Cloud Infrastructure Cost Review

Template Overview

Cloud bills scale exponentially if left unmonitored: abandoned test environments, oversized database instances, uncompressed network egress, and unreserved compute instances quietly drain operational margins. The Cloud Cost Optimization Review provides engineering leads and FinOps practitioners with a structured auditing rubric to inspect monthly cloud expenditure, eliminate architectural waste, optimize reservations, and calculate cost-per-active-user metrics.

Markdown Template Structure

Copy the block below or click Download .md File to add this template directly to your personal vault:

---
title: "FinOps Audit: [Quarter / Month Financial Review]"
date: [YYYY-MM-DD]
finops_lead: "[[FinOps Lead / Infrastructure Architect]]"
current_monthly_spend: "$[Amount]"
monthly_savings_target: "$[Amount]"
primary_cloud_providers: ["AWS", "Cloudflare", "GCP"]
tags: [finops, cloud-costs, infrastructure, aws, cloudflare, cost-reduction]
---

# Cloud Infrastructure Cost Review — [Quarter / Month]

## 1. Executive Cost Summary & Macro Trends
- **Total Cloud Spend Last Month:** $[XX,XXX] (vs Budget: $[YY,YYY]).
- **Month-over-Month Delta:** +[X.X]% growth.
- **Unit Economic Metric:** Cloud Cost Per Monthly Active User (MAU) = **$[X.XX] / user**.
- **Core Cost Advantage:** Because Oyma processes all audio inference on user devices, our centralized AI GPU compute spend is exactly **$0.00**.

## 2. Spend Breakdown by Service Category
| Provider & Service Category | Current Monthly Cost | % of Total Bill | Waste Identified | Optimization Opportunity |
|---|---|---|---|---|
| AWS EC2 / Compute Instances | $4,200 | 42% | 4 idle staging instances | Downsize and implement scheduled auto-sleep |
| AWS RDS / Databases | $2,800 | 28% | Oversized multi-AZ replica in dev | Switch dev database to Aurora Serverless v2 |
| Cloudflare Workers & CDN | $120 | 1.2% | Zero waste | Highly optimized edge static cache |
| Data Transfer / Egress | $1,800 | 18% | Uncompressed logs traversing NAT gateway | Route VPC endpoints directly to S3 |
| S3 Object Storage & Backups | $1,080 | 10.8% | Old test snapshots retained indefinitely | Enforce 30-day lifecycle expiration policy |

## 3. High-Impact Cost Reduction Interventions
- **Intervention 1: VPC Endpoint Optimization (Saves $1,200/mo):**
  - NAT gateways charge $0.045/GB. Routing S3 traffic through free Gateway Endpoints cuts 90% of inter-region data transfer fees.
- **Intervention 2: Staging Environment Scheduler (Saves $850/mo):**
  - Auto-terminate staging Kubernetes worker nodes on nights and weekends (18:00 – 08:00).
- **Intervention 3: Compute Savings Plans Coverage (Saves $650/mo):**
  - Lock in 1-year No-Upfront Savings Plan for baseline production EC2 compute.

## 4. Architectural Shift: The Edge-First Margin Multiplier
- **Traditional Cloud AI Competitor:** $0.006 per minute audio transcription API cost. For a power user recording 40 hours/mo, cloud cost = **$14.40/user/mo**.
- **Oyma Edge-Native Model:** $0.00 compute cost. User's Apple Silicon Neural Engine runs the workload natively.
- **Gross Margin Implication:** 95%+ gross margins achievable at scale.

## 5. FinOps Action Plan & Jira Tracking
- [ ] Implement Terraform S3 lifecycle rules for backup bucket expirations.
- [ ] Deploy AWS EventBridge rule to shut down staging instances after hours.
- [ ] Purchase 1-year Compute Savings Plan before end of month.

Filled Real-World Example

Here is a realistic example demonstrating how this template captures actual deliberations:

---
title: "FinOps Audit: Q3 2026 Infrastructure Review"
date: 2026-10-09
finops_lead: "[[Elena Rostova]]"
current_monthly_spend: "$3,450"
monthly_savings_target: "$800"
primary_cloud_providers: ["Cloudflare", "AWS"]
tags: [finops, cloud-costs, infrastructure, aws, cloudflare, cost-reduction]
---

# Cloud Infrastructure Cost Review — Q3 2026

## 1. Executive Summary
- Current cloud footprint is lean: 884+ canonical pages served globally via Cloudflare Workers edge for under $50/mo.
- Total monthly spend across all accounts: $3,450.
- Identified $920/mo in savings by deleting obsolete database test snapshots and cleaning up inactive staging clusters.

## 2. Action Items
- Implemented automated 14-day lifecycle expiration on staging storage buckets.
- Cloud spend is well within targeted margin parameters.

When to Use and When to Avoid

When to Use

• Use during monthly or quarterly engineering financial reviews to keep cloud infrastructure budgets disciplined.
• Use when scaling user traffic to ensure unit costs scale sub-linearly.
• Use to identify and eliminate zombie cloud resources, idle testbeds, and uncompressed egress waste.

When to Avoid

• Avoid using during initial 48-hour prototype development sprints.
• Avoid using if total monthly cloud infrastructure expenditure is under $100.

On-Device AI Integration

Summarize your recording in Oyma with this local instruction:

Analyze the cloud cost optimization review:
1. Calculate the total annual savings unlocked by the proposed interventions.
2. Evaluate unit economics (cost per MAU) and model how costs will scale if traffic increases by 5x.
3. Formulate three high-priority Terraform adjustments to enforce the cost policies programmatically.
Output in structured Markdown.

Your data remains securely on your Mac with zero cloud exposure.