Delling IT Book an assessment

Azure FinOps & Cloud Infrastructure Engineering

FinOps for Azure and AI, engineered from the landing zone up.

Delling IT designs, deploys and runs your FinOps practice on Azure — cost data and allocation, commitments and architecture, AI spend and guardrails — so engineering, finance and leadership decide with the same numbers.

  • Aligned to the FinOps Framework™
  • Read-only access to start
  • St. Petersburg, Florida
Your estate Azure + AI spend
01 · Inform Visibility & allocation FOCUS data, tags, showback
02 · Optimize Rates & usage Commitments, rightsizing, tokens
03 · Operate Governance & cadence Policy, budgets, monthly review
FinOps Framework phases, run as a continuous monthly cycle.

Why FinOps

Savings are one outcome. FinOps is the operating model.

Cost cutting is a project. FinOps is how engineering, finance and leadership share one view of technology spend, own their part of it, and tie it to business value — month after month.

We still find the waste. Then we build the data, ownership and guardrails that keep it from coming back, and report on the numbers that show the practice is working.

What we report on

01
Allocated spendShare of cost mapped to an owner, an application and an environment.
02
Commitment coverage & utilizationHow much steady usage is discounted, and how much of what you bought is used.
03
Effective savings rateThe discount actually realized across everything you run.
04
Forecast varianceHow close the forecast lands to the invoice.
05
Anomaly response timeFrom an unexpected spike to an owner taking action.
06
Unit costCost per customer, transaction or AI request.

Rate levers built into Azure

Up to 72%

Azure Reservations

One- or three-year commitments for steady VM, database and storage workloads.

Source: Microsoft Learn
Up to 65%

Savings plan for compute

An hourly spend commitment that follows workloads across VM sizes and regions.

Source: Microsoft Learn
Up to 85%

Azure Hybrid Benefit

Windows Server and SQL Server licenses you already own, applied to Azure.

Source: Microsoft Azure
Up to 90%

Spot Virtual Machines

Spare capacity for batch, CI, dev/test and training jobs that tolerate eviction.

Source: Microsoft Learn

Microsoft’s published maximums compared with pay-as-you-go pricing. Actual savings depend on your workloads, region, term and licensing.

The FinOps lifecycle

Design. Deploy. Manage.

Every engagement follows the FinOps Framework phases — Inform, Optimize, Operate — mapped to the Azure tools that do the work. Each step names the Framework capability it builds.

01

Design

Assess and plan
Inform
  1. Maturity baselineCrawl, Walk, Run scores per capability, from interviews with engineering, finance and leadership.FinOps Assessment
  2. Scopes & KPIsWhich products, cost centers and environments to manage, and the KPIs each one is judged by.KPIs & Benchmarking
  3. Cost data architectureBilling scopes (EA, MCA, CSP), FOCUS exports and the FinOps hubs design.Data Ingestion
  4. Allocation modelTag dictionary, management-group layout, and how shared hub-and-spoke network costs are split.Allocation
  5. Guardrail designAzure Policy initiatives, budgets per scope, and a RACI for who acts on what.Governance, Policy & Risk
  6. Architecture cost reviewA Well-Architected cost review of the workloads that matter most.Architecting & Workload Placement
02

Deploy

Build the foundation, take the quick wins
Optimize
  1. Cost data pipelineCost Management FOCUS exports, FinOps hubs and the FinOps toolkit Power BI reports.Reporting & Analytics
  2. Tagging enforcedAzure Policy modify and inherit rules, deployed with Terraform.Allocation
  3. Budgets & anomaly alertsBudgets with action groups, and anomaly alerts routed to the owner who can act.Anomaly Management
  4. Usage quick winsAdvisor, the cost optimization workbook and Azure Optimization Engine: rightsizing, idle and orphaned resources.Usage Optimization
  5. Rate optimizationReservations, savings plans, Azure Hybrid Benefit and Spot where workloads allow.Rate Optimization
  6. ShowbackDashboards by cost center and application, plus a one-page executive view.Invoicing & Chargeback
03

Manage

Run and improve the practice
Operate
  1. Monthly FinOps reviewSpend against budget, anomalies, savings realized and the open recommendations.FinOps Practice Operations
  2. Forecast & budget cycleQuarterly forecasts and budget resets, worked through with finance.Forecasting
  3. Commitment portfolioUtilization and coverage tracking, renewals and exchanges.Rate Optimization
  4. Unit economicsCost per customer, transaction, environment or AI request.Unit Economics
  5. Governance driftPolicy compliance and the governance workbook, reviewed every month.Governance, Policy & Risk
  6. Re-assess and realignRe-score maturity every 6–12 months and reset the roadmap with leadership.Executive Strategy Alignment

Capability names follow the 2026 FinOps Framework.

Felipe Alvarez, founder of Delling IT

Who leads your practice

An engineer who builds what the FinOps report recommends.

Delling IT is led by Luis Felipe Alvarez, an Azure infrastructure engineer who runs enterprise environments day to day: hub-and-spoke landing zones, Palo Alto VM-Series firewalls, site-to-site VPN from on-premises UniFi edges, Site Recovery, Azure Backup and Azure Files migrations.

So the whole Design, Deploy, Manage cycle has one accountable lead — from the tagging taxonomy to the firewall route table.

  • Microsoft Azure
  • FinOps toolkit
  • Terraform
  • Palo Alto Networks
  • Ubiquiti UniFi
  • Azure Site Recovery

FinOps for AI

AI spend gets the same discipline. And AI does some of the work.

Model tokens, provisioned throughput and GPU hours behave differently from VMs. We bring them into the same allocation, budgets and unit economics as the rest of your Azure estate.

Token visibility & showback

Allocate Azure OpenAI and Foundry model spend by app and team, with per-consumer token metrics from the API Management AI gateway.

Allocation

Deployment & rate strategy

Standard versus provisioned throughput (PTU) and PTU reservations, plus Batch for async jobs at 50% less than global standard.

Rate Optimization

GPU compute

GPU VMs and AKS GPU node pools: scheduling, Spot for interruptible training, reservations for steady inference.

Usage Optimization

AI guardrails

Per-consumer token limits in the AI gateway, with budgets and anomaly alerts on AI meters.

Governance, Policy & Risk

AI unit economics

Cost per conversation, document or request, tied to the value the feature delivers.

Unit Economics

AI for FinOps

FinOps hubs expose cost data to AI tools and custom agents through an MCP server. We build agents that draft the monthly review and triage anomalies, with a person approving every change.

Automation, Tools & Services

Engineering-led FinOps

FinOps that reaches into the architecture.

Some of the largest cost decisions on Azure sit in network design, recovery and licensing. We take these capabilities further because we build them.

Network cost architecture

Hub-and-spoke or Virtual WAN, egress, gateways and NVA placement, keeping UDR-forced inspection through Palo Alto VM-Series firewalls and Private Endpoints intact.

Architecting & Workload Placement

Backup & DR right-sizing

Azure Backup retention, storage tiers and Site Recovery scope matched to the RPO and RTO each workload actually needs.

Usage Optimization

Guardrails as code

Terraform modules and Azure Policy that make the optimized configuration the default and flag drift as it happens.

Governance, Policy & Risk

Licensing

Azure Hybrid Benefit coverage for Windows Server and SQL Server, and license-aware rightsizing.

Licensing & SaaS

Engagements

Start with an assessment. Scale from there.

01 · Design Start here

FinOps Assessment

A fixed-scope assessment of your Azure estate.

  • Maturity scorecard across the Framework capabilities
  • Allocation and tagging design
  • Prioritized savings backlog, including AI workloads
  • Roadmap you can run with or without us

$2,500 fixed

02 · Deploy

FinOps Launch Sprint

We stand up the foundation and take the quick wins.

  • FOCUS exports, FinOps hubs and Power BI reports
  • Azure Policy guardrails, budgets and anomaly alerts
  • Rightsizing and rate optimization applied
  • AI gateway token metrics where AI runs

$6,000 fixed

03 · Manage

Managed FinOps

Your FinOps practice, run every month.

  • Monthly review and report
  • Commitment and forecast management
  • KPIs and unit economics, Azure and AI
  • Quarterly review with leadership

$1,500 / month

Find out what your Azure and AI spend should buy you.

Tell us how many subscriptions you run, your rough monthly spend and whether AI workloads are in the mix. We’ll reply with what an assessment would cover.

Book a FinOps assessment luis.alvarez@dellingit.com