Managing Costs
1. Understanding Pricing Model
| Plan | Detail |
|---|---|
| Starter (free) | 1 serverless index, limited storage |
| Standard | Pay-as-you-go usage |
| Enterprise | SLA, SSO, audit, IP allowlist |
2. Estimating Serverless Costs
Example: Cost Estimate
# Rough monthly estimate (rates from your plan)
storage_gb = 5
storage_cost = storage_gb * STORAGE_RATE_GB_MONTH
read_units = 100_000_000 # 100M queries
read_cost = read_units / 1e6 * READ_RATE_PER_M
write_units = 10_000_000
write_cost = write_units / 1e6 * WRITE_RATE_PER_M
print(storage_cost + read_cost + write_cost)3. Estimating Pod-Based Costs
Example: Pod Cost
# pods * replicas * hours * hourly_rate
monthly = 1 * 2 * 730 * POD_HOURLY_RATE # ~$X
print(monthly)4. Optimizing Storage Costs
| Lever | Effect |
|---|---|
| Lower dimensions | 1024 vs 1536 saves ~33% storage |
| Drop stale vectors | TTL deletes |
| Compact metadata | Short keys, IDs instead of text |
5. Optimizing Query Costs
| Lever | Effect |
|---|---|
| Cache results | Cuts repeat RUs |
| Lower top_k | Slightly fewer RUs |
| Tenant routing via namespace | Smaller scan, fewer RUs |
6. Reducing Pod Costs
| Lever | Effect |
|---|---|
| Right-size pods | x1 vs x8 — only what's needed |
| Scale replicas to load | Lower off-peak |
| Move cold tenants to serverless | Pay-per-use |
7. Implementing Cost Monitoring
| Source | Detail |
|---|---|
| Pinecone usage dashboard | RU/WU/storage charts |
| Billing exports | CSV → BI tool |
| App-side metrics | Per-tenant attribution |
8. Setting Budget Alerts
| Alert | Trigger |
|---|---|
| 50% monthly budget | Early heads-up |
| 80% budget | Investigate growth |
| 100% budget | Page on-call |
9. Choosing Cost-Effective Index Type
| Workload | Cheaper Option |
|---|---|
| Spiky / low avg QPS | Serverless |
| Sustained high QPS | Pod |
| Very large + low QPS | Pod (s1) or serverless |
10. Managing Multiple Indexes Efficiently
| Pattern | Detail |
|---|---|
| Consolidate via namespaces | One index, many tenants |
| Tier by access frequency | Hot/warm/cold split |
| Drop unused | Audit monthly |
11. Forecasting Future Costs
Example: Linear Forecast
# project storage 6 months out from growth rate
growth_per_month = 0.5 # GB
forecast = current_gb + growth_per_month * 6
print(forecast * STORAGE_RATE_GB_MONTH)12. Reviewing Billing Reports
| Cadence | Review |
|---|---|
| Weekly | Anomalies vs prior week |
| Monthly | Breakdown by index/namespace |
| Quarterly | Plan vs actual; commit discounts |