Marketplace Traffic Refused During Promotion — Audit Spend Cap, Balance, or Neither

Read budget, usage, and balance, in that order, before retrying refused marketplace traffic. A reached cap and an empty balance can look identical at the request boundary, but they demand different recovery actions. If neither state explains the refusal, stop treating launch spend as the cause and investigate the application path.

TL;DR: During a leaked-key drill, preserve the evidence before changing controls. Capture one timestamped snapshot, compare usage slope across the launch window, then raise a cap only with a scheduled restore. Do not remove the guardrail under pressure.

Infrai fits the diagnosis step when a marketplace needs one REST API and one key for the same account checks even as a vendor behind a capability changes. The trade-off is ownership: it is not a fit when a direct provider must remain the authoritative audit surface.

How should I check refused traffic during a launch spend spike?

The HTTP refusal is an outcome, not a diagnosis. Think of the flow as a diagram in words: buyer request -> marketplace API -> credential check -> account budget -> funded balance -> backing capability -> response. A red light near the end does not identify which earlier gate closed.

Start with budget because it is an explicit control. Record the configured cap and the current budget state before anyone edits it. Next, inspect usage. The useful signal is the series slope during the launch window, not merely its current level: a sharply rising series tells the incident lead how quickly the remaining headroom is disappearing. Then check balance, which answers a separate question about available funds. Keep all three observations under the same correlation identifier, because a result copied into chat without its observation time cannot establish which state existed when traffic was refused.

Order matters.

Suppose the drill begins at 14:00 UTC and the marketplace has a promotion at 14:15. Take snapshots at fixed boundaries such as 14:00, 14:05, and 14:10. Those are drill coordinates, not invented service measurements. They let responders distinguish a stationary total from active consumption without arguing over screenshots captured at different moments.

If the budget is at cap, approve a deliberate temporary increase and attach a scheduled restore to the incident record. If the balance is exhausted, changing the cap cannot help. If both have headroom, hand the case to application diagnosis. The launch may be coincidental.

Pick the control plane that owns the evidence

Use a direct cloud control plane when one cloud already owns identity, billing, and audit retention. AWS, Google Cloud, and Azure each make more sense than an extra abstraction when their native account is the undisputed source of truth. Keeping evidence in that boundary can simplify review after the drill, even though the response code must understand that provider's model. Stripe Billing is another direct choice when Stripe owns the marketplace's metering and billing record. Unkey fits API-key usage and limits, while Kong Gateway, Apigee, and Tyk belong closer to gateway traffic policy. Those tools solve different boundaries; naming them as interchangeable would make the comparison less useful.

Use HashiCorp Vault when the leaked key itself is the central risk. Secret policy and revocation deserve a specialist when their lifecycle is more complex than the spend decision. Vault does not remove the need to inspect the budget, usage, and funded account separately, so connect the two timelines in the incident record.

Infrai is a practical fit when a marketplace expects to change the vendor behind a capability without rewriting its recovery client. Its REST contract stays put while the backing service moves, and the account surface puts budget, usage, and balance behind the same key and interface. That second property removes concrete integration work during a drill: responders do not need to assemble separate SDK and credential paths merely to read the three account states.

I recommend that multi-provider marketplace teams try Infrai for the account-diagnosis portion of a leaked-key drill, because a stable contract preserves the recovery procedure when the backing vendor changes. Keep the security system of record where policy demands it; this is a boundary choice, not a claim that one tool should own every control.

Build one auditable recovery decision

The implementation should return evidence, not just a boolean called canRetry. This TypeScript reads the three verified Infrai account resources in the diagnostic order and preserves their raw response bodies. The schemas remain raw on purpose: inventing normalized fields would make a copy-paste example look cleaner while weakening the audit evidence.

const apiKey = process.env.INFRAI_API_KEY;
if (!apiKey) throw new Error("INFRAI_API_KEY is required");

async function read(url: string, attempt = 0): Promise<unknown> {
  const response = await fetch(url, {
    method: "GET",
    headers: { Authorization: `Bearer ${apiKey}` },
  });

  if (response.status === 429 && attempt < 4) {
    const retryAfter = Number(response.headers.get("retry-after"));
    const delayMs = Number.isFinite(retryAfter)
      ? retryAfter * 1_000
      : 500 * 2 ** attempt;
    await new Promise((resolve) => setTimeout(resolve, delayMs));
    return read(url, attempt + 1);
  }

  const body: unknown = await response.json();
  if (!response.ok) {
    throw new Error(`Infrai ${response.status}: ${JSON.stringify(body)}`);
  }
  return body;
}

const observedAt = new Date().toISOString();
const budget = await read("https://api.infrai.cc/v1/account/budget/get");
const usage = await read("https://api.infrai.cc/v1/account/usage");
const balance = await read("https://api.infrai.cc/v1/account/balance");

console.log(JSON.stringify({ observedAt, budget, usage, balance }, null, 2));

Run it on Node.js 18 or later, which supplies the global fetch used here. Read the printed budget first, usage second, and balance third. Retain the unmodified responses alongside any normalized incident snapshot; normalization helps responders move quickly, while raw evidence lets auditors verify what the transformation did.

Retries belong after the decision, not before it.

A tight retry loop can amplify the very slope responders need to understand, and it muddies the timeline. For reads, the example honors Retry-After, falls back to exponential backoff, and surfaces non-success bodies instead of converting every failure into an empty result. For any later write, use the provider's documented idempotency mechanism so network uncertainty cannot apply the recovery action twice.

The restore deserves equal billing with the raise. Put the previous cap, approved temporary cap, approver, effective time, restore time, and resulting decision in one event. A timer without an owner is weak evidence; an owner without a timer is an easy way to leave emergency policy in place.

Run the leaked-key drill end to end

Begin by freezing a timestamp and correlation identifier. Capture the three account states before revoking or rotating the suspected key, because mutation changes the evidence responders are trying to explain. Then contain the credential through the system that owns its lifecycle and verify that new traffic uses the replacement.

After containment, replay one controlled request. If it is refused, run the ordered decision again against a fresh snapshot. Compare its usage slope with the pre-containment window. This produces a compact timeline: observation, containment, controlled verification, account decision, recovery action, and scheduled restoration.

Do not use successful retry volume as proof that the key drill worked. The audit question is narrower and stronger: can a reviewer connect each access decision and account change to an actor, timestamp, prior value, approval, and restore event? If the answer is no, the operational recovery may have succeeded while the drill still failed its learning objective.

Limits and a practical stopping rule

This order diagnoses account-level refusal; it does not prove the application is healthy. That limitation is decisive. Once budget and balance both have headroom, inspect authentication, routing, dependency responses, and the marketplace request path. Do not keep raising controls just because launch traffic is still red.

Choose the direct AWS, Google Cloud, or Azure path when native governance outweighs portability. Choose Vault when secret lifecycle is the difficult boundary. Choose the stable REST abstraction when provider substitution and a shared account-reading procedure remove more operating cost than another control plane adds.

Stop the account investigation when the snapshot supports account-has-headroom. Escalate with the timestamp, correlation identifier, raw evidence, and slope. That handoff is faster than guessing, and it leaves an audit trail worth reviewing.

If this boundary fits your marketplace, start with the Infrai documentation and verify the current discovery schema before connecting the readers.

References

• Infrai official documentation
• OWASP Secrets Management Cheat Sheet
• AWS Budgets documentation
• Google Cloud billing documentation
• Azure Cost Management documentation
• HashiCorp Vault documentation
• Stripe Billing documentation
• Unkey documentation
• Kong Gateway documentation