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Cloud Economics

Cloud Margin & Cost Optimization

Lower AWS spend and improve infrastructure gross margins while preserving the reliability, security, and performance bar.

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Our promise

We help leadership understand where AWS spend comes from today, how the architecture will shape the cost curve as the system scales, and which changes can improve margin and operational efficiency without compromising the operating bar.

Why it matters

Cloud spend becomes a leadership problem when it starts moving faster than revenue, usage, or the team's ability to explain it. The obvious savings are usually easy to find. Durable improvements come from understanding the architecture behind the bill, the security and reliability bar the system must meet, and the operational decisions that caused the spending in the first place.

The goal is not merely a lower bill. It is an architecture the business can operate efficiently as it grows, including work that prevents modest costs today from becoming disproportionate infrastructure bills later.

Ways to engage

Choose the level of support the decision requires.

Cloud margin assessment

A current and forward-looking review of spend, architecture, unit economics, and the cost drivers most likely to affect margin as the system grows.

Ongoing margin governance

Recurring support to review spend, forecasts, realized savings, and consequential architecture decisions before they create new cost problems.

Follow-on implementation is evaluated and scoped separately after the assessment. It is focused, outcome-based, and never assumed.

Business outcomes

What changes for the business.

The work is grounded in technical detail, but its value is measured by what your organization can do with greater confidence.

  • Improve margin now and as the system grows

    Capture worthwhile savings in the current environment while addressing architectural cost drivers that could grow disproportionately with usage.

  • Make infrastructure spend more predictable

    Give finance, engineering, and leadership a shared view of what drives spend, how costs are likely to change, and which assumptions create forecasting risk.

  • Protect the operating bar

    Improve cost efficiency without weakening the reliability, security, latency, or performance expectations customers depend on.

  • Return engineering capacity to the product

    Reduce operational drag where unnecessary cost and unnecessary complexity share the same architectural cause.

How the engagement works

From technical context to a decision the business can act on.

  1. 01

    Establish the current baseline

    We review usage, cost allocation, workload shape, AWS account structure, operational patterns, and the architecture decisions that drive recurring spend.

  2. 02

    Model the future cost curve

    We connect growth assumptions to the architecture so leadership can see which costs should scale predictably and which may grow faster than usage or revenue.

  3. 03

    Evaluate credible options

    We compare immediate optimizations and deeper architecture changes across financial value, implementation effort, operational impact, and reliability or security risk.

  4. 04

    Build the margin roadmap

    We translate the best options into decisions leadership can fund, work engineering can execute, and measures the business can use to track realized value.

What you receive

Useful outputs, not a consulting black box.

The result is a shared financial and technical decision model for leadership, finance, and engineering.

Featured output

A current and projected cost model

See where infrastructure spend comes from today, how it is expected to change as the system grows, and where uncertainty could materially change the forecast.

Architecture options with explicit tradeoffs

Understand the design choices driving spend and the credible alternatives, including financial value, implementation cost, operational impact, and effect on the operating bar.

A unit-economics model the business can use

Connect infrastructure cost to the measure that matters for the company, such as product, customer, tenant, workload, or transaction.

A prioritized decision and implementation roadmap

Know what to do first, what needs more design work, what carries risk, and what should be avoided, with sequencing, dependencies, ownership, and measures of value.

An executive readout

Finance, product, and engineering leadership leave with the same narrative about where spend is going, why it matters, and which decisions need funding.

Why choose 2birds

Principal-level judgment grounded in operating reality.

  • 01We have operated AWS services where infrastructure margin was a first-order business concern, not an abstract FinOps metric.
  • 02We know how cost, reliability, latency, security, and operational load interact because we made those decisions inside AWS at significant production scale.
  • 03We look for architecture-level opportunities that tools and billing reviews usually miss: data movement, retention, workload shape, database choices, regional design, and reliability-driven overprovisioning.
  • 04We look for opportunities to simplify operations as well as reduce spend because recurring operational load is itself a cost to the business.
  • 05We help leadership and engineering align on a plan that protects the operating bar, makes value measurable, and improves margin.

Technical scope

Depth follows the decision.

The assessment follows the engineering behind the bill, from workload behavior and data movement to the financial model leadership uses to make decisions.

  • Architecture and data-transfer cost analysis
  • Storage, retention, and observability spend review
  • Compute and workload-shape economics
  • Database selection and usage-pattern analysis
  • Multi-region and reliability-driven cost tradeoffs
  • Unit economics, attribution, and forecasting

Start with the decision in front of you

Tell us what needs to improve, what is at risk, or what needs to get unblocked.

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