compute-optimizer/) can assist with cost modelling for running workloads. It provides right-sizing recommendations for compute resources based on historical usage. Make sure CloudWatch Agents are deployed to the Amazon EC2 instances to collect memory metrics which help you with more accurate recommendations within AWS Compute Optimizer. This is the ideal data source for compute resources because it is a free service that uses machine learning to make multiple recommendations depending on levels of risk. +As an example, to create cost modeling for a workload consisting of compute resources, [AWS Compute Optimizer](https://aws.amazon.com/compute-optimizer/) can assist with cost modeling for running workloads. It provides right-sizing recommendations for compute resources based on historical usage. Make sure CloudWatch Agents are deployed to the Amazon EC2 instances to collect memory metrics which help you with more accurate recommendations within AWS Compute Optimizer. This is the ideal data source for compute resources because it is a free service that uses machine learning to make multiple recommendations depending on levels of risk. @@ -21 +21 @@ As an example, to create cost modeling for a workload consisting of compute reso -There are [multiple services](https://docs.aws.amazon.com/whitepapers/latest/cost-optimization-right-sizing/identifying-opportunities-to-right-size.html) you can use with custom logs as data sources for rightsizing operations for other services and workload components, such as [AWS Trusted Advisor](https://aws.amazon.com/premiumsupport/technology/trusted-advisor/), [Amazon CloudWatch](https://aws.amazon.com/cloudwatch/) and [Amazon CloudWatch Logs](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/WhatIsCloudWatchLogs.html). AWS Trusted Advisor checks resources and flags resources with low utilization which can help you right size your resources and create cost modelling. +There are [multiple services](https://docs.aws.amazon.com/whitepapers/latest/cost-optimization-right-sizing/identifying-opportunities-to-right-size.html) you can use with custom logs as data sources for rightsizing operations for other services and workload components, such as [AWS Trusted Advisor](https://aws.amazon.com/premiumsupport/technology/trusted-advisor/), [Amazon CloudWatch](https://aws.amazon.com/cloudwatch/) and [Amazon CloudWatch Logs](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/WhatIsCloudWatchLogs.html). AWS Trusted Advisor checks resources and flags resources with low utilization which can help you rightsize your resources and create cost modeling. @@ -23 +23 @@ There are [multiple services](https://docs.aws.amazon.com/whitepapers/latest/cos -The following are recommendations for cost modelling data and metrics: +The following are recommendations for cost modeling data and metrics: @@ -62 +62 @@ The following are recommendations for cost modelling data and metrics: - * [ Perform a Data-Driven Cost Modelling ](https://aws.amazon.com/blogs/mt/how-to-use-aws-well-architected-with-aws-trusted-advisor-to-achieve-data-driven-cost-optimization/) + * [ Perform a Data-Driven Cost modeling ](https://aws.amazon.com/blogs/mt/how-to-use-aws-well-architected-with-aws-trusted-advisor-to-achieve-data-driven-cost-optimization/)