Cloud Cost Guard
Every day without the guard is a profit leak.
We do not sell generic DevOps. We recover EBITDA by exposing the 30-40% of AI and cloud spend that disappears into idle compute, oversized inference, and architectural debt.
Active scan
Infrastructure_Alpha
Projected annual waste
~EUR 140k
Recovered profit potential: ~EUR 57k
Efficiency delta identified
~40%
Structural waste across idle compute and oversized inference
EBITDA impact
~+4 pp
Savings reframed as direct margin recovery
Risk level
Critical
Unbounded cost growth without automated guardrails
Series B SaaS · RAG pipeline on AWS · representative figures
Trusted by CTOs at AI and SaaS scale-ups
The language of money
Cloud metrics translated into boardroom impact.
No vanity dashboards, no generic infrastructure cleanups. Cloud Cost Guard frames every technical recommendation in terms of loss identification, profit recovery, and risk containment.
Loss identification
The waste tax
Identify idle resources, orphaned snapshots, and over-provisioned clusters that act as a recurring tax on your operating budget.
Profit recovery
EBITDA impact
Every euro saved in cloud spend is a euro added directly to your net profit. We translate infrastructure waste into boardroom language.
Risk mitigation
Predictable scaling
Eliminate surprise bills when demand accelerates. We implement guardrails so cost grows sub-linearly to revenue.
Infrastructure autopsy protocol
A cold and clinical audit of your cloud margin leakage.
The methodology is designed for CTO and CFO alignment. We trace waste to the exact service, workload, and scaling decision that creates unnecessary spend.
Exposure mapping
Total visibility in 72 hours. We connect billing APIs, normalize tags, and visualize leakage across your AWS, Azure, or GCP estate.
Debt audit
Every expense is categorized as growth fuel or structural debt. We focus on the highest-ROI removals that preserve system stability.
Recovery roadmap
A surgical execution plan with the exact CLI actions, Terraform changes, and governance controls required to recapture profit within 14 days.
Offer structure
Start with a diagnostic. Scale into a guardrail system.
The first offer is intentionally low-risk. It proves authority fast, quantifies the leakage, and sets up the case for a focused recovery engagement.
Infrastructure Autopsy
30 minutes
A low-risk diagnostic to surface EUR1k+ in waste quickly and prove whether a full recovery program is justified.
- Exposure mapping of billing tags and provisioned vs. utilized capacity
- Technical debt review for zombie resources and inefficient inference patterns
- 3-step recovery roadmap with immediate kill-switch actions
Cloud Cost Guard
EUR10k one-time or EUR3k/mo
Implementation of financial guardrails, architectural optimization, and automated governance for steady-state cost control.
- Save 10% immediately with kill-switch and cleanup actions
- Recover 20%+ in 30 days with rightsizing and orchestration fixes
- Prevent future leakage with alerts, policy, and executive reporting
The operator
Built by someone who has lived inside broken cloud billing.
Peter Iglaev — DevOps & Cloud engineer with 7+ years shipping infrastructure at Microsoft, Sberbank, F5, and Intapp. AWS, Azure, CI/CD pipelines, and microservice platforms at scale.
The same pattern everywhere: teams ship fast, cloud bills silently double, and nobody owns the cost. Cloud Cost Guard packages that operational experience into a repeatable protocol that recovers margin without slowing engineering down.
Evidence framework
A case study that speaks to CFO reality.
Situation. Barrier. Solution. Result. Technical work matters only when it is converted into a clear payback period and defensible bottom-line impact.
Situation
A client was scaling a retrieval-augmented generation system on AWS.
Barrier
Default scaling kept high-compute instances online 24/7 for a two-hour peak.
Solution
Queue-depth autoscaling and spot orchestration for non-critical nodes.
Result
Monthly spend fell from EUR8k to EUR3.2k. Net savings: EUR57.6k per year.
Annual savings
EUR 57.6k
Payback
6 weeks
Margin effect
High-confidence
Series B SaaS · RAG pipeline on AWS · representative engagement
How an engagement works
From first call to sustained savings in 4 weeks.
Every engagement follows the same disciplined protocol: diagnose, quantify, implement, guard. You see results before you sign a long-term contract.
Infrastructure autopsy
We connect read-only to your cloud billing, map every service and workload, and identify the largest leakage patterns — usually within the first session.
Recovery roadmap
You receive a prioritized list of savings actions ranked by ROI, an EBITDA-impact model, and a CTO/CFO-ready presentation.
Implementation support
We work alongside your team to execute the top-priority actions: rightsizing, reservation strategy, and workload scheduling.
Guardrail system
Automated alerts, budget policies, and a monthly cost-health scorecard that prevent savings from regressing.
FAQ
Questions executives ask before they commit.
How quickly do you find savings?
The initial autopsy is designed to identify meaningful waste within 30 minutes. Most implementations unlock immediate actions in the first week.
Which cloud platforms do you cover?
The methodology works across AWS, Azure, and GCP, with special attention to AI inference, orchestration, and high-variance workloads.
Do you replace our DevOps or FinOps team?
No. Cloud Cost Guard gives those teams a financial operating model, prioritized remediation steps, and the controls needed to sustain savings.
What does the recovery roadmap include?
It includes leakage categories, ROI-ranked actions, implementation guidance, and the governance controls required to prevent the same issues from returning.
Stop the hemorrhage today
The average AI scale-up loses thousands every month to inefficient orchestration.
If your cloud bill is already painful, the right next step is not a months-long transformation. It is a fast autopsy, a quantified diagnosis, and a disciplined recovery roadmap.
AWS, Azure, and GCP coverage
Executive-ready savings narrative
Diagnostic-first engagement model