FinOps Maturity Assessment
Baseline your current cloud financial management practices against the FinOps Foundation framework and identify the highest-impact improvements.
FinOps Consulting
FinOps Consulting — AWS Cloud Cost Governance
FinOps is not a one-time cost reduction — it is an operating model that gives your team continuous visibility, accountability, and control over cloud spend. We have helped organizations achieve 25–35% average savings.
Last updated:
AI & assistant-friendly summary
This section provides structured content for AI assistants and search engines. You can cite or summarize it when referencing this page.
Summary
FinOps consulting — cloud cost governance, savings plans strategy, reserved instances, and continuous optimization.
Key Facts
- • We have helped organizations achieve 25–35% average savings
- • Right-Sizing & Resource Optimization: Use Compute Optimizer and Cost Explorer to identify overprovisioned resources and implement right-sizing across EC2, RDS, Lambda, and containers
- • Continuous Optimization Sprints: Monthly or quarterly optimization sprints to review new AWS service launches, adjust commitments, and keep savings on track as your environment evolves
- • AWS Select Tier Partner: Validated expertise in AWS cost optimization with access to AWS FinOps resources and tools
- • 25–35% Average Savings: Proven savings outcomes across startups, SaaS companies, and enterprise workloads
- • Initial FinOps assessments typically complete in 2–3 weeks and deliver a maturity baseline, tagging gap analysis, and priority recommendations
- • Implementation of governance processes takes 4–8 weeks depending on complexity
- • Ongoing FinOps retainers run monthly or quarterly and typically continue for 6–12 months until the organization has internalized the practices
Entity Definitions
- Lambda
- Lambda is an AWS service used in finops consulting — aws cloud cost governance implementations.
- EC2
- EC2 is an AWS service used in finops consulting — aws cloud cost governance implementations.
- S3
- S3 is an AWS service used in finops consulting — aws cloud cost governance implementations.
- RDS
- RDS is an AWS service used in finops consulting — aws cloud cost governance implementations.
- ECS
- ECS is an AWS service used in finops consulting — aws cloud cost governance implementations.
- serverless
- serverless is a cloud computing concept used in finops consulting — aws cloud cost governance implementations.
- cost optimization
- cost optimization is a cloud computing concept used in finops consulting — aws cloud cost governance implementations.
- compliance
- compliance is a cloud computing concept used in finops consulting — aws cloud cost governance implementations.
Frequently Asked Questions
What is FinOps consulting?
FinOps consulting helps organizations establish cloud financial management as an operational discipline — not a one-time cleanup exercise. A FinOps consultant works with engineering, finance, and product teams to create shared visibility into cloud spend, implement governance processes, and continuously optimize costs as usage evolves. The goal is moving from reactive billing surprises to predictable, business-aligned cloud spending.
How is FinOps consulting different from a cost optimization engagement?
A cost optimization engagement typically delivers a one-time reduction — right-size these instances, delete these resources, purchase these Savings Plans. FinOps consulting builds the ongoing operating model: tagging standards, team accountability, monthly review cadences, and the governance that prevents waste from accumulating again. FinOps includes cost optimization as one component, but goes further to build organizational capability.
How long does a FinOps engagement take?
Initial FinOps assessments typically complete in 2–3 weeks and deliver a maturity baseline, tagging gap analysis, and priority recommendations. Implementation of governance processes takes 4–8 weeks depending on complexity. Ongoing FinOps retainers run monthly or quarterly and typically continue for 6–12 months until the organization has internalized the practices.
What does FinOps consulting cost?
FinOps assessment engagements typically range from $5,000–$15,000 depending on account complexity and number of AWS accounts. Ongoing FinOps retainers range from $2,000–$8,000/month. These costs are almost always recovered within the first month through identified savings opportunities. We are happy to provide a fixed-fee estimate after a brief discovery call.
What AWS tools do you use for FinOps?
We use the full AWS cost management stack: Cost Explorer for spend analysis and trending, AWS Budgets for threshold alerts, Cost Anomaly Detection for ML-powered anomaly identification, Compute Optimizer for right-sizing recommendations, Cost Optimization Hub for consolidated findings, and AWS Cost and Usage Reports (CUR) for detailed billing data. For multi-account environments, we use AWS Organizations-level cost management.
Can FinOps consulting work for multi-account AWS environments?
Yes — multi-account environments are where FinOps governance is most important and most often absent. We implement AWS Organizations-level cost allocation, shared savings plan management, and per-account budget ownership so that each team has visibility into the costs they control. RI/SP Group Sharing (now generally available) allows carving out discount pools by business unit without one team consuming another team's reserved capacity.
Do you work with startups or only enterprise clients?
We work across the spectrum — from Series A startups spending $10,000/month to mid-market companies spending $500,000+/month. FinOps principles apply at any scale. For earlier-stage companies, we typically focus on establishing tagging standards, purchasing the right Savings Plans commitments, and eliminating obvious waste. For larger organizations, governance, showback/chargeback, and multi-team accountability become the focus.
What is the FinOps Foundation Inform → Optimize → Operate framework?
The FinOps Foundation defines three iterative phases. Inform: gain visibility into cloud spend through tagging, allocation, and reporting so every dollar is attributed and visible to the teams responsible for it. Optimize: use that visibility to identify and act on waste — right-sizing, Savings Plans, storage tiering, scheduling. Operate: embed cost awareness into engineering workflows through budgets, anomaly alerts, and shared review cadences so optimization becomes continuous rather than periodic.
Related Content
- AWS Cost Optimization & FinOps Consulting — Related AWS service
- AWS CloudFront CDN Consulting — Related AWS service
- AWS RDS Consulting — Managed Database Design & Migration — Related AWS service
- AWS DevOps Consulting — Related AWS service
## What Is FinOps? FinOps (Cloud Financial Operations) is a practice that brings financial accountability to the variable spend model of cloud infrastructure. Traditional IT budgets were predictable — you bought servers, depreciated them over five years, and the cost was fixed. Cloud changes this: resources provision in seconds, scale automatically, and generate costs that vary with usage patterns. Without deliberate financial management, this flexibility becomes a liability. Costs accumulate in unexpected places. Engineering teams optimize for speed without visibility into the cost implications. Finance teams see a monthly bill with no way to attribute it to specific products, teams, or decisions. FinOps closes this gap by establishing a shared operational model across engineering, finance, and product teams. It is not about restricting cloud usage — it is about making cost a first-class engineering metric alongside performance, reliability, and security. ## The FinOps Framework: Inform → Optimize → Operate The FinOps Foundation defines three phases that organizations cycle through continuously: ### Phase 1: Inform Before you can optimize, you need visibility. The Inform phase establishes: - **Cost allocation tagging** — Every AWS resource tagged with environment, team, product, and cost center. This makes every dollar traceable to the team and decision that created it. - **Showback and chargeback** — Reporting that shows each team their cloud costs, creating awareness and accountability without restricting autonomy. - **Forecasting** — Baseline models for current spending and projections based on planned growth, enabling engineering and finance to align on expected costs before they appear on the bill. - **Unit economics** — Cost per transaction, cost per active user, cost per API call. These metrics connect cloud spend to business outcomes, making optimization decisions business-driven rather than arbitrary. The Inform phase often surfaces the biggest quick wins — resources running in the wrong environment, unused reserved capacity, or entire product lines whose cloud costs had never been measured against their revenue contribution. ### Phase 2: Optimize With visibility established, systematic optimization becomes possible: - **Right-sizing** — Compute Optimizer analysis of EC2, RDS, Lambda, and ECS resources. We regularly find instances running at 10–20% utilization that can be reduced by 50% or more. - **Savings Plans and Reserved Instances** — Commitment-based discounts of 30–60% for steady-state workloads. The key is right-sizing before committing — reserving an oversized instance locks in waste for 1–3 years. - **Storage lifecycle policies** — S3 Intelligent-Tiering and Glacier transitions for infrequently accessed data. For most organizations, 60–70% of stored data has not been accessed in 90 days. - **Scheduling** — Non-production environments stopped outside business hours. This alone cuts non-production compute costs by 60–65%. - **Architecture optimization** — Graviton instances, serverless for appropriate workloads, data transfer route optimization. These are longer-term but high-leverage. ### Phase 3: Operate The Operate phase embeds financial discipline into engineering workflows so optimization is continuous: - **Budget alerts and anomaly detection** — Proactive notification when spending deviates from forecast, before the bill arrives. - **Cost review cadences** — Regular (monthly or sprint-aligned) cost reviews where teams examine their spend, identify anomalies, and take action. - **Optimization backlogs** — Cost optimization tasks tracked alongside product and engineering work, with defined ownership and timelines. - **FinOps champions** — Engineers within each team who own cost accountability for their services and participate in cross-team FinOps reviews. The Operate phase is where most organizations fail. They do a successful cost reduction, declare victory, and watch costs climb again over the next six months. Sustained savings require sustained process. ## FinOps Maturity Model The [FinOps Foundation](https://www.finops.org/framework/) defines three maturity stages — Crawl, Walk, Run — that describe an organization's depth of financial operations practice. We assess your current stage and map a roadmap to the next. | Stage | Tagging coverage | Cost visibility | Savings commitments | Anomaly detection | Engineering accountability | | ----- | ---------------- | -------------------------------- | -------------------------------- | ------------------------------ | ---------------------------------- | | Crawl | Ad hoc, < 50% | Top-level only (account/service) | None or one-off RIs | Reactive — bill review | None — finance owns cost | | Walk | Mandated, 50–80% | Per team / per product | Savings Plans for steady-state | Cost Anomaly Detection enabled | Engineering sees showback | | Run | Automated, > 95% | Per feature / unit economics | Multi-year mix optimized monthly | Automated alerts → owner | Cost-per-feature in sprint reviews | Most enterprises we engage start at **Crawl-to-Walk** transition. Within one quarter we typically move them to **Walk** with measurable savings; reaching **Run** is a multi-quarter journey that requires organizational buy-in beyond engineering. ### FinOps Consulting vs Generic Cost Optimization vs MSP | Approach | Scope | Outcome | Sustained savings? | | -------------------------------- | ---------------------------------------------- | -------------------------------------------- | ---------------------------------------- | | FinOps consulting (our practice) | Process + tooling + culture across eng/finance | New operating model — costs stay down | Yes — process embedded | | One-off cost optimization audit | Technical findings + remediation list | Point-in-time savings | No — costs rebound in 6–12 months | | Managed Services Provider (MSP) | Outsourced operations including some cost work | Operational stability; cost is a side-effect | Partial — depends on incentive alignment | ## Our FinOps Consulting Services We offer FinOps engagements structured around your current maturity and goals: ### FinOps Assessment (2–3 weeks) A structured baseline of your current cloud financial management practices: - Account-by-account spend analysis and trend identification - Tagging coverage audit and gap report - Savings Plans and Reserved Instance utilization review - Compute Optimizer findings summary - FinOps maturity score across the Inform/Optimize/Operate dimensions - Prioritized recommendations with estimated annual impact ### FinOps Implementation (4–8 weeks) Hands-on implementation of the highest-priority recommendations: - Tagging strategy design and enforcement (using AWS Config rules or Tag Policies) - Cost allocation model configuration in Cost Explorer - Budget and anomaly detection setup for all teams - Savings Plans analysis and purchase recommendations - Right-sizing implementation for agreed resources - Non-production scheduling automation ### Ongoing FinOps Retainer Monthly or quarterly optimization sprints that keep savings on track: - Monthly spend review and variance analysis - Quarterly Savings Plans and RI utilization review and adjustment - Compute Optimizer re-analysis as workloads evolve - New AWS service cost impact assessment - Cost review facilitation with engineering and finance teams - Annual FinOps maturity re-assessment ## FinOps by Industry **SaaS companies** benefit from unit economics — connecting AWS spend to monthly active users, API calls, or workspaces enables cost-efficient scaling and more accurate pricing models. **Startups** need to establish the right foundations early. The tagging standards and Savings Plans strategy you implement at $20K/month determine how well you can manage costs at $200K/month. **Fintech and healthcare** operate under compliance requirements that constrain some optimizations (you cannot remove audit logging to save costs). FinOps in regulated industries focuses on optimizing within compliance constraints, not around them. ## Tools We Use - **AWS Cost Explorer** — Spend analysis, trending, forecasting, and RI/SP utilization - **AWS Budgets** — Team and service budget thresholds with alert actions - **Cost Anomaly Detection** — ML-powered anomaly identification with 24-hour detection windows - **Compute Optimizer** — Right-sizing recommendations for EC2, ECS, Lambda, and EBS - **Cost Optimization Hub** — Consolidated recommendations from Compute Optimizer, Trusted Advisor, and Cost Explorer - **AWS Cost and Usage Reports (CUR)** — Granular billing data for custom analysis - **Cost Allocation Tags and Tag Policies** — Enforcement of tagging standards across all accounts For a deeper look at specific optimization strategies, see our guide on [5 AWS Cost Optimization Strategies Most Teams Overlook](/blog/5-aws-cost-optimization-strategies-most-teams-overlook/) and the [AWS Cost Explorer monitoring guide](/blog/aws-cost-explorer-budgets-monitoring-guide/). For the full suite of AWS cost reduction capabilities, see our [AWS Cost Optimization Services](/services/aws-cloud-cost-optimization-services/). For ongoing operational management that includes cost optimization, see [AWS Managed Services](/services/aws-managed-services/). A [free AWS Well-Architected Review](/services/aws-architecture-review/) from our team includes a cost optimization pillar assessment that identifies quick wins and strategic improvements — often a useful starting point before committing to a full FinOps engagement. [Book a Free FinOps Assessment →](/contact-us/)
What Is FinOps?
FinOps (Cloud Financial Operations) is a practice that brings financial accountability to the variable spend model of cloud infrastructure. Traditional IT budgets were predictable — you bought servers, depreciated them over five years, and the cost was fixed. Cloud changes this: resources provision in seconds, scale automatically, and generate costs that vary with usage patterns.
Without deliberate financial management, this flexibility becomes a liability. Costs accumulate in unexpected places. Engineering teams optimize for speed without visibility into the cost implications. Finance teams see a monthly bill with no way to attribute it to specific products, teams, or decisions.
FinOps closes this gap by establishing a shared operational model across engineering, finance, and product teams. It is not about restricting cloud usage — it is about making cost a first-class engineering metric alongside performance, reliability, and security.
The FinOps Framework: Inform → Optimize → Operate
The FinOps Foundation defines three phases that organizations cycle through continuously:
Phase 1: Inform
Before you can optimize, you need visibility. The Inform phase establishes:
- Cost allocation tagging — Every AWS resource tagged with environment, team, product, and cost center. This makes every dollar traceable to the team and decision that created it.
- Showback and chargeback — Reporting that shows each team their cloud costs, creating awareness and accountability without restricting autonomy.
- Forecasting — Baseline models for current spending and projections based on planned growth, enabling engineering and finance to align on expected costs before they appear on the bill.
- Unit economics — Cost per transaction, cost per active user, cost per API call. These metrics connect cloud spend to business outcomes, making optimization decisions business-driven rather than arbitrary.
The Inform phase often surfaces the biggest quick wins — resources running in the wrong environment, unused reserved capacity, or entire product lines whose cloud costs had never been measured against their revenue contribution.
Phase 2: Optimize
With visibility established, systematic optimization becomes possible:
- Right-sizing — Compute Optimizer analysis of EC2, RDS, Lambda, and ECS resources. We regularly find instances running at 10–20% utilization that can be reduced by 50% or more.
- Savings Plans and Reserved Instances — Commitment-based discounts of 30–60% for steady-state workloads. The key is right-sizing before committing — reserving an oversized instance locks in waste for 1–3 years.
- Storage lifecycle policies — S3 Intelligent-Tiering and Glacier transitions for infrequently accessed data. For most organizations, 60–70% of stored data has not been accessed in 90 days.
- Scheduling — Non-production environments stopped outside business hours. This alone cuts non-production compute costs by 60–65%.
- Architecture optimization — Graviton instances, serverless for appropriate workloads, data transfer route optimization. These are longer-term but high-leverage.
Phase 3: Operate
The Operate phase embeds financial discipline into engineering workflows so optimization is continuous:
- Budget alerts and anomaly detection — Proactive notification when spending deviates from forecast, before the bill arrives.
- Cost review cadences — Regular (monthly or sprint-aligned) cost reviews where teams examine their spend, identify anomalies, and take action.
- Optimization backlogs — Cost optimization tasks tracked alongside product and engineering work, with defined ownership and timelines.
- FinOps champions — Engineers within each team who own cost accountability for their services and participate in cross-team FinOps reviews.
The Operate phase is where most organizations fail. They do a successful cost reduction, declare victory, and watch costs climb again over the next six months. Sustained savings require sustained process.
FinOps Maturity Model
The FinOps Foundation defines three maturity stages — Crawl, Walk, Run — that describe an organization’s depth of financial operations practice. We assess your current stage and map a roadmap to the next.
| Stage | Tagging coverage | Cost visibility | Savings commitments | Anomaly detection | Engineering accountability |
|---|---|---|---|---|---|
| Crawl | Ad hoc, < 50% | Top-level only (account/service) | None or one-off RIs | Reactive — bill review | None — finance owns cost |
| Walk | Mandated, 50–80% | Per team / per product | Savings Plans for steady-state | Cost Anomaly Detection enabled | Engineering sees showback |
| Run | Automated, > 95% | Per feature / unit economics | Multi-year mix optimized monthly | Automated alerts → owner | Cost-per-feature in sprint reviews |
Most enterprises we engage start at Crawl-to-Walk transition. Within one quarter we typically move them to Walk with measurable savings; reaching Run is a multi-quarter journey that requires organizational buy-in beyond engineering.
FinOps Consulting vs Generic Cost Optimization vs MSP
| Approach | Scope | Outcome | Sustained savings? |
|---|---|---|---|
| FinOps consulting (our practice) | Process + tooling + culture across eng/finance | New operating model — costs stay down | Yes — process embedded |
| One-off cost optimization audit | Technical findings + remediation list | Point-in-time savings | No — costs rebound in 6–12 months |
| Managed Services Provider (MSP) | Outsourced operations including some cost work | Operational stability; cost is a side-effect | Partial — depends on incentive alignment |
Our FinOps Consulting Services
We offer FinOps engagements structured around your current maturity and goals:
FinOps Assessment (2–3 weeks)
A structured baseline of your current cloud financial management practices:
- Account-by-account spend analysis and trend identification
- Tagging coverage audit and gap report
- Savings Plans and Reserved Instance utilization review
- Compute Optimizer findings summary
- FinOps maturity score across the Inform/Optimize/Operate dimensions
- Prioritized recommendations with estimated annual impact
FinOps Implementation (4–8 weeks)
Hands-on implementation of the highest-priority recommendations:
- Tagging strategy design and enforcement (using AWS Config rules or Tag Policies)
- Cost allocation model configuration in Cost Explorer
- Budget and anomaly detection setup for all teams
- Savings Plans analysis and purchase recommendations
- Right-sizing implementation for agreed resources
- Non-production scheduling automation
Ongoing FinOps Retainer
Monthly or quarterly optimization sprints that keep savings on track:
- Monthly spend review and variance analysis
- Quarterly Savings Plans and RI utilization review and adjustment
- Compute Optimizer re-analysis as workloads evolve
- New AWS service cost impact assessment
- Cost review facilitation with engineering and finance teams
- Annual FinOps maturity re-assessment
FinOps by Industry
SaaS companies benefit from unit economics — connecting AWS spend to monthly active users, API calls, or workspaces enables cost-efficient scaling and more accurate pricing models.
Startups need to establish the right foundations early. The tagging standards and Savings Plans strategy you implement at $20K/month determine how well you can manage costs at $200K/month.
Fintech and healthcare operate under compliance requirements that constrain some optimizations (you cannot remove audit logging to save costs). FinOps in regulated industries focuses on optimizing within compliance constraints, not around them.
Tools We Use
- AWS Cost Explorer — Spend analysis, trending, forecasting, and RI/SP utilization
- AWS Budgets — Team and service budget thresholds with alert actions
- Cost Anomaly Detection — ML-powered anomaly identification with 24-hour detection windows
- Compute Optimizer — Right-sizing recommendations for EC2, ECS, Lambda, and EBS
- Cost Optimization Hub — Consolidated recommendations from Compute Optimizer, Trusted Advisor, and Cost Explorer
- AWS Cost and Usage Reports (CUR) — Granular billing data for custom analysis
- Cost Allocation Tags and Tag Policies — Enforcement of tagging standards across all accounts
For a deeper look at specific optimization strategies, see our guide on 5 AWS Cost Optimization Strategies Most Teams Overlook and the AWS Cost Explorer monitoring guide.
For the full suite of AWS cost reduction capabilities, see our AWS Cost Optimization Services. For ongoing operational management that includes cost optimization, see AWS Managed Services.
A free AWS Well-Architected Review from our team includes a cost optimization pillar assessment that identifies quick wins and strategic improvements — often a useful starting point before committing to a full FinOps engagement.
Key Features
Cost Visibility & Tagging
Implement a comprehensive tagging strategy and cost allocation model so every dollar maps to a team, product, or environment.
Savings Plans & Reserved Instances
Analyze usage patterns and commit to the right mix of Savings Plans and Reserved Instances — without over-committing or locking in waste.
Right-Sizing & Resource Optimization
Use Compute Optimizer and Cost Explorer to identify overprovisioned resources and implement right-sizing across EC2, RDS, Lambda, and containers.
FinOps Governance & Budgets
Establish budget alerts, anomaly detection, and cost review cadences that keep cloud spend within forecast — and surface surprises before they hit the bill.
Continuous Optimization Sprints
Monthly or quarterly optimization sprints to review new AWS service launches, adjust commitments, and keep savings on track as your environment evolves.
Why Choose FactualMinds?
AWS Select Tier Partner
Validated expertise in AWS cost optimization with access to AWS FinOps resources and tools.
25–35% Average Savings
Proven savings outcomes across startups, SaaS companies, and enterprise workloads.
FinOps Foundation Aligned
Our methodology follows the FinOps Foundation Inform → Optimize → Operate framework.
No Long-Term Lock-In
Flexible engagement models — one-time assessment, quarterly sprints, or ongoing retainer.
Frequently Asked Questions
What is FinOps consulting?
FinOps consulting helps organizations establish cloud financial management as an operational discipline — not a one-time cleanup exercise. A FinOps consultant works with engineering, finance, and product teams to create shared visibility into cloud spend, implement governance processes, and continuously optimize costs as usage evolves. The goal is moving from reactive billing surprises to predictable, business-aligned cloud spending.
How is FinOps consulting different from a cost optimization engagement?
A cost optimization engagement typically delivers a one-time reduction — right-size these instances, delete these resources, purchase these Savings Plans. FinOps consulting builds the ongoing operating model: tagging standards, team accountability, monthly review cadences, and the governance that prevents waste from accumulating again. FinOps includes cost optimization as one component, but goes further to build organizational capability.
How long does a FinOps engagement take?
Initial FinOps assessments typically complete in 2–3 weeks and deliver a maturity baseline, tagging gap analysis, and priority recommendations. Implementation of governance processes takes 4–8 weeks depending on complexity. Ongoing FinOps retainers run monthly or quarterly and typically continue for 6–12 months until the organization has internalized the practices.
What does FinOps consulting cost?
FinOps assessment engagements typically range from $5,000–$15,000 depending on account complexity and number of AWS accounts. Ongoing FinOps retainers range from $2,000–$8,000/month. These costs are almost always recovered within the first month through identified savings opportunities. We are happy to provide a fixed-fee estimate after a brief discovery call.
What AWS tools do you use for FinOps?
We use the full AWS cost management stack: Cost Explorer for spend analysis and trending, AWS Budgets for threshold alerts, Cost Anomaly Detection for ML-powered anomaly identification, Compute Optimizer for right-sizing recommendations, Cost Optimization Hub for consolidated findings, and AWS Cost and Usage Reports (CUR) for detailed billing data. For multi-account environments, we use AWS Organizations-level cost management.
Can FinOps consulting work for multi-account AWS environments?
Yes — multi-account environments are where FinOps governance is most important and most often absent. We implement AWS Organizations-level cost allocation, shared savings plan management, and per-account budget ownership so that each team has visibility into the costs they control. RI/SP Group Sharing (now generally available) allows carving out discount pools by business unit without one team consuming another team's reserved capacity.
Do you work with startups or only enterprise clients?
We work across the spectrum — from Series A startups spending $10,000/month to mid-market companies spending $500,000+/month. FinOps principles apply at any scale. For earlier-stage companies, we typically focus on establishing tagging standards, purchasing the right Savings Plans commitments, and eliminating obvious waste. For larger organizations, governance, showback/chargeback, and multi-team accountability become the focus.
What is the FinOps Foundation Inform → Optimize → Operate framework?
The FinOps Foundation defines three iterative phases. Inform: gain visibility into cloud spend through tagging, allocation, and reporting so every dollar is attributed and visible to the teams responsible for it. Optimize: use that visibility to identify and act on waste — right-sizing, Savings Plans, storage tiering, scheduling. Operate: embed cost awareness into engineering workflows through budgets, anomaly alerts, and shared review cadences so optimization becomes continuous rather than periodic.
Ready to Get Started?
Talk to our AWS experts about how we can help transform your business.