๐ฐ Current Cost Structure
Monthly Breakdown (March 2026)
| Resource | Tier | Monthly Cost | % of Total | Purpose |
|---|---|---|---|---|
| App Service | P1v2 | $11.53 | 35% | Application hosting |
| Azure SQL | S2 (250GB) | $7.50 | 23% | Primary database |
| App Insights | Basic | $3.00 | 9% | APM and logging |
| Log Analytics | 5GB/day | $2.17 | 7% | Centralized logs |
| Key Vault | Standard | $0.03 | <1% | Secrets management |
| Container Registry | Basic | $0.17 | <1% | Image storage |
| Redis Cache | C0 (250MB) | $4.60 | 14% | Session & query cache |
| Blob Storage | Hot tier | $0.84 | 3% | File uploads |
| Data Transfer | $0.35 | 1% | Network egress | |
| TOTAL | $33.19 | 100% |
Annual Cost: ~$398/year
Savings vs Baseline: 77% ($1,302/year saved)
๐ Cost Optimization Achieved
Before vs After
| Metric | Before | After | Savings |
|---|---|---|---|
| Monthly Cost | ~$145 | ~$33 | 77% |
| Annual Cost | $1,740 | $398 | $1,342 |
| SQL Optimization | Orphaned servers | Consolidated | $360/year |
| Resource Utilization | 40% | 85% | Efficiency |
Key Optimizations Applied
- โ Deleted Orphaned SQL Server - Saved $360/year
- โ Enabled Always-On - Eliminated cold starts
- โ Right-sized App Service - P1v2 vs P2v2 (saved $73/month)
- โ Consolidated monitoring - Single App Insights instance
- โ Optimized cache size - C0 Redis (250MB sufficient)
๐ Scaling Projections
Current Capacity
| Resource | Current | Max Capacity | Headroom |
|---|---|---|---|
| App Service | P1v2 (1 instance) | 10 instances | 10x |
| Azure SQL | S2 (50 DTU, 250GB) | P2 (250 DTU) | 5x |
| Redis Cache | C0 (250MB) | C6 (53GB) | 200x |
| Storage | 12GB | 250GB | 20x |
Scaling Scenarios
Scenario 1: 2x Users (Current โ 2x)
Changes:
- App Service: 1 โ 2 instances (+$11.53)
- SQL: S2 โ S2 (sufficient)
- Redis: C0 โ C0 (sufficient)
- New Total: ~$45/month (+36%)
Threshold Triggers:
- CPU >70% for 5 min
- Response time >500ms p95
- Memory >80%
Scenario 2: 10x Users (Current โ 10x)
Changes:
- App Service: P1v2 ร 3 instances โ P2v2 ร 3 (+$146)
- SQL: S2 โ P1 (125 DTU) (+$187)
- Redis: C0 โ C1 (1GB) (+$12)
- Log Analytics: 5GB โ 25GB/day (+$87)
- New Total: ~$465/month (+1,300%)
Scenario 3: Enterprise (100x Users)
Changes:
- App Service: P3v2 ร 10 instances (+$1,460)
- SQL: P2 ร 2 (read replicas) (+$735)
- Redis: C3 (13GB) (+$98)
- CDN: Standard (+$17)
- Front Door: Standard (+$25)
- New Total: ~$2,400/month (+7,100%)
๐จ Scaling Thresholds & Monitoring
Critical Metrics to Watch
| Metric | Warning | Critical | Action |
|---|---|---|---|
| App Service CPU | >70% | >85% | Scale out |
| App Service Memory | >75% | >90% | Scale up |
| SQL DTU | >70% | >85% | Upgrade tier |
| Redis Memory | >70% | >85% | Upgrade tier |
| Response Time | >300ms | >500ms | Scale out |
Auto-Scale Configuration
App Service Auto-Scale Rule:
{
"metric_trigger": {
"metric_name": "CpuPercentage",
"time_window": "PT10M",
"operator": "GreaterThan",
"threshold": 70
},
"scale_action": {
"direction": "Increase",
"value": 1,
"cooldown": "PT10M"
}
}
๐ Integration Cost Analysis
Adding New Integrations
| Integration | Monthly Cost | Complexity | Value |
|---|---|---|---|
| Azure DevOps | $6/user | Medium | CI/CD visibility |
| Jira Cloud | $7.75/user | Low | Ticket tracking |
| Slack Enterprise | $15/user | Low | Notifications |
| ServiceNow | $100/user | High | ITSM integration |
| Datadog | $15/host | Medium | Enhanced monitoring |
| PagerDuty | $29/user | Low | Incident management |
Cost per Integration (10 users)
| Integration | Cost/Month | Annual |
|---|---|---|
| Azure DevOps | $60 | $720 |
| Jira Cloud | $78 | $936 |
| Slack | $150 | $1,800 |
| PagerDuty | $290 | $3,480 |
| Total (4 tools) | $578 | $6,936 |
๐ก Cost per User Analysis
Current State
| Metric | Value |
|---|---|
| Total Users | ~50 (across all tenants) |
| Active Users/Month | ~30 |
| Monthly Cost | $33.19 |
| Cost per User | $0.66/user/month |
| Cost per Active User | $1.11/active user/month |
Scaling Projections
| Users | Monthly Cost | Cost/User |
|---|---|---|
| 50 | $33 | $0.66 |
| 100 | $45 | $0.45 |
| 500 | $120 | $0.24 |
| 1,000 | $220 | $0.22 |
| 5,000 | $650 | $0.13 |
| 10,000 | $1,200 | $0.12 |
Economies of Scale: Cost per user drops as user base grows.
๐ ROI Calculator
Current Investment vs Value
| Investment | Annual Cost | Value Delivered |
|---|---|---|
| Infrastructure | $398 | Platform operations |
| Development | ~$50K | Feature development |
| Total | ~$50.4K | |
| Savings Generated | $1,342/year | Cost optimization |
| Efficiency Gains | ~200 hours/month | Automation |
ROI Summary:
- Cost optimization: 2.7% ROI on infrastructure
- Time savings: ~$120K/year (at $50/hour)
- Total ROI: ~240% annually
๐ฎ Future Cost Projections
12-Month Forecast
| Month | Users | Monthly Cost | Notes |
|---|---|---|---|
| Current | 50 | $33 | Baseline |
| Month 3 | 75 | $38 | Growth phase |
| Month 6 | 100 | $45 | Scale out |
| Month 9 | 150 | $58 | SQL upgrade |
| Month 12 | 200 | $72 | Full optimization |
Annual Projection: ~$700-$900 (growth scenario)
๐ Cost Management Best Practices
- Tag Everything - Environment, Department, Project tags
- Budget Alerts - Set at 50%, 80%, and 100% of monthly budget
- Regular Reviews - Weekly trends, monthly deep dives
- Reserved Capacity - 1-year = 20-30% savings, 3-year = 40-50%
- Right-Size Continuously - Review monthly, delete orphaned resources
Cost Analysis v1.8.1 | Optimized for Scale | 77% Savings