EDP NegotiationSavings Plans OptimizationReserved Instances StrategyEC2 Right-SizingS3 Cost ReductionEgress NegotiationMigration CreditsSupport Tier AdvisoryMulti-Cloud LeverageBedrock AI PricingEDP NegotiationSavings Plans OptimizationReserved Instances StrategyEC2 Right-SizingS3 Cost ReductionEgress NegotiationMigration CreditsSupport Tier AdvisoryMulti-Cloud LeverageBedrock AI Pricing
Service · Compute Spend

AWS compute spend negotiation, top to bottom.

EC2 right-sizing, Graviton migration cost modeling, Spot Fleet strategy, auto-scaling cost impact analysis, and container orchestration optimization across EKS, ECS, and Fargate. We shrink the floor before negotiating the rate.

$2.4B+
AWS spend reviewed
500+
Engagements
38%
Avg reduction
$340M+
Documented savings
Overview

Right-sizing comes before
commitment, not after.

The most expensive mistake in AWS commitment planning is buying Savings Plans against an inflated baseline. If your fleet is over-provisioned by 25%, a three-year Compute Savings Plan locks in that over-provisioning for 36 months. Right-sizing must come first — and it has to be more than a CloudWatch screenshot.

We work the entire compute stack: instance-family selection, generation upgrades, Graviton migration paths, Spot capacity strategy, container density, and the auto-scaling policies that determine how your fleet behaves under load. Each lever changes the floor that commitments need to cover, and each has second-order effects on architecture and operations.

Done in the right order — right-size, then re-architect, then commit — compute spend typically falls 30–45% versus its uncorrected baseline before any negotiation begins. The commitment work then layers on additional discount against a cleaner baseline.

What we negotiate

Every lever in the compute stack.

01EC2 right-sizing and generation refresh+
90-day CloudWatch and Compute Optimizer analysis. We identify over-provisioned instances, recommend exact target sizes, and stage refreshes from M5/C5/R5 to current-generation M7i, C7i, and R7i where price-performance gains warrant the cutover.
02Graviton (ARM) migration modeling+
Graviton-based M7g, C7g, R7g instances are priced approximately 15–20% below x86 equivalents and frequently deliver 20–40% better price-performance. We model the migration workload by workload, identify portability risk, and sequence the cutover for cost-impact-per-week.
03Spot Fleet and capacity-optimized allocation+
Spot capacity remains the deepest compute discount in AWS — 60–90% off on-demand for interruption-tolerant workloads. We design Spot Fleet configurations with capacity-optimized allocation, instance diversification, and fallback strategy for batch, CI/CD, ML training, and stateless serving.
04EKS, ECS, and Fargate cost engineering+
Container density, node pool sizing, Karpenter configuration, Fargate vs EC2 launch type, and bin-packing efficiency. We audit container platforms end to end and rebuild node pool strategy to maximize utilization without sacrificing reliability.
05Auto-scaling cost impact analysis+
Aggressive scale-up thresholds and conservative scale-down delays are the two most common cost leaks in auto-scaling. We tune ASG policies for cost-aware behavior without compromising user-facing latency SLOs.
06License-aware compute planning+
SQL Server, Oracle, RHEL, and Windows licensing add hidden compute cost. We model license-included vs BYOL options, identify dedicated host opportunities, and integrate license cost into the right-sizing decision.
Process

Right-size, re-architect, then commit.

1.

Compute audit

90-day usage analysis across every account. Output: right-sizing recommendations, Graviton portability scoring, Spot eligibility map, and container utilization report.

2.

Architecture co-design

Work with your engineering teams to sequence the highest-impact changes: generation refresh, Graviton waves, Spot adoption, and container density.

3.

Commitment alignment

Re-baseline the compute floor and align Savings Plans and EDP commitments to the post-optimization baseline rather than the inflated starting point.

Results

What clients actually save.

Related services

Often combined with compute work.

Your compute baseline
is inflated.

38% average reduction across 500+ engagements. We audit your fleet in two weeks.

How we deliver

Four phases. One outcome.

01

Diagnostic (week 1)

Cost and Usage Report ingestion, contract review, EDP scorecard. You get a benchmark against 500+ comparable deals.

02

Strategy (weeks 2-3)

Negotiation positions, BATNAs, target outcomes by line item. We build the playbook and the supporting models.

03

Execution (weeks 4-9)

We sit in your seat opposite AWS. You stay in control of the relationship; we shape the deal.

04

Hand-off (week 10+)

Signed terms, internal playbook, monitoring framework. So you can defend the deal at the next renewal yourself.

Questions

Frequently asked. Directly answered.

How much can I save by migrating to Graviton?+

Workloads that successfully run on Graviton typically see 15-25% price-performance gain over comparable x86 instances. The real cost is migration effort: ARM compatibility for compiled binaries, container base images, and third-party software. We model both the gross savings and the migration burden.

Is Spot worth using outside of batch and stateless workloads?+

Spot is most valuable for any workload that can tolerate interruption with checkpoint/restart logic. Modern Spot Fleets with capacity-optimized allocation strategies have made interruption rates much lower (often <5% for diversified fleets), so the addressable surface area is larger than most teams realize.

What's the cost impact of EC2 right-sizing?+

We typically find 20-35% of EC2 spend is on over-provisioned instances based on 14-day p95 utilization. Right-sizing alone usually unlocks 8-12% of total cloud spend before any negotiation.

Can I negotiate a custom EC2 price for my workload?+

Custom EC2 rates are negotiated through EDP-bound PPAs, not as standalone deals. The leverage comes from concentration: if a single instance family is >40% of your EC2 spend, you have a case for family-specific PPA pricing.

Do auto-scaling groups affect Reserved Instance and Savings Plan utilization?+

Yes — aggressive scale-down can leave RIs and SPs uncovered, eroding your savings rate. Coverage strategy must account for daily and weekly troughs in your scaling pattern, not just average usage.

How fees work: engagements are structured against recovered savings — most clients fund the engagement from their first month of realized reductions. No savings identified, no engagement.

Talk to an AWS negotiation advisor

Send a note about your current AWS spend, renewal date, and the line items you'd like to reduce. We respond within one business day. Work email required.