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Chris Rai 3f7f2d559f cost: bump rates to match actual Azure billing (~$65k/mo)

- Increased CPU/memory rates and per-VIN resource estimates
- Added base infrastructure cost distribution across active VINs
- Updated README with projected costs for 5000 vehicles
- Image: fiskercloud.azurecr.io/cost:v6

2026-02-01 00:19:29 -05:00

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Cost Service

Per-vehicle cost estimation service for capacity planning and cloud vs on-prem comparison.

Overview

This service estimates the cost of running cloud services per VIN by:

Querying vehicle activity from ClickHouse (message counts)
Estimating resource usage based on activity level
Applying cost rates for cloud vs on-prem hosting
Storing aggregated cost data for reporting

Cost Estimation Methodology

Resource Estimates Per Active VIN

Activity Level	Messages/15min	CPU (cores)	Memory (GB)
Low	< 100	0.60	1.00
Medium	100-1000	0.90	1.50
High	> 1000	1.20	2.00

These estimates account for the full data pipeline per vehicle:

Data ingestion (MQTT/HTTP endpoints)
Kafka message processing
Stream processing and transformations
ClickHouse storage and queries
Redis caching
MongoDB document storage
API serving

Base Infrastructure Costs

Shared infrastructure costs are distributed across active vehicles each collection interval:

Component	Cloud ($/15min)	On-Prem ($/15min)
Storage, Event Hubs, Defender, monitoring	$7.00	$0.90

Cost Rates (per hour)

Resource	Cloud (Azure)	On-Prem
CPU/core	$0.20	$0.02
Memory/GB	$0.05	$0.005

Cloud Rates (Fudged Higher)

Based on Azure D-series VM pricing + 50% managed services overhead
Includes: AKS compute, managed Kafka (Event Hubs), CosmosDB, Azure Storage, networking, monitoring
Intentionally conservative (higher) to show true cloud TCO

On-Prem Rates (Fudged Lower)

Based on 3-year hardware amortization only
Assumes: owned hardware, minimal ops overhead
Intentionally optimistic (lower) to show on-prem savings
Does NOT include: datacenter costs, staff, power, cooling, network, maintenance

Savings Calculation

Per-VIN Cost = (CPU_cores × rate + Memory_GB × rate) × hours + (base_infra / active_vins)
Cloud Cost = Per-VIN costs summed across fleet
On-Prem Cost = Same formula with on-prem rates
Savings = Cloud Cost - On-Prem Cost
Savings % = (Savings / Cloud Cost) × 100

Expected savings: ~85-88% with on-prem hosting (hardware costs only).

Projected Annual Costs (5000 vehicles)

Based on actual Azure billing (~$65k/month):

Metric	Cloud	On-Prem
Monthly Cost	~$65,000	~$9,500
Annual Cost	~$780,000	~$114,000
Per Vehicle/Month	~$13.00	~$1.90
Annual Savings	~$666,000 (85%)	-

API Endpoints

GET /cost/vin/{vin}

Cost summary for a specific VIN.

GET /cost/fleet

Fleet-wide cost summary with top cost VINs.

GET /cost/summary?period=day|week|month

High-level cost summary for a time period.

GET /cost/comparison

Cloud vs on-prem cost comparison with projected annual savings.

GET /cost/report

Plain text report for terminal viewing.

Accessing the Report

The service is deployed internally on cec-prd-cluster-1 (no public ingress). To view the report:

# Quick one-liner
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

# Or port-forward and curl locally
kubectl --context cec-prd-cluster-1 port-forward svc/cost 8077:8077 &
curl http://localhost:8077/cost/report

Example Report Output

╔══════════════════════════════════════════════════════════════════╗
║                    COST SERVICE REPORT                           ║
╠══════════════════════════════════════════════════════════════════╣
║  Period: 2026-01-01 to 2026-02-01
╠══════════════════════════════════════════════════════════════════╣
║  FLEET OVERVIEW                                                  ║
║  ─────────────────────────────────────────────────────────────── ║
║  Active Vehicles:     81                                         
║  Cloud Cost:          $0.58                                      
║  On-Prem Cost:        $0.09                                      
║  Savings:             $0.50 (85.2%)                             
╠══════════════════════════════════════════════════════════════════╣
║  COST RATES                                                      ║
║  ─────────────────────────────────────────────────────────────── ║
║  Cloud:   CPU $0.120/core-hr   Memory $0.0250/GB-hr                 
║  On-Prem: CPU $0.015/core-hr   Memory $0.0030/GB-hr                 
╠══════════════════════════════════════════════════════════════════╣
║  ANNUAL PROJECTION (based on current usage)                      ║
║  ─────────────────────────────────────────────────────────────── ║
║  Cloud Annual:        $6.99                                      
║  On-Prem Annual:      $1.04                                      
║  Annual Savings:      $5.96                                      
╚══════════════════════════════════════════════════════════════════╝

TOP COST VEHICLES:
VIN                       Cloud $    On-Prem $  Savings %
───────────────────    ──────────   ──────────   ────────
VCF1EBU20PG009666            0.01         0.00      85.2%
VCF1EBU29PG011061            0.01         0.00      85.2%
VCF1UBU20PG006530            0.01         0.00      85.2%
...

Note: Costs shown are from a short collection period. Numbers accumulate over time as the collector runs every 15 minutes.

Configuration

Env Var	Description	Default
CLICKHOUSE_HOST	Local CH for storing cost data	localhost
REMOTE_CLICKHOUSE_HOST	Dev cluster CH for VIN activity	-
COLLECTOR_INTERVAL_MINUTES	How often to collect metrics	15

Limitations

Resource estimates are approximations, not actual measurements
Cost rates are simplified and don't reflect all real-world factors
On-prem costs exclude significant operational overhead
Designed for business case illustration, not precise billing

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