FinOps · AWS + Google Cloud
We work with enterprise organizations to build a cloud operation with full visibility, attributable costs, and continuous optimization — on AWS and Google Cloud, with the FinOps framework as a discipline, not a project.
In the cloud, spending is decided thousands of times a day by engineers who never see the bill. FinOps gives them visibility and accountability.
In the on-premise model, technology spend was decided once a year, in a committee, with a budget. In the cloud it's decided thousands of times a day: every deployment, every replica, every test environment someone forgot to shut down is a spending decision made by an engineer who, more often than not, never sees the bill. That's the root of the problem — and the reason why cutting budgets won't solve it: it attacks the symptom without touching the mechanism.
FinOps is the mechanism. It gives engineering teams visibility and accountability for the cost of their decisions, and gives finance and technology leadership the ability to forecast, attribute, and govern spend. It's not about spending less on the cloud. It's about knowing exactly what every dollar buys — and deciding accordingly.
And the urgency is real: AI adoption is multiplying cloud consumption in organizations that haven't yet solved visibility for their traditional spend. Running AI workloads on an operation without financial governance is scaling a problem, not a capability.
In most operations we assess, a significant portion of the bill isn't buying anything — it's there because nobody has looked at it.
Typical cloud bill · before and after FinOps
Approximate ranges from assessed projects
structural waste — orphaned resources · over-provisioning · environments left running
Detailed project results available under NDA.
Recuperar el control
Visibilidad · Cost allocation · Observabilidad
Eliminar desperdicio
Rightsizing · Kubernetes · Almacenamiento
Comprar bien
Reserved Instances · Savings Plans
Gasto predecible
Forecasting · Alertas
Instalar la disciplina
Governance · Automatización · Multi-cloud
See detail for each capability ↓
Full visibility into consumption — by service, application, team, environment, and business unit — with attribution models that turn an unreadable invoice into a P&L by product. The first question any cloud organization must be able to answer: who spends what, on what, and why?
We implement the visibility layer that answers where, when, and why cloud budget is being consumed: breakdown by service, application, project, team, environment, and account, with reliable data as the foundation for everything else. Without visibility, any optimization is anecdotal.
We design tagging strategies, account hierarchies, and allocation models by cost center, business unit, product, and application — including treatment of shared costs, which is where most attribution models fail. The result: every area sees its real consumption and can be accountable for it.
We convert technical metrics into indicators that technology leadership can use: unit cost per transaction, per customer, per product, or per environment. When cost is expressed in business units, conversations between technology and finance stop being negotiations and become decisions.
Continuous rightsizing of instances, storage, databases, and Kubernetes clusters; detection and cleanup of orphaned resources; intelligent shutdown of non-production environments. In most organizations we assess, a significant portion of spend isn't buying anything — it's there because nobody has looked at it.
Optimization of compute instances, storage, databases, managed services, and Kubernetes workloads, based on real utilization telemetry. It's not a one-time exercise: it's a process that runs with the same cadence as your infrastructure changes.
Clusters are among the biggest generators of cloud waste: oversized requests, underutilized nodes, poorly calibrated autoscaling. We optimize the relationship between requests, limits, bin packing, and scaling so the cluster only pays for what workloads actually need.
Lifecycle management policies, storage class selection based on real access patterns, cleanup of orphaned snapshots and volumes. Storage grows silently; we make it speak.
Reserved Instances and Savings Plans strategies sized with real consumption data and growth projections — not optimism. The right commitment reduces the rate; the wrong commitment turns savings into a liability.
We analyze stable vs. variable consumption to size capacity commitments with the right balance between discount and flexibility, and manage their coverage and utilization over time — because a reservation without tracking degrades with every architecture change.
Cost forecasting and capacity planning that allow budgeting the cloud with the same rigor applied to any other critical operation — and smart alerts that detect deviations when they're a data point, not when they're already a problem in the board meeting.
Spend projection based on consumption trends, seasonality, and product roadmap, so next year's cloud budget is a plan and not a bet.
Thresholds and anomaly detection by service, application, project, team, environment, and account, with notification routes that reach those who can act — not an inbox nobody reads. The difference between a budget deviation and a budget incident is detection time.
Governance policies, automation, and per-team accountability that make optimization self-sustaining. The goal isn't to deliver a savings report: it's to leave you with an operation that optimizes itself and an organization that decides with reliable financial data.
Policies that standardize deployments, control resource creation, automate compliance, and prevent orphaned resources before they exist. Well-designed governance doesn't slow teams down: it removes decisions they shouldn't have to make every time.
Intelligent shutdown of non-production environments, scheduled and reactive scaling, automatic lifecycle policies, remediation of out-of-compliance configurations, and continuous recommendations integrated into team workflows. What depends on human discipline degrades; what's automated sustains.
We apply the cost optimization pillars of the AWS Well-Architected Framework and the Google Cloud Architecture Framework in architecture design and review — because the most important cost decision isn't made in the billing console: it's made in the architecture diagram.
Consistent visibility and governance when operations live on AWS and Google Cloud simultaneously: common attribution taxonomies, cross-platform cost comparability, and clear workload placement criteria.
The bill grows faster than the business.
We build the unit-cost-per-transaction relationship that turns growth into a decision.
When cloud spend grows above the revenue or transactions it supports, the problem isn't the cloud: it's the absence of a measured relationship between consumption and value. We build that relationship — unit cost per transaction, per customer, per product — and from there, spend growth becomes a decision and not a surprise.We can't explain the bill, let alone forecast it.
We implement attribution and forecasting: who spends, on what, how much they'll spend.
Shared accounts, untagged resources, common costs with no allocation criteria. We implement the attribution and forecasting that turn the bill into information: who spends, on what, and how much they'll spend next quarter.We know there's waste, but nobody has time to look for it.
We automate detection and remediation. Waste doesn't depend on someone having time.
Dev environments left running over weekends, instances sized for a peak that happened once, orphaned volumes from projects that no longer exist. We automate detection and remediation so waste doesn't depend on someone having time.Every team deploys however they want and nobody is accountable for cost.
Governance and per-team accountability: budgets, owner visibility, automated policies.
Without policies or accountability, the cloud rewards speed and penalizes efficiency. We install governance and accountability mechanisms — per-team budgets, owner visibility, automated policies — that align autonomy with responsibility.We bought reservations and don't know if it was a good idea.
Committed capacity audit and redesign with real consumption data.
Low coverage, poor utilization, commitments that no longer match the current architecture. We audit and redesign the committed capacity strategy with real consumption data.We need to justify the cloud investment to leadership.
Cost in business units + predictable spend = the conversation shifts from why to what capacity.
When cost is expressed in business units and spend is predictable, the conversation with the board shifts from 'why do we spend so much' to 'what capacity are we buying.' We give you the data to sustain that conversation.We work as an extension of your technology team, in a continuous cycle:
Assessment of your cloud operation: accounts, consumption, attribution, governance. Deliverable: prioritized map.
We start with an assessment of your cloud operation: account structure, consumption patterns, attribution maturity, commitment coverage, governance practices. The deliverable isn't a generic diagnosis: it's a prioritized map of opportunities with estimated impact and effort required.
Every recommendation with a business case: impact, risk, execution order.
Every recommendation comes with its case: what to change, what impact it has, what risk it implies, and in what order to execute. We distinguish between quick wins — which fund the program from the first weeks — and structural changes that sustain efficiency long term.
We execute alongside your teams. We transfer knowledge in the process.
We don't deliver the report and leave: we execute alongside your teams the rightsizing, commitment strategy, attribution models, and governance policies, transferring knowledge in the process.
What worked becomes code: shutdowns, scaling, alerts, remediations.
We turn what worked into code: shutdowns, scaling, policies, alerts, remediations. Optimization that depends on people's memory degrades; what's automated sustains and scales.
Periodic reviews, per-team indicators, commitment adjustments. Growing autonomy.
We install the cadence — periodic reviews, per-team indicators, anomaly detection, commitment adjustments — that keeps operations optimized as architecture, business, and provider pricing change. Because they change.
The ultimate goal is uncomfortable for a vendor to say, but it's the right one: for your organization to develop the capability to operate FinOps with increasing autonomy, with us as a continuous improvement partner and not a permanent dependency.
We don't publish details of our cloud projects: our clients run mission-critical platforms and we treat their information with the same confidentiality we'd demand for our own. Instead, these are the verifiable credentials that back our work — and what each one means in practice for you.
Verified clients, certified engineers, AWS-audited projects.
It's not just a logo: it's an AWS validation that requires verified active clients, certified engineers, and projects audited by the provider itself. For you it means access to resources, funding programs, and technical support that AWS reserves for its partner network — and the certainty that our work meets the standards of the provider whose platform you run on.
Current certifications in both platforms. The cloud changes every month.
Our architects and engineers maintain current official certifications in both platforms. This matters for a practical reason: the cloud changes every month — new instance types, new pricing models, new services — and an optimization recommendation based on last year's catalog could be a bad decision today. Current certification is our discipline to prevent that.
Public and auditable framework, not a proprietary methodology.
We work on the framework of phases and capabilities defined by the FinOps Foundation — the industry standard — instead of a proprietary methodology. For you it means two things: what we build is auditable against a public standard, and the knowledge we transfer to your teams serves them beyond our relationship.
Optimization that doesn't compromise availability, security, or performance.
We apply the AWS Well-Architected Framework and the Google Cloud Architecture Framework in every review, because financial optimization that compromises availability, security, or performance isn't optimization: it's debt. Our cost recommendations always pass through the architecture filter.
Certification + on-staff CISO. Access to your billing deserves an audited answer.
We hold ISO 27001 certification and an on-staff CISO, with experience operating client information in regulated sectors — finance, healthcare, insurance. A FinOps exercise requires deep access to your billing, architecture, and consumption data; the question of who gets that access deserves an audited answer.
Enterprise depth, operational proximity. Mexico, Central America, South America.
We are over 160 people — architects, infrastructure engineers, consultants, and dedicated support teams — working with organizations in Mexico, Central America, and South America. Enough technical depth for enterprise environments; enough proximity so your operation isn't a ticket.
HABLEMOS
If you lead your organization's technology, you probably already know there's efficiency to capture in your cloud operation. The real question is another one: whether your organization has the visibility, mechanisms, and discipline today to capture it sustainably — or whether every optimization is a heroic effort that erodes by next quarter. That's the conversation we propose. It starts with an assessment of your operation: what you see, what you don't, where the opportunity is, and how far you are from a governed cloud operation. No commitment and with a concrete deliverable, useful even if you decide to execute without us.
Edgar García
Tech Lead · Cloud FinOps
Leads architecture assessments and cloud optimization at Vinneren. If your challenge is cost visibility, rightsizing, or financial governance on AWS and Google Cloud, he's your first point of contact.
Qué esperar de la sesión:
Vinneren — Visibility, governance, and continuous optimization for your cloud operation.
