87f80d356a
- Per-VIN marginal: 3 millicores / 10MB (was 50mc/80MB) - Based on ~3000 VINs using ~10 cores / 30GB marginal on top of platform base - Total fleet now shows realistic: 87 cores / 569GB for 2463 VINs - Updated README with v13 output
181 lines
9.3 KiB
Markdown
181 lines
9.3 KiB
Markdown
# Cost Service
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Per-vehicle cost estimation service for capacity planning and cloud vs on-prem comparison.
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## Overview
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This service estimates the cost of running cloud services per VIN by:
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1. Querying vehicle activity from ClickHouse (message counts)
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2. Estimating resource usage based on activity level
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3. Applying cost rates for cloud vs on-prem hosting
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4. Storing aggregated cost data for reporting
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## Cost Estimation Methodology
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### Cost Model
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The cost model separates fixed platform costs from variable per-VIN costs:
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```
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Total Cost = Platform Base Cost + (Per-VIN Cost × Number of VINs) + Managed Services
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```
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Whether you have 100 vehicles or 100,000, you still need Kafka, databases, and gateway services running. That's your platform base cost. Then each additional vehicle adds a small marginal cost on top.
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### Platform Base Resources (Fixed)
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What it takes to run the cloud services platform (from migration plan v1.1):
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| Component | CPU (cores) | Memory (GB) | Notes |
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|-----------|-------------|-------------|-------|
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| VM 1-4: Core Services | 16 | 64 | Kafka, OTA, Valet, Auth/APIs |
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| VM 5: Analytics Primary | 32 | 256 | ClickHouse, Ditto, Beacon, Jetfire |
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| VM 6: Analytics Secondary | 32 | 256 | Optimus, Cargo, Vehicle Analytics |
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| **Total Platform Base** | **80** | **544** | Based on migration plan |
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### Per-VIN Resources (Marginal)
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Incremental resources needed for each additional connected vehicle:
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| Activity Level | Messages/15min | CPU (millicores) | Memory (MB) |
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|---------------|----------------|------------------|-------------|
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| Low | < 100 | 3 | 10 |
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| Medium | 100-1000 | 5 | 15 |
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| High | > 1000 | 6 | 20 |
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*Based on ~3000 VINs using ~10 cores / 30GB marginal on top of platform base*
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### Cost Rates
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| Resource | Cloud (Azure) | On-Prem/Bare Metal |
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|----------|---------------|-------------------|
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| CPU/core-hour | $0.35 | $0.015 |
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| Memory/GB-hour | $0.10 | $0.004 |
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| Managed Services/15min | $17.00 | $1.50 |
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#### Why On-Prem is ~90-95% Cheaper
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- **Platform base**: Same workload, but cloud charges ~20x more for managed services
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- **Per-VIN compute**: Cloud VMs cost ~20x more than amortized bare metal
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- **Managed services**: Event Hubs, CosmosDB, Azure DB for PostgreSQL have significant markup vs self-hosted
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### Savings Calculation
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```
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Platform Base Cost = (80 cores × rate + 544 GB × rate) × hours
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Per-VIN Cost = (0.003 cores × rate + 0.01 GB × rate) × hours × activity_multiplier
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Total Cost = Platform Base + (Per-VIN × VIN count) + Managed Services
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Cloud Cost = Total with cloud rates
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On-Prem Cost = Total with on-prem rates
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Savings = Cloud Cost - On-Prem Cost
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Savings % = (Savings / Cloud Cost) × 100
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```
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Expected savings: **~90-95%** with on-prem/bare metal hosting.
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### Projected Annual Costs
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Based on ~$1M/year Azure spend (migration plan v1.1):
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| Metric | Cloud | On-Prem |
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|--------|-------|---------|
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| Monthly Cost | ~$83,000 | ~$7,000 |
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| Annual Cost | ~$1,000,000 | ~$84,000 |
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| Annual Savings | ~$916,000 (92%) | - |
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## API Endpoints
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### GET /cost/vin/{vin}
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Cost summary for a specific VIN.
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### GET /cost/fleet
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Fleet-wide cost summary with top cost VINs.
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### GET /cost/summary?period=day|week|month
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High-level cost summary for a time period.
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### GET /cost/comparison
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Cloud vs on-prem cost comparison with projected annual savings.
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### GET /cost/report
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Plain text report for terminal viewing.
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## Accessing the Report
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The service is deployed internally on cec-prd-cluster-1 (no public ingress). To view the report:
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```bash
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# Quick one-liner
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kubectl --context cec-prd-cluster-1 run curl-test --image=curlimages/curl --rm -it --restart=Never -- curl -s http://cost.default.svc.cluster.local:8077/cost/report
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# Or port-forward and curl locally
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kubectl --context cec-prd-cluster-1 port-forward svc/cost 8077:8077 &
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curl http://localhost:8077/cost/report
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```
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## Example Report Output
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```
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╔══════════════════════════════════════════════════════════════════╗
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║ COST SERVICE REPORT ║
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╠══════════════════════════════════════════════════════════════════╣
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║ Period: 2026-01-05 to 2026-02-05
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╠══════════════════════════════════════════════════════════════════╣
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║ FLEET OVERVIEW ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Active Vehicles: 2463
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║ Cloud Cost: $695.52
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║ On-Prem Cost: $62.55
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║ Savings: $632.97 (91.0%)
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╠══════════════════════════════════════════════════════════════════╣
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║ RESOURCE USAGE MODEL ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Platform Base: 80 cores / 544 GB RAM (fixed)
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║ Per-VIN Marginal: 3 millicores / 10 MB RAM
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║ Total Fleet: 87.4 cores / 568.6 GB RAM
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╠══════════════════════════════════════════════════════════════════╣
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║ COST FORMULA ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ (Platform Base) + (Per-VIN × 2463 VINs) + Managed Services
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╠══════════════════════════════════════════════════════════════════╣
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║ COST RATES ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Cloud: CPU $0.35/core-hr Memory $0.100/GB-hr
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║ On-Prem: CPU $0.01/core-hr Memory $0.004/GB-hr
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║ Base Infra: Cloud $17.00/15min On-Prem $1.50/15min
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╠══════════════════════════════════════════════════════════════════╣
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║ ANNUAL PROJECTION (based on current usage) ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Cloud Annual: $8346.25
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║ On-Prem Annual: $750.61
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║ Annual Savings: $7595.65
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╚══════════════════════════════════════════════════════════════════╝
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TOP COST VEHICLES:
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VIN CPU (mc) RAM (MB) Cloud $ On-Prem $ Savings %
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─────────────────── ──────── ──────── ────────── ────────── ────────
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VCF1UBU21RG013084 94 149 1.20 0.12 90.4%
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VCF1EBU21RG012448 94 149 1.20 0.12 90.4%
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VCF1EBU22PG011385 94 149 1.20 0.12 90.4%
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VCF1EBU24PG011467 94 149 1.20 0.12 90.4%
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VCF1EBU29PG007298 94 149 1.20 0.12 90.4%
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...
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```
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*Note: Report generated 2026-02-05. Costs accumulate over time as the collector runs every 15 minutes.*
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## Configuration
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| Env Var | Description | Default |
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|---------|-------------|---------|
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| CLICKHOUSE_HOST | Local CH for storing cost data | localhost |
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| REMOTE_CLICKHOUSE_HOST | Dev cluster CH for VIN activity | - |
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| COLLECTOR_INTERVAL_MINUTES | How often to collect metrics | 15 |
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## Limitations
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- Resource estimates are approximations, not actual measurements
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- Cost rates are simplified and don't reflect all real-world factors
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- On-prem costs exclude significant operational overhead
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- Designed for business case illustration, not precise billing
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