The bill outgrew the forecast
Spend is up sharply with no matching growth in usage, and nobody can attribute the increase to a specific team or change.
NubesSave · NubesSave – Cost Optimization
Cloud Cost Optimization That Survives the Next Invoice
NubesSave is our FinOps practice: we find the waste, rightsize what is oversized, plan commitments properly, and put reporting in place so savings do not quietly erode next quarter.
Overview
Intelligent, Automated, and Effortless Cloud Cost Optimization
Cloud bills grow for structural reasons: resources provisioned for a launch that never scaled back, environments nobody owns, storage tiers left on defaults, and commitments bought against last year's architecture. One-off cleanups fix the symptom for a quarter.
NubesSave does the cleanup and then addresses the structure — tagging and cost allocation, budget guardrails, anomaly alerts and a reporting cadence that makes spend visible to the engineers who create it. Typical engagements reduce run rate by 20–40% without touching performance targets.
Benefits
How NubesSave is different
Utilisation-based, not guesswork
Recommendations come from observed CPU, memory, IOPS and network data over a full business cycle, so we do not shrink an instance that is quiet on Tuesdays and critical at month end.
Commitments modelled, not gambled
We model coverage against forecast demand and planned architecture changes before you lock in one or three years, and we track utilisation afterwards.
Accountability that sticks
Tagging, allocation and showback put spend in front of the teams that generate it. Structural visibility is what stops the bill from creeping back.
Anomalies caught in days
Budget thresholds and anomaly alerts surface a runaway workload while it is a small problem, instead of at the end of the billing period.
How it works
How the optimisation cycle works
Audit
Analyse billing and utilisation data across accounts and providers, then produce a ranked list of savings opportunities with effort and risk against each.
Quick wins
Remove idle and orphaned resources, fix obvious oversizing, apply storage lifecycle rules and shut down non-production outside working hours.
Structural savings
Rightsize systematically, plan and purchase commitments, adopt Graviton or equivalent price-performance options, and tune architecture where it pays.
Govern
Implement tagging standards, budgets, anomaly alerts and a monthly review so savings are maintained rather than rediscovered next year.
Use cases
Typical triggers
Post-migration correction
Workloads were lifted and shifted at on-premises sizing. Rightsizing after a migration is usually the single largest available saving.
Commitment renewal
Savings Plans or Reserved Instances are expiring and the architecture has changed since they were bought, so last year's coverage no longer fits.
❓ FAQ
Cloud cost optimization FAQs
How much can we realistically save?
Most estates that have not been actively managed carry 20–40% of avoidable spend. The split is usually rightsizing, idle and orphaned resources, missing or badly structured commitments, and storage on the wrong tier. The audit quantifies your specific number before you commit to any work.
Will optimisation hurt performance or reliability?
It should not. We size against observed peak utilisation across a full business cycle rather than averages, we exclude workloads where headroom is a deliberate resilience choice, and changes go through your normal change process with rollback. Anything that trades performance for cost is flagged as an explicit decision for you to make.
What is FinOps?
FinOps is the practice of making cloud spend a shared, continuously managed responsibility between engineering, finance and the business — through cost visibility, allocation, forecasting and accountability. It is the difference between a one-off cleanup and a run rate that stays under control.
Should we buy Savings Plans or Reserved Instances?
It depends on how predictable and how flexible your workloads are. Compute Savings Plans give the broadest flexibility across instance families and regions. Reserved Instances can price better for stable, well-defined workloads, and some services only offer reservations. We model both against your forecast and typically recommend layered coverage of your stable baseline rather than your peak.
Do you work across multiple cloud providers?
Yes. We optimise AWS, Azure and Google Cloud, and produce consolidated reporting where you use more than one. The principles carry across; the levers and commitment mechanics differ per provider.
How do you charge for cost optimisation?
We work on a fixed-fee basis for the audit and implementation, and a monthly fee for ongoing FinOps governance. We do not take a percentage of savings, because that creates an incentive to favour big visible cuts over the right long-term architecture.
Other services
📬 Get in Touch
Want to know what you are wasting?
Share read-only billing access and we will come back with a ranked savings list, an estimated monthly reduction and the effort behind each item.
Location
Barcelona, Spain
Business Hours
Mon – Fri: 9:00 – 18:00 CET
Support
24/7 Cloud Support Available