Optimise your cloud cost without sacrificing performance or security

Cloud spend spirals through unused resources, oversized instances, missed discounts, and — for Nigerian businesses — an exchange rate that moves against you. None of this is inevitable. It’s an engineering problem, and engineering problems can be worked.

Benefits

Want more cloud, less cost?

Cost optimisation is the discipline of paying only for what earns its place: identifying ill-managed resources, reserving capacity for discounts, eliminating waste, and rightsizing compute to real demand. Done well, the benefits compound.

Direct savings

Waste removed from the bill frees budget for work that moves the business — product, people, or simply margin.

Accurate forecasting

Spend becomes predictable enough to budget against — in dollars and in naira, with FX exposure modelled rather than ignored.

Improved efficiency

Rightsized, well-packed workloads run faster and fail less. Efficiency and cost discipline are the same work viewed twice.

Visibility and control

Tagging, budgets, and showback make every line of spend traceable to an owner. Surprises stop being a monthly event.

Better governance

Cost policy becomes part of how infrastructure is provisioned, not an argument that happens after the invoice arrives.

Scalability without dread

Growth stops meaning proportional bill growth. You scale usage up and down with the business, not with inertia.

Why costs spiral

The case for continuous optimisation

It would be convenient if a cloud environment, once set up, stayed efficient. It doesn’t. Nothing about the cloud is static — which is why one-off cleanups decay and continuous optimisation holds.

Growth

As the business grows, usage grows with it. Without cost controls built into how resources get provisioned, spend compounds quietly until someone notices the trend line.

Requirements change

The workloads you sized last year are not the workloads you run today. Resources provisioned for a peak that never returned keep billing as if it might.

The stack evolves

Legacy components linger past their usefulness, and new services get adopted without decommissioning what they replaced. Both ends of that overlap appear on the invoice.

Exchange rates move

The uniquely Nigerian multiplier: a bill priced in dollars against revenue earned in naira can grow substantially without a single new resource being deployed. Cost models that ignore FX are fiction.

Our approach

Cost control is a cycle, not a checklist

Phase 01

Assess

Full audit of usage and billing history: idle resources, sizing against real utilisation, storage tiers, licensing, and commitment coverage. Findings delivered in writing with the effort each fix requires.

Phase 02

Optimise

Engineering measures first: eliminate, rightsize, autoscale, re-tier. These savings need no long-term commitment and typically fund the rest of the programme.

Phase 03

Commit

With usage cleaned and stable, commit deliberately: Savings Plans and Reserved Instances on AWS, Reservations and Hybrid Benefit on Azure — modelled against actual usage history, never guessed.

Repeat

Review monthly

Budgets, anomaly alerts, and a monthly review keep commitments matched to reality as the business changes. This is where the durable results live.

Strategies

The levers we work, workload by workload

01Idle resource elimination

Instances, volumes, snapshots, and load balancers that nothing uses any more — identified from utilisation data and either decommissioned or scheduled to shut down out of hours. The least glamorous saving and reliably the first one.

02Rightsizing

Matching instance type and size to what the workload actually consumes, not what someone provisioned to be safe. Utilisation history tells the truth; we act on it, with performance headroom agreed rather than assumed.

03Autoscaling

Capacity that follows demand instead of sitting at peak permanently. Particularly effective for variable workloads — customer-facing platforms, batch processing, anything with a quiet season.

04Commitment discounts

Savings Plans, Reserved Instances, Azure Reservations, and Hybrid Benefit can cut compute costs substantially — or lock you into the wrong spend shape if applied carelessly. We model coverage against twelve months of usage before committing a single dollar.

05Storage optimisation

Data nobody has read in a year does not belong on premium storage. Lifecycle policies, tier moves, compression, and honest deletion of what no policy requires you to keep.

06Workload packing

Consolidating under-utilised workloads onto shared capacity — fewer, fuller instances instead of many idle ones. Where containers are in play, cluster bin-packing does this systematically.

07Rearchitecting

The deepest lever: moving components to serverless or managed services where the economics justify it. We recommend this only when the numbers survive scrutiny — rearchitecture for its own sake is how consultancies bill hours.

08Billing channel review

How you buy matters as much as what you use: pay-as-you-go, CSP, enterprise agreement, or reseller each carry different levers. Sometimes the billing channel itself is costing you money — we tell you when it is.

FAQ

Got questions? We have answers.

How much could we save?

Unknowable until we’ve audited your usage, and we won’t invent a percentage to win the work. Industry experience says most unoptimised estates carry meaningful waste; whether yours does, and how much, is precisely what the audit establishes — in writing, before you commit to anything further.

Will optimisation hurt performance or security?

Not if it’s done properly. Rightsizing is based on measured utilisation with agreed headroom, and changes go through the same change management as any other infrastructure work. Security spending is reviewed for waste like everything else, but controls are never traded away for savings.

Is this a one-off project or an ongoing service?

Either. The audit stands alone. But cost discipline decays without ownership — commitments drift out of alignment, new waste accumulates — so most clients pair the audit with a monthly optimisation practice.

Can you work directly with our finance team?

We prefer it. FinOps fails when it stays an engineering conversation. Showback reports, budgets, and forecasts are built to be read by finance, and we’ll sit in the room with them.

We buy Azure through a reseller. Does that change anything?

It changes the mechanics, not the mission. The optimisation levers vary by billing channel, and we work within whichever you have — including telling you if the channel itself is the problem.

How do you handle the naira/dollar problem?

We treat FX exposure as a first-class input: forecasts are modelled in both currencies, commitment terms are chosen with devaluation scenarios in view, and budget alerts are set against naira thresholds where that’s what the business plans in.

Get in touch

Bring us your bill

The fastest way to start: share a recent invoice or cost export. We’ll tell you what questions it raises and what an audit would examine — before you spend anything.

hello@navalti.com
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