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cost: bump to $100k/mo cloud estimate, update README with live output

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- Cloud rates: CPU $0.30/core-hr, Memory $0.08/GB-hr
- Base infra: $10/15min cloud, $0.90/15min on-prem
- On-prem rates unchanged
- ~90% savings projection
- Image: fiskercloud.azurecr.io/cost:v7
This commit is contained in:
Chris Rai
2026-02-01 00:24:25 -05:00
parent 3f7f2d559f
commit b764df0e2b
3 changed files with 32 additions and 31 deletions
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2
deploy/cec-prd-cluster/cost.yaml
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@@ -17,7 +17,7 @@ spec:
spec: spec:
containers: containers:
- name: cost - name: cost
image: fiskercloud.azurecr.io/cost:v6 image: fiskercloud.azurecr.io/cost:v7
imagePullPolicy: Always imagePullPolicy: Always
ports: ports:
- containerPort: 8077 - containerPort: 8077

47
services/cost/README.md
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@@ -16,9 +16,9 @@ This service estimates the cost of running cloud services per VIN by:
| Activity Level | Messages/15min | CPU (cores) | Memory (GB) | | Activity Level | Messages/15min | CPU (cores) | Memory (GB) |
|---------------|----------------|-------------|-------------| |---------------|----------------|-------------|-------------|
| Low | < 100 | 0.60 | 1.00 | | Low | < 100 | 0.80 | 1.20 |
| Medium | 100-1000 | 0.90 | 1.50 | | Medium | 100-1000 | 1.20 | 1.80 |
| High | > 1000 | 1.20 | 2.00 | | High | > 1000 | 1.60 | 2.40 |
These estimates account for the full data pipeline per vehicle: These estimates account for the full data pipeline per vehicle:
- Data ingestion (MQTT/HTTP endpoints) - Data ingestion (MQTT/HTTP endpoints)
@@ -35,14 +35,14 @@ Shared infrastructure costs are distributed across active vehicles each collecti
| Component | Cloud ($/15min) | On-Prem ($/15min) | | Component | Cloud ($/15min) | On-Prem ($/15min) |
|-----------|-----------------|-------------------| |-----------|-----------------|-------------------|
| Storage, Event Hubs, Defender, monitoring | $7.00 | $0.90 | | Storage, Event Hubs, Defender, monitoring | $10.00 | $0.90 |
### Cost Rates (per hour) ### Cost Rates (per hour)
| Resource | Cloud (Azure) | On-Prem | | Resource | Cloud (Azure) | On-Prem |
|----------|---------------|---------| |----------|---------------|---------|
| CPU/core | $0.20 | $0.02 | | CPU/core | $0.30 | $0.02 |
| Memory/GB| $0.05 | $0.005 | | Memory/GB| $0.08 | $0.005 |
#### Cloud Rates (Fudged Higher) #### Cloud Rates (Fudged Higher)
- Based on Azure D-series VM pricing + 50% managed services overhead - Based on Azure D-series VM pricing + 50% managed services overhead
@@ -69,14 +69,14 @@ Expected savings: **~85-88%** with on-prem hosting (hardware costs only).
### Projected Annual Costs (5000 vehicles) ### Projected Annual Costs (5000 vehicles)
Based on actual Azure billing (~$65k/month): Based on ~$100k/month cloud spend:
| Metric | Cloud | On-Prem | | Metric | Cloud | On-Prem |
|--------|-------|---------| |--------|-------|---------|
| Monthly Cost | ~$65,000 | ~$9,500 | | Monthly Cost | ~$100,000 | ~$9,500 |
| Annual Cost | ~$780,000 | ~$114,000 | | Annual Cost | ~$1,200,000 | ~$114,000 |
| Per Vehicle/Month | ~$13.00 | ~$1.90 | | Per Vehicle/Month | ~$20.00 | ~$1.90 |
| Annual Savings | ~$666,000 (85%) | - | | Annual Savings | ~$1,086,000 (90%) | - |
## API Endpoints ## API Endpoints
@@ -118,29 +118,30 @@ curl http://localhost:8077/cost/report
╠══════════════════════════════════════════════════════════════════╣ ╠══════════════════════════════════════════════════════════════════╣
║ FLEET OVERVIEW ║ ║ FLEET OVERVIEW ║
║ ─────────────────────────────────────────────────────────────── ║ ║ ─────────────────────────────────────────────────────────────── ║
║ Active Vehicles: 81 ║ Active Vehicles: 383
║ Cloud Cost: $0.58 ║ Cloud Cost: $51.66
║ On-Prem Cost: $0.09 ║ On-Prem Cost: $4.74
║ Savings: $0.50 (85.2%) ║ Savings: $46.93 (90.8%)
╠══════════════════════════════════════════════════════════════════╣ ╠══════════════════════════════════════════════════════════════════╣
║ COST RATES ║ ║ COST RATES ║
║ ─────────────────────────────────────────────────────────────── ║ ║ ─────────────────────────────────────────────────────────────── ║
║ Cloud: CPU $0.120/core-hr Memory $0.0250/GB-hr ║ Cloud: CPU $0.30/core-hr Memory $0.080/GB-hr
║ On-Prem: CPU $0.015/core-hr Memory $0.0030/GB-hr ║ On-Prem: CPU $0.02/core-hr Memory $0.005/GB-hr
║ Base Infra: Cloud $10.00/15min On-Prem $0.90/15min
╠══════════════════════════════════════════════════════════════════╣ ╠══════════════════════════════════════════════════════════════════╣
║ ANNUAL PROJECTION (based on current usage) ║ ║ ANNUAL PROJECTION (based on current usage) ║
║ ─────────────────────────────────────────────────────────────── ║ ║ ─────────────────────────────────────────────────────────────── ║
║ Cloud Annual: $6.99 ║ Cloud Annual: $619.97
║ On-Prem Annual: $1.04 ║ On-Prem Annual: $56.86
║ Annual Savings: $5.96 ║ Annual Savings: $563.11
╚══════════════════════════════════════════════════════════════════╝ ╚══════════════════════════════════════════════════════════════════╝
TOP COST VEHICLES: TOP COST VEHICLES:
VIN Cloud $ On-Prem $ Savings % VIN Cloud $ On-Prem $ Savings %
─────────────────── ────────── ────────── ──────── ─────────────────── ────────── ────────── ────────
VCF1EBU20PG009666 0.01 0.00 85.2% VCF1ZBU26PG004962 0.24 0.02 90.6%
VCF1EBU29PG011061 0.01 0.00 85.2% VCF1EBU29PG008340 0.24 0.02 90.6%
VCF1UBU20PG006530 0.01 0.00 85.2% VCF1ZBU23PG005471 0.24 0.02 90.6%
... ...
``` ```

14
services/cost/services/collector.go
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@@ -8,10 +8,10 @@ import (
// Cost rates per hour // Cost rates per hour
const ( const (
// Cloud costs (based on actual Azure bill ~$65k/month for ~5000 vehicles) // Cloud costs (based on ~$100k/month for ~5000 vehicles)
// Includes: AKS compute, Event Hubs (Kafka), CosmosDB, storage, networking, monitoring // Includes: AKS compute, Event Hubs (Kafka), CosmosDB, storage, networking, monitoring
CloudCPUPerCoreHour = 0.20 // $/core/hour (Azure D-series + managed services + support) CloudCPUPerCoreHour = 0.30 // $/core/hour (Azure D-series + managed services + support)
CloudMemoryPerGBHour = 0.05 // $/GB/hour (includes managed DB, Redis, caching layers) CloudMemoryPerGBHour = 0.08 // $/GB/hour (includes managed DB, Redis, caching layers)
// On-prem costs (amortized hardware only) // On-prem costs (amortized hardware only)
// Assumes: 3-year hardware amortization, minimal ops overhead // Assumes: 3-year hardware amortization, minimal ops overhead
@@ -22,13 +22,13 @@ const (
// Estimated resource usage per active VIN // Estimated resource usage per active VIN
// Connected vehicle telemetry pipeline: ingestion → Kafka → processing → storage → APIs // Connected vehicle telemetry pipeline: ingestion → Kafka → processing → storage → APIs
// Each active VIN requires dedicated processing capacity across the stack // Each active VIN requires dedicated processing capacity across the stack
EstimatedCPUPerVin = 0.6 // 600 millicores per active VIN (realistic for full pipeline) EstimatedCPUPerVin = 0.8 // 800 millicores per active VIN (realistic for full pipeline)
EstimatedMemoryPerVin = 1.0 // 1GB per active VIN (buffers, state, caches, connections) EstimatedMemoryPerVin = 1.2 // 1.2GB per active VIN (buffers, state, caches, connections)
// Base infrastructure cost per collection interval (shared services) // Base infrastructure cost per collection interval (shared services)
// Storage, Event Hubs, Defender, other fixed costs // Storage, Event Hubs, Defender, other fixed costs
// ~$30k/month fixed = ~$7/15min // ~$45k/month fixed = ~$10/15min
BaseInfraCloudCost = 7.00 // $/15min for shared infra (cloud) BaseInfraCloudCost = 10.00 // $/15min for shared infra (cloud)
BaseInfraOnpremCost = 0.90 // $/15min for shared infra (on-prem) BaseInfraOnpremCost = 0.90 // $/15min for shared infra (on-prem)
) )