Public-cloud bills don’t shrink by themselves. The combination of underutilized commitments, idle resources, egress charges, and hyperscaler-managed-service premiums means most cloud spend is 20-40% higher than it needs to be — before any architectural change. The right cloud cost optimization engagement names where the spend leaks, what’s worth fixing inside the hyperscaler, and what’s worth moving to a platform you control.
Pairs with: Ænix Public Cloud Platform if you sell cloud to customers; Private Cloud Platform if you run it for your own organisation. Free Cloud Repatriation TCO Worksheet →.
Who has a cloud cost problem worth fixing
The cloud-cost engagement fits when at least three of the following hold:
- Annual public-cloud bill in the seven figures — the math is worth doing.
- Spend is growing faster than revenue or the renewal trajectory is uncomfortable for finance.
- Sustained workloads at predictable utilization — not a pure burst-elastic profile.
- Multi-cloud or multi-account complexity — visibility is fragmented across accounts, regions, and teams.
- FinOps function exists but is reactive — the team flags overspend after it lands; they don’t shape architecture decisions before.
- A board-level cost decision is upcoming — budget review, repatriation question, hiring freeze, or M&A.
Match at least three and the engagement returns its cost in identified savings within the assessment itself, before any implementation work begins. With fewer signals, most of the value is in routine FinOps tooling, not a structured engagement.
Where cloud cost leaks concentrate
1. Underutilized commitments and reservations Reserved Instances, Savings Plans, Committed Use Discounts purchased to “lock in savings” routinely run 50-70% utilized. The discount evaporates against unused capacity. Most organizations cannot tell you their actual realization rate without a focused look.
2. Idle and over-sized resources EC2 / VM instances running 24/7 at 5-15% CPU. Storage volumes attached to terminated workloads. Load balancers protecting nothing. NAT gateways routing nothing. The accumulation is steady and largely invisible to monthly bill review.
3. Egress and cross-region traffic Cross-region replication that’s structural; cross-cloud traffic from accidental architecture decisions; SaaS observability vendors that pull data through cross-region endpoints. Egress is hyperscaler-margin-dense and almost never optimized at architecture time.
4. Hyperscaler managed-service premium Managed databases, managed Kubernetes, managed observability — all priced 2-4× over self-managed equivalents at scale. For some workloads worth it; for others, the premium is invisible until measured.
A structured cost engagement captures all four with quantified-per-account-and-team numbers.
When cloud cost optimization is not enough
The gain is structural, not configurational After 6 months of right-sizing, reservation tuning, and waste elimination, the bill is 20% lower. Then it stops dropping. Further savings require architectural change — repatriation, platform replacement, or workload redesign.
The cost crisis is a symptom of a platform crisis Cloud spend is growing because environment provisioning is broken: every team builds their own infrastructure, with no shared platform. The cost is real, but the fix is not in FinOps. It’s in platform engineering.
Hyperscaler economics genuinely don’t fit the workload Steady-state 24/7 inference, large-data analytics, regulated workloads at scale — some workloads are structurally better-suited to dedicated infrastructure. No amount of FinOps tooling closes the gap.
Vendor-lock-in is a cost, not a feature The “managed service premium” is bearable until the contract negotiation. Then the lack of a credible alternative makes the next renewal expensive. Optimization can flag this; only architectural change resolves it.
The honest engagement names which of these apply to your situation, and tells you whether the answer is FinOps tuning, platform engineering, or repatriation. See Cloud repatriation when the answer is the third.
How Ænix helps
The cost engagement runs as part of our Platform Readiness Assessment with the cost-and-cloud-spend workstream as primary focus. The 14- or 28-day engagement produces:
- Honest TCO model — current spend by account, service, team, with normalized comparison to alternative architectures.
- Cost-leak inventory — quantified, with named commitments, instance IDs, and ownership.
- Right-sizing recommendations — per-workload, with effort-vs-savings ranking.
- Architectural cost decisions — managed-service review, egress redesign, multi-region rationalization, repatriation candidates.
- 12-month spend trajectory — current → optimized → architecturally-changed, with caps and confidence ranges.
- FinOps owner / process plan — who runs the engine after we leave.
Delivered by Ænix engineers who have built and operated production platforms across the EU and Central Asia.
Why Ænix specifically
- No hyperscaler partnership. Big-4 cost-optimization engagements are usually sponsored or co-delivered by the hyperscaler whose spend is being optimized. The conflict of interest is real. We don’t have one.
- Engineers, not accountants. Cost optimization is a platform-engineering question dressed as a FinOps question. Right-sizing requires understanding how workloads use resources; architecture-level cost decisions require understanding the architecture. Our engineers do both.
- Open-source platform foundation. Cozystack is an open-source Kubernetes-native platform. When workloads benefit from running on a platform you control rather than rent, we can show you the math, the architecture, and the implementation path — under your governance.
What the engagement looks like
Day 0 is a free 30-minute discovery call that fixes the scope. Days 1-13 (or 1-27) run four parallel workstreams with the cost-and-cloud-spend workstream emphasized, on daily async updates and three sponsor checkpoints. Day 14 (or 28) is a 60-90 minute executive readout against the written report — TCO model, cost-leak inventory, right-sizing, architectural decisions, 12-month trajectory and FinOps plan. Full day-by-day methodology: Platform Readiness Assessment.
Cost engagements we’ve run
We’ve run cost-emphasized engagements for service providers, financial-services organizations, telecom operators, and AI/GPU platforms across the EU, DACH, and Central Asia. Identified savings have ranged from 15% (well-managed cloud estate, mostly tactical optimization) to 50%+ (mismanaged spend with strong repatriation case).
"Running Nuvolos on sovereign bare metal meant we needed hyperscaler-grade multi-tenancy without the hyperscaler. Cozystack delivered exactly that — isolated tenants, shared GPUs, KubeVirt for legacy workloads — and it's why we can promise our customers infrastructure control, not just a workspace."
Alexandru PopescuCEO, Nuvolos
Pricing and engagement scope
The cost-emphasized engagement runs as a Platform Readiness Assessment.
14-day (focused cost scope)
TCO modelling depth, cost-leak inventory, right-sizing recommendations, repatriation candidate identification, FinOps process plan. On request
28-day (full cost program)
Adds vendor shortlisting, PoC scoping for top repatriation candidates, multi-BU stakeholder interviews, complete Phase 2 implementation roadmap. On request
Fixed-price. Single invoice. Phase 2 implementation cost: assessment fee credited subject to scope.
We accept RFI / RFP through standard procurement channels in EU member states and Kazakhstan.
Start with a 30-minute discovery call
We confirm fit, identify where your spend actually leaks, and name the 14-day or 28-day variant.
Or read more:
- Cloud cost optimization strategies guide — practical depth
- Cloud repatriation — when optimization isn’t enough
- Data sovereignty — when sovereignty + cost align
- Platform Readiness Assessment — engagement methodology
- Cozystack — destination platform we typically recommend
Ænix is the company behind Cozystack — a CNCF Project, Kubernetes Certified Distribution, OpenSSF Best Practices. We run cloud-cost engagements and platform-engineering programs for service providers, banks, telecom, and AI operators across the EU, DACH, and Central Asia.