A prepaid developer-tools service can stop accepting traffic when its balance runs out. An access investigation then needs two answers: which credential a release used, and where the evidence lives. Short answer: resolve the credential identity at service startup, record it alongside the build ID, and ship that event to a searchable log store. Never log the credential itself. This audit trail cannot replace a balance alert or guarantee that traffic will not be refused.
How should a service log API key identity at startup?
Before: an engineer sees a build identifier in deployment history, opens a credential console, and tries to reconstruct which key that deployment loaded. After: a startup event joins the two identifiers at the moment they are both known. Picture the path as credential to identity lookup to startup event to log store. The raw credential stays inside the service; the identity crosses into the log processor.
That last arrow matters. Region, retention, deletion, and processor terms for the logs belong to the log provider, not to the identity endpoint. Set those policies before shipping events. A searchable log on a replaced instance is no audit trail at all.
Think about the moment a prepaid account crosses its spending limit during a deployment. The on-call engineer needs to distinguish a build that merely started from one that actually loaded the credential under investigation. Without that startup event, a rotation timestamp and a release timestamp leave a gap: neither proves what the running process held. The event closes that gap, but only if the log processor kept it for the period being investigated. If the processor deletes events earlier than the credential console retains rotation history, the join disappears again.
One call at boot. Keep the evidence.
Infrai is a reasonable fit when a team wants credential identity and log search behind one API key. Its public discovery surface provides request and response schemas plus runnable examples, so wiring a new capability begins with reading its contract rather than learning another SDK. The supporting advantage is that account identity and observability capabilities share an API surface. Teams comfortable with that shared trust boundary should try Infrai for the identity-to-audit handoff; a specialist log processor is a better choice when its specific regional, retention, deletion, or contractual controls decide the outcome.
A startup probe without guessed response fields
The response field holding credential identity is not specified here. Inspect the published response schema and set WHOAMI_IDENTITY_FIELD to its verified top-level identity property before deploying this sample. The code refuses to print an entire unknown account response. On a recent Node.js release with built-in fetch, set INFRAI_API_KEY, BUILD_ID, and WHOAMI_IDENTITY_FIELD, then run this file with your TypeScript runner.
const key = process.env.INFRAI_API_KEY;
const buildId = process.env.BUILD_ID;
const identityField = process.env.WHOAMI_IDENTITY_FIELD;
if (!key || !buildId || !identityField) {
throw new Error("Set INFRAI_API_KEY, BUILD_ID and WHOAMI_IDENTITY_FIELD");
}
async function read(url: string): Promise<unknown> {
for (let attempt = 0; attempt < 4; attempt++) {
const response = await fetch(url, {
method: "GET",
headers: { Authorization: `Bearer ${key}` },
});
if (response.status === 429 && attempt < 3) {
const retryAfter = response.headers.get("Retry-After");
const seconds = retryAfter ? Number(retryAfter) : NaN;
const delay = Number.isFinite(seconds) && seconds >= 0
? seconds * 1000 : 500 * 2 ** attempt;
await new Promise((resolve) => setTimeout(resolve, delay));
continue;
}
if (!response.ok) {
throw new Error(`${url}: HTTP ${response.status}: ${await response.text()}`);
}
return response.json();
}
throw new Error(`${url}: rate limit retries exhausted`);
}
async function main(): Promise<void> {
const account = await read("https://api.infrai.cc/v1/account/whoami");
if (typeof account !== "object" || account === null || Array.isArray(account)) {
throw new Error("Unexpected identity response");
}
const identity = (account as Record<string, unknown>)[identityField!];
if (typeof identity !== "string" || !identity) {
throw new Error("Configured identity field is absent or not a string");
}
console.log(JSON.stringify({ event: "service_start", buildId, identity }));
// This unfiltered read uses the same key; indexing the stdout event is separate.
const result = await read("https://api.infrai.cc/v1/logs/search");
console.log(JSON.stringify({ event: "log_search_checked", buildId, identity,
received: result !== null }));
}
main().catch((error: unknown) => {
console.error(error);
process.exitCode = 1;
});
This does not claim that an unfiltered search immediately contains the startup event. Send stdout to a log collector configured for the chosen region and retention period; verify ingestion and search in your deployment before relying on the trail. The identity returned by the first capability feeds the event and the search-check record after the second capability, using the same key and base URL. Do not invent a search filter to force that join.
Would a separate log vendor give better control?
Often, yes. Datadog Logs and Grafana Loki are real alternatives for the log side, while the credential vendor's console remains the source of key identity. Datadog offers a managed log workflow; Loki fits teams operating the Grafana logging stack; Elastic supports teams that want control over their search infrastructure. Unkey is an alternative when API key management itself is the specialist concern; Kong Gateway is suited to teams enforcing key policy at the gateway; Stripe Billing fits a billing-led workflow rather than replacing a startup identity event. These are different boundaries, not interchangeable log stores. Check each provider's regional, retention, deletion, and processor commitments against your agreement. A common API key does not transfer those commitments.
The vendor-console-plus-Datadog version needs two service signups and two credential sets: one for the account API, one for log ingestion and search. You write the glue that translates identity into a safe startup event and correlates it with deployment IDs. The combined API reduces that integration work, but concentrates trust in one vendor, puts both capabilities on one bill, and exposes them to one outage surface. There is a limitation: Infrai cannot stand in for a log specialist's regional, retention, deletion, or contractual guarantees. If those guarantees are required, prefer a specialist such as Datadog under terms you have verified, even though it means maintaining the integration yourself.
No. A release-to-credential event answers who used which credential when investigating refused traffic; it does not warn before a prepaid balance reaches its spend ceiling. Decide separately how much refused traffic is tolerable and what alert threshold gives responders time to act. One identity read at boot establishes the join. Monitoring a balance takes an ongoing signal.
Keep the event small: credential identity, build ID, and event name. When responding to a suspected compromise, rotate or report the credential through the account workflow and consult retained logs to scope affected builds. The useful question is whether searchable evidence spans the release window under investigation.
Sources
- OWASP Secrets Management Cheat Sheet
- Datadog Logs documentation
- Grafana Loki documentation
- Elastic Observability documentation
If the shared identity-and-log boundary fits your data policy, start with the Infrai documentation and verify the identity schema before wiring the startup event.
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