# Budget / Quota Decision Fill this template to define a budget threshold or quota/rate-limit enforcement decision with operational consequences. ## Budget definition - **Scope:** _[fill: service, team, project, or platform — what this budget covers]_ - **Budget owner:** _[fill: name or role accountable for budget decisions]_ - **Period:** _[fill: monthly / quarterly / annual]_ - **Budget amount:** _[fill: $X per period]_ - **Cost attribution method:** _[fill: how costs are attributed to this scope — tags, account structure, manual allocation]_ ## Threshold configuration | Threshold | Type | Value | Trigger | Operational consequence | User-facing impact | |-----------|------|-------|---------|------------------------|---------------------| | _[fill: 70%]_ | Alert | _[fill: $Y]_ | _[fill: notification to budget owner + cost channel]_ | _[fill: review spending trend; no automated action]_ | _[fill: none]_ | | _[fill: 90%]_ | Soft cap | _[fill: $Z]_ | _[fill: throttle non-critical workloads; reduce provisioning]_ | _[fill: autoscaling ceiling lowered; batch jobs deferred]_ | _[fill: degraded performance for non-core functions]_ | | _[fill: 100%]_ | Hard cap | _[fill: $BUDGET]_ | _[fill: deny new resource provisioning; rate-limit ingress]_ | _[fill: requests above cap rejected with 429]_ | _[fill: service unavailable for requests exceeding cap]_ | ## Quota / rate-limit enforcement - **Enforcement mechanism:** _[fill: API gateway rate limiter, resource-quota admission controller, cloud budget action, or equivalent]_ - **Rate-limit scope:** _[fill: per-user, per-IP, per-API-key, per-service, or global]_ - **Rate-limit value:** _[fill: e.g., 1000 requests/second, 500 concurrent connections]_ - **Quota period:** _[fill: per-second, per-minute, per-day, per-month]_ - **Hard vs burst:** _[fill: is there a burst allowance above the steady rate? what multiplier and duration?]_ - **Response when exceeded:** _[fill: HTTP 429 with Retry-After header, queued with backpressure, or denied]_ - **Monitoring:** _[fill: how is enforcement measured? rate-limit hit counter, quota-usage dashboard, alert on near-exhaustion]_ ## Cost attribution - **Attribution method:** _[fill: resource tags, account/project structure, label-based allocation, or manual]_ - **Shared cost allocation:** _[fill: how shared infrastructure costs are divided — proportional to usage, fixed split, or other]_ - **Attribution review cadence:** _[fill: monthly / quarterly]_ ## Anomaly detection - **Anomaly trigger:** _[fill: e.g., spend increase >30% day-over-day, or >15% week-over-week]_ - **Notification:** _[fill: who is notified and through what channel]_ - **Response procedure:** _[fill: triage steps — is it legitimate demand, a bug, a misconfiguration, or an attack?]_ - **Escalation:** _[fill: when does this become an incident? who is the incident commander?]_ ## Assumptions - [ ] _[fill: current spending pattern is representative of normal operation]_ - [ ] _[fill: cost attribution is accurate and complete — state assumption or evidence]_ - [ ] _[fill: budget amount is adequate for projected demand — or state what happens if not]_ - [ ] _[fill: any other unverified assumption]_ ## Evidence sources | Source | What it provides | |--------|-----------------| | _[fill: cost dashboard / cloud bill]_ | _[fill: current and historical spend data]_ | | _[fill: capacity model]_ | _[fill: projected spend at demand forecast]_ | | _[fill: ...]_ | _[fill: ...]_ | ## Ownership - **Budget owner:** _[fill: name or role]_ - **Quota/rate-limit config owner:** _[fill: name or team that configures enforcement]_ - **Anomaly responder:** _[fill: name or on-call rotation]_ - **Approver:** _[fill: name of person who approved this budget/quota decision]_ ## Tradeoffs - _[fill: e.g., tighter quotas → earlier denial but more predictable cost]_ - _[fill: e.g., generous burst allowance → better user experience but cost-spike risk]_ - _[fill: e.g., hard cap at 100% budget → service may be unavailable; soft cap preferred if core functions can degrade gracefully]_