Cost Intelligence & Protection

Real-time cost observability, anomaly detection, and budget guardrails

Cost Observability Metrics

Daily Burn

$4,850

Monthly Actual

$145,800

Cost Per User

$3.22

Per AI Call

$0.042

Monthly Cost Breakdown

Compute (AWS EC2/EKS)

$46,656

32%

+3%

Data Storage & DB

$34,992

24%

+5%

AI/LLM APIs

$26,244

18%

+12%

Data Transfer

$17,496

12%

-2%

Third-party Services

$11,664

8%

+1%

Observability & Logs

$8,748

6%

+8%

Cost Anomaly Detection Thresholds

Daily Burn Rate

Threshold: >$6,000

NOT TRIGGERED

$4,850

Compute Cost Spike

Threshold: >25% daily change

HEALTHY

+1.2%

AI/LLM Cost

Threshold: >$25K/day

HEALTHY

$1,890

Storage Growth

Threshold: >10GB/day

HEALTHY

+2.1 GB

Third-party Overage

Threshold: >20% quota

HEALTHY

8.3% quota

Automatic Cost Protection Triggers

Daily burn >$6K

Alert finance team + engineering review

HIGH

ARMED

Monthly forecast >$200K

Cost optimization task created

MEDIUM

ARMED

AI calls >1M/day

Auto-throttle non-critical AI

HIGH

ARMED

Storage >500GB

Trigger archival job

LOW

ARMED

Cost Impact at Scale

Current (45K users)

Daily

$4,850

Monthly

$145,800

Users

45,230

2x Traffic (90K users)

Daily

$8,940

Monthly

$268,200

Users

90,460

5x Traffic (225K users)

Daily

$21,850

Monthly

$655,500

Users

225,150

10x Traffic (450K users)

Daily

$43,700

Monthly

$1,311,000

Users

450,300

Vendor Exposure & Risk Classification

AWS

$25K/month reserved

HIGH RISK (7/10)

Contingency: Azure migration plan

OpenAI

$5K/month + overage

MEDIUM RISK (4/10)

Contingency: Claude fallback active

Stripe

2.2% + $0.30/txn

MEDIUM RISK (3/10)

Contingency: PayPal ready

SendGrid

$80/month fixed

LOW RISK (2/10)

Contingency: Brevo backup

Cost Intelligence Summary

  • ✅ Real-time cost tracking – $4,850/day with granular breakdown
  • ✅ Unit economics measured – $3.22/user, $0.0012/request, $0.042/AI call
  • ✅ 5 anomaly thresholds active – daily burn, compute spike, AI costs, storage, overage
  • ✅ 4 cost protection triggers – auto-throttle, task creation, alerts
  • ✅ Scaling cost modeled – 2x to 10x scenarios with forecast accuracy
  • ✅ Vendor risk classified – 4 vendors monitored with fallback strategies