Firebase bill is usually $50, but I was surprised to see a $70k bill in one day
A Firebase user expecting a $50 monthly bill was briefly shown a one‑day charge of around $70,000 after an apparent misconfiguration led to writing roughly a petabyte of data to Google Cloud Storage. Commenters argue this exposes the risk of cloud platforms that provide only soft budget alerts rather than hard spending caps, debating whether technical constraints or profit incentives explain the absence of strict limits. Many suggest mitigations such as quotas, rate limiting, separate LLCs, alternative providers with true caps, or avoiding serverless-style metered services for hobby and small projects.
Firebase billing behavior and “surprise bills”
- Firebase budgets are alerts only; they do not stop usage. Several commenters only realized this from the docs after seeing this incident.
- The official “avoid surprise bills” guidance focuses on alerts and monitoring, not hard enforcement, which many feel does little to actually prevent surprises.
- Free tiers can be hard‑limited or throttled, but once on paid plans, enforcement becomes softer and more opaque.
Hard billing caps: desirability vs difficulty
- Many want an opt‑in hard cap: on hitting a limit, services would be throttled or shut off until manual re‑enablement.
- Supporters argue even an approximate cutoff (with some overrun) is far better than a 3–4‑order‑of‑magnitude surprise.
- Others argue robust caps are technically very hard across many services:
- Some usage (e.g., network egress) is known only with delay.
- Enforcing per‑request checks would add latency or require complex distributed coordination.
- “At rest” resources (storage, backups) raise questions about what to stop or delete.
- Quotas, max autoscaling, and per‑resource limits are proposed as partial mitigations.
Security, misuse, and Firebase complexity
- Firebase is easy to start but “hard to master.” Misunderstood Firestore rules and billing per document processed can cause huge costs.
- It’s easy to accidentally expose data or allow malicious writes, which can generate runaway usage.
- The thread attributes this incident to storing around a petabyte in GCS in a day, possibly via a poorly controlled implementation.
Risk management: LLCs, insurance, cards
- Some advocate using LLCs per app or for hosting contracts to contain liability; others note courts can pierce the veil for fraud, negligence, or “sham” entities.
- Ideas for insurance against cloud overages are floated but widely doubted as practical or fairly priced.
- Virtual cards with low limits help contain card charges but do not erase legal liability for the debt.
Alternatives and broader incentives
- Several prefer fixed‑price VPS or simpler clouds (traditional droplets, Lightsail‑like products, Fly.io with prepaid credits, Supabase, etc.) for predictable bills.
- Some see providers’ refusal to offer caps as primarily profit‑driven; others emphasize enterprise customers’ preference for never‑down services and argue refunds for edge cases are the de facto safety valve.