# 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: 1. Querying vehicle activity from ClickHouse (message counts) 2. Estimating resource usage based on activity level 3. Applying cost rates for cloud vs on-prem hosting 4. Storing aggregated cost data for reporting ## Cost Estimation Methodology ### Resource Estimates Per Active VIN | Activity Level | Messages/15min | CPU (cores) | Memory (GB) | |---------------|----------------|-------------|-------------| | Low | < 100 | 0.15 | 0.25 | | Medium | 100-1000 | 0.225 | 0.375 | | High | > 1000 | 0.30 | 0.50 | 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 ### Cost Rates (per hour) | Resource | Cloud (Azure) | On-Prem | |----------|---------------|---------| | CPU/core | $0.12 | $0.015 | | Memory/GB| $0.025 | $0.003 | #### 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 ``` Cloud Cost = (CPU_cores × $0.12 + Memory_GB × $0.025) × hours On-Prem Cost = (CPU_cores × $0.015 + Memory_GB × $0.003) × hours Savings = Cloud Cost - On-Prem Cost Savings % = (Savings / Cloud Cost) × 100 ``` Expected savings: **~85-88%** with on-prem hosting (hardware costs only). ## 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: ```bash # 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