166 lines
7.5 KiB
Markdown
166 lines
7.5 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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### Resource Estimates Per Active VIN
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| Activity Level | Messages/15min | CPU (cores) | Memory (GB) |
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|---------------|----------------|-------------|-------------|
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| Low | < 100 | 0.80 | 1.20 |
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| Medium | 100-1000 | 1.20 | 1.80 |
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| High | > 1000 | 1.60 | 2.40 |
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These estimates account for the full data pipeline per vehicle:
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- Data ingestion (MQTT/HTTP endpoints)
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- Kafka message processing
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- Stream processing and transformations
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- ClickHouse storage and queries
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- Redis caching
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- MongoDB document storage
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- API serving
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### Base Infrastructure Costs
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Shared infrastructure costs are distributed across active vehicles each collection interval:
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| Component | Cloud ($/15min) | On-Prem ($/15min) |
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|-----------|-----------------|-------------------|
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| Storage, Event Hubs, Defender, monitoring | $10.00 | $0.90 |
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### Cost Rates (per hour)
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| Resource | Cloud (Azure) | On-Prem |
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|----------|---------------|---------|
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| CPU/core | $0.30 | $0.02 |
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| Memory/GB| $0.08 | $0.005 |
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#### Cloud Rates (Fudged Higher)
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- Based on Azure D-series VM pricing + 50% managed services overhead
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- Includes: AKS compute, managed Kafka (Event Hubs), CosmosDB, Azure Storage, networking, monitoring
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- Intentionally conservative (higher) to show true cloud TCO
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#### On-Prem Rates (Fudged Lower)
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- Based on 3-year hardware amortization only
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- Assumes: owned hardware, minimal ops overhead
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- Intentionally optimistic (lower) to show on-prem savings
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- Does NOT include: datacenter costs, staff, power, cooling, network, maintenance
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### Savings Calculation
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```
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Per-VIN Cost = (CPU_cores × rate + Memory_GB × rate) × hours + (base_infra / active_vins)
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Cloud Cost = Per-VIN costs summed across fleet
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On-Prem Cost = Same formula 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: **~85-88%** with on-prem hosting (hardware costs only).
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### Projected Annual Costs (5000 vehicles)
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Based on ~$100k/month cloud spend:
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| Metric | Cloud | On-Prem |
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|--------|-------|---------|
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| Monthly Cost | ~$100,000 | ~$9,500 |
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| Annual Cost | ~$1,200,000 | ~$114,000 |
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| Per Vehicle/Month | ~$20.00 | ~$1.90 |
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| Annual Savings | ~$1,086,000 (90%) | - |
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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: 2026-01-03 to 2026-02-03
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╠══════════════════════════════════════════════════════════════════╣
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║ FLEET OVERVIEW ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Active Vehicles: 3143
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║ Cloud Cost: $5658.12
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║ On-Prem Cost: $389.98
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║ Savings: $5268.15 (93.1%)
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╠══════════════════════════════════════════════════════════════════╣
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║ COST RATES ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Cloud: CPU $0.30/core-hr Memory $0.080/GB-hr
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║ On-Prem: CPU $0.02/core-hr Memory $0.005/GB-hr
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║ Base Infra: Cloud $10.00/15min On-Prem $0.90/15min
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╠══════════════════════════════════════════════════════════════════╣
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║ ANNUAL PROJECTION (based on current usage) ║
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║ ─────────────────────────────────────────────────────────────── ║
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║ Cloud Annual: $67897.44
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║ On-Prem Annual: $4679.70
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║ Annual Savings: $63217.74
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╚══════════════════════════════════════════════════════════════════╝
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TOP COST VEHICLES:
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VIN Cloud $ On-Prem $ Savings %
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─────────────────── ────────── ────────── ────────
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VCF1EBU27PG008191 6.84 0.48 93.0%
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VCF1ZBU28PG005207 6.84 0.48 93.0%
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VCF1ZBU29PG005488 6.84 0.48 93.0%
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VCF1ZBU26PG004962 6.76 0.48 93.0%
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VCF1EBU20PG008145 6.75 0.47 93.0%
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...
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```
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*Note: Report generated 2026-02-03. 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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