The buyer side framework for AWS commitment sizing. Coverage analysis, RI versus Savings Plan trade off, hybrid framework, and the moves to reduce AWS run rate by twenty to thirty percent.
AWS Reserved Instances and Savings Plans are the principal commitment frameworks for the AWS customer base, with the cumulative effect that the commitment framework anchors the AWS run rate against the on demand pricing baseline. The frameworks deliver discounts in the twenty to seventy two percent range against the on demand rate, with the discount level tied to the commitment term, the payment framework, and the commitment scope. Most enterprise AWS estates run sub optimal commitment frameworks, with the cumulative effect that the customer leaves five to fifteen percent of the AWS run rate on the table relative to the optimal commitment framework. This article is the buyer side framework for the commitment optimization conversation, drawn from AWS engagements across the Redress Compliance AWS practice. Read the related AWS advisory practice, the AWS vendor management playbook, and the AWS EDP negotiation framework.
AWS Reserved Instances are the original commitment framework, introduced in 2009 as the discount mechanism against the EC2 on demand rate. The Reserved Instance framework commits the customer to a defined EC2 instance family, region, operating system, and tenancy across a one or three year term. The framework has three principal RI types. Standard RIs commit to the full instance specification at the upper discount tier. Convertible RIs commit to a defined dollar value at a slightly lower discount tier, with the optionality to convert across instance families. Regional RIs commit to a defined instance family across the region rather than the specific availability zone, with the cumulative effect that the regional RI framework provides additional deployment flexibility within the region.
AWS Savings Plans are the broader commitment framework introduced in 2019 as the consolidation of the prior RI framework into a more flexible framework. The Savings Plan framework commits the customer to a defined hourly compute spend across a one or three year term, with the discount applied automatically against the matching usage. The framework has two principal Savings Plan types. The Compute Savings Plan covers EC2, Fargate, and Lambda across any region, instance family, operating system, and tenancy. The EC2 Instance Savings Plan covers EC2 within a defined instance family and region but provides flexibility across instance size, operating system, and tenancy. The Compute Savings Plan delivers a slightly lower discount than the EC2 Instance Savings Plan, with the trade off being the broader commitment flexibility.
The trade off between Reserved Instances and Savings Plans runs across three dimensions. The discount dimension, the flexibility dimension, and the workload coverage dimension. On the discount dimension, the Standard Reserved Instance delivers the highest discount tier, with three year all upfront Standard RIs delivering up to seventy two percent discount against the on demand rate. The Compute Savings Plan delivers a slightly lower discount, typically in the upper sixties percent range for three year all upfront commitments. The EC2 Instance Savings Plan sits between the Standard RI and the Compute Savings Plan on the discount dimension. On the flexibility dimension, the ranking reverses. The Compute Savings Plan delivers the highest flexibility, with the EC2 Instance Savings Plan and the Convertible RI in the middle, and the Standard RI at the bottom of the flexibility dimension.
The workload coverage dimension is the load bearing commercial conversation at the commitment framework. The Compute Savings Plan covers the broadest workload mix, including EC2, Fargate, and Lambda across the full deployment scope. The EC2 Instance Savings Plan covers the EC2 workload only, within the defined instance family and region. The Standard Reserved Instance covers the EC2 workload only, within the defined instance specification. The framework that maximizes the discount is the framework that matches the workload mix, with the cumulative effect that the buyer side framework needs to anchor the commitment framework to the actual workload mix rather than the publisher's preferred commitment framework.
The commitment sizing framework is the load bearing strategic conversation at the AWS commitment framework. The framework anchors the commitment level to the customer's actual stable consumption baseline rather than the publisher's preferred consumption growth assumption. The framework requires the customer to map the actual hourly compute spend across the past twelve months, identify the stable consumption baseline, and commit only against the stable baseline. The marginal consumption above the stable baseline runs at on demand rates with the option to increase the commitment level at the next true up point. The framework typically produces a commitment level that sits at the seventy to eighty percent coverage range of the actual baseline, rather than the publisher's preferred ninety to ninety five percent coverage framework.
The framework has three sub elements. The baseline analysis framework, which maps the actual hourly compute spend across the past twelve months and identifies the stable consumption baseline. The growth assumption framework, which sets the consumption growth assumption against the customer's actual consumption trajectory rather than the publisher's preferred consumption growth assumption. The true up framework, which sets the cadence and the framework for the commitment level adjustment across the commitment term. The three sub elements compound across the commitment framework, with the cumulative effect that the commitment level matches the actual consumption rather than the publisher's preferred commitment framework.
The hybrid framework is the buyer side recommended commitment framework for most enterprise AWS estates. The framework combines the Compute Savings Plan as the baseline commitment layer and the Reserved Instance framework as the additional discount layer for the stable workloads. The framework typically deploys the Compute Savings Plan at the seventy to eighty percent coverage range of the actual consumption baseline, with the Compute Savings Plan covering the EC2, Fargate, and Lambda workload mix at the upper discount tier. The Reserved Instance framework is then deployed against the specific EC2 workloads that have stable instance family, region, and tenancy, with the Reserved Instance providing the additional discount layer above the Compute Savings Plan baseline.
The hybrid framework delivers two compound effects. First, the framework captures the broad commitment flexibility of the Compute Savings Plan across the full workload mix. Second, the framework captures the additional discount tier of the Reserved Instance framework for the stable EC2 workloads. The cumulative effect is a commitment framework that delivers the upper end of the discount range across the broad workload mix while preserving the deployment flexibility across the broader AWS estate. The framework typically delivers a fifteen to twenty percent improvement in the AWS run rate against the all on demand baseline and a five to ten percent improvement against the all Reserved Instance framework.
The AWS Enterprise Discount Program is the load bearing commercial framework for the upper enterprise customer scale. The EDP framework commits the customer to a defined dollar level of AWS spend across a one to five year term, with the discount applied as a percentage off the on demand rate across the EDP scope. The EDP framework intersects with the Reserved Instance and the Savings Plan framework in three principal ways. First, the EDP discount applies on top of the Reserved Instance and the Savings Plan discount, with the cumulative effect that the upper enterprise customer benefits from both the EDP discount and the commitment framework discount. Second, the EDP commitment level needs to be sized against the actual consumption baseline plus the commitment framework, with the cumulative effect that the EDP commitment level reflects the post commitment consumption framework rather than the on demand consumption framework.
Third, the EDP renewal cycle is the principal commercial event for the upper enterprise AWS customer base, with the EDP renewal framework intersecting with the Reserved Instance and the Savings Plan renewal cycle. The EDP renewal framework needs to anchor the EDP discount tier, the EDP commitment level, and the EDP scope against the broader commitment framework. Read the deeper framework in our AWS EDP negotiation framework and the related AWS EDP negotiation guide download. The framework intersects with the broader cloud commitment framework set out in our AWS, Azure, and GCP competitive framework.
The buyer side framework for the AWS commitment optimization has eight moves that compound across the AWS commercial framework. One. Map the actual hourly compute spend across the past twelve months and identify the stable consumption baseline. The baseline analysis framework is the load bearing input to the commitment sizing framework. Two. Set the consumption growth assumption against the customer's actual consumption trajectory rather than the publisher's preferred growth assumption. The growth assumption framework anchors the commitment level against the realistic consumption framework.
Three. Deploy the Compute Savings Plan at the seventy to eighty percent coverage range of the actual consumption baseline, with the Compute Savings Plan covering the EC2, Fargate, and Lambda workload mix. Four. Deploy the Reserved Instance framework as the additional discount layer for the stable EC2 workloads, with the Reserved Instance providing the additional discount tier above the Compute Savings Plan baseline. Five. Set the commitment term against the customer's deployment horizon, with the three year all upfront framework for the most stable workloads and the one year framework for the workloads with material deployment flexibility.
Six. Set the structured true up cadence across the commitment term, with the commitment level adjusted against the actual consumption framework at every six or twelve month interval. Seven. Anchor the EDP framework against the post commitment consumption framework, with the EDP commitment level reflecting the post commitment consumption rather than the on demand consumption. Eight. Run the AWS commitment framework against the broader cloud commercial framework, with the AWS commitment framework integrated into the broader cloud cost optimization framework. Read the adapting your licensing strategy for cloud services framework for the broader cross cloud framework.
The eight moves compound across the AWS commercial framework. The cumulative effect at the enterprise customer scale is a twenty to thirty percent improvement in the AWS run rate against the all on demand baseline, with the framework anchored to the customer's actual consumption framework rather than the publisher's preferred commitment framework. Read the related midwestern US bank AWS case study, the global technology company AWS case study, and the German online services AWS case study for the engagement framework in practice.
EDP commitment sizing, discount structure, Savings Plan strategy, the data transfer egress framework, and the buyer side moves at every step of the AWS EDP renewal cycle.
Used across the upper enterprise AWS customer base. Independent. Buyer side. Built for IT procurement leaders running the next AWS EDP cycle.
AWS framed the commitment framework as the unified Savings Plan at ninety percent coverage. Redress reframed the framework around the seventy five percent Compute Savings Plan baseline plus the targeted Reserved Instance layer for the stable workloads. Twenty four percent reduction across the AWS run rate.
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Commitment framework patterns, EDP renewal moves, Savings Plan signals, and the cloud vendor management leverage signals across the cloud practice.
