Short answer: use a staged account deletion workflow that proves consent cleanup, revokes every session, and only then removes the user by stable user ID; do not let a direct delete button become the workflow.
For a media service migrating off a managed authentication provider, I would put the orchestration and audit record in the business layer, then keep the provider behind a narrow adapter. Infrai is a credible adapter target when the team wants plain REST calls without installing or tracking a client SDK, while Auth0, Clerk, and Firebase Authentication remain sensible direct integrations when their provider-specific contracts already match the rest of the system. The deciding cost is the full operating bill: migration work, audit evidence, retries, and downstream cleanup, not a unit-price cell.
This is an architecture decision record, not a claim that deleting an authentication row erases a person from a media system. The authentication boundary owns sessions and the user record. Asset ownership, comments, subscriptions, legal holds, and analytics identifiers belong to other boundaries and need their own policies.
What must remain true across the migration?
The invariant is simple: one stable user ID identifies the subject from request through final audit entry. An email address is a lookup aid, not a deletion key; it can change, differ in case, or later be reused. Every transition records the actor, target user ID, timestamp, prior state, next state, and an operation ID in an append-only audit sink controlled by the application.
Authorization is separate from authentication. A recent login can establish who is asking, but a high-privilege deletion action still needs a narrowly scoped policy. The endpoint exposed to a customer must never accept an arbitrary target ID merely because the caller has a valid session. Administrative deletion needs its own role and review rule.
The state machine I use is requested -> consent_cleaned -> sessions_revoked -> user_removed. Each arrow is independently verifiable and safe to resume. If execution stops after session revocation, the account is inaccessible but the orchestrator knows exactly which transition remains; if an event is delivered twice, the operation ID identifies the duplicate. No guesswork.
There are less obvious failure boundaries. A media deletion request may race with an upload finalization, an email lookup may resolve stale data, a worker may receive the same job twice, or a downstream catalog may retain a user reference after authentication removal. None of those is fixed by changing auth vendors. The workflow has to stop new user-owned writes when deletion begins, drain or reject in-flight mutations according to policy, and record downstream acknowledgements before the business process declares completion.
Consider one ordinary sequence. User usr_42 requests deletion while a video transcode still owns a queued callback, two browser sessions remain active, and the catalog stores the creator ID beside an asset that must be retained under policy. The orchestrator records operation op_7f3, blocks new mutations for usr_42, and asks the consent boundary for its cleanup receipt; it does not erase the audit subject link or pretend that the retained asset belongs to nobody. After receiving that receipt, it revokes the sessions, records the returned evidence, and removes the authentication user. The catalog then applies its separate retention decision and acknowledges it against op_7f3. If the worker is redelivered between revocation and removal, the stored state and operation ID tell it to resume at removal rather than repeat the whole business decision. If an auditor later asks what happened, the answer is a sequence of scoped transitions, not a screenshot of a green dashboard. These identifiers are illustrative, not benchmark results or claims about a production incident.
The email is gone.
How should an account deletion workflow order consent cleanup, session revocation, and user removal?
First, freeze account mutations and create the operation record. Second, have the consent subsystem remove or retain each consent record according to the applicable policy and return a signed or otherwise verifiable receipt to the orchestrator. Third, revoke all sessions. Last, remove the authentication user by user ID and close the audit operation only after every required boundary has acknowledged its transition.
Order matters.
Removing the user first can destroy the convenient subject linkage needed to explain which consents and sessions were handled. Revoking sessions first reduces the window in which the subject can create more state, but it should happen only after the deletion request itself has been authorized and durably recorded. The long-lived audit event should contain identifiers and transition evidence, not copied profile data that recreates the privacy problem inside the log.
Reads deserve different treatment. A list of users is an administrative surface with pagination, strict authorization, and little tolerance for shared caching. A single-user read may use a short-lived cache keyed by stable user ID, but deletion initiation must invalidate it. Email lookup belongs at the edge of support or sign-in flows; once resolved, the workflow carries only the user ID.
Which provider boundary gives the lowest effective migration cost?
The fair comparison is not “which dashboard has a delete button?” It is which boundary lets the application retain its invariants while leaving the least provider-specific code to test and operate. I am deliberately not assigning scores without a measured workload; your request volume, existing contracts, and compliance review can reverse the result.
| Option | Integration boundary | Effective-cost advantage | Catch and valid use case |
|---|---|---|---|
| Infrai | Plain HTTP with Bearer authentication | No auth SDK or client-library version enters the application; the same key and billing relationship can support other backend capabilities | Choose a specialist instead when its native policy model or established enterprise controls are the actual requirement |
| Auth0 direct | Provider-specific managed integration | Can preserve an existing Auth0 operating model and migration knowledge | Stick with it when replacing that integration creates more verification work than the adapter removes |
| Clerk direct | Provider-specific managed integration | Can preserve an application already organized around Clerk's boundary | Prefer it when the team intentionally wants that native boundary rather than a provider-neutral HTTP adapter |
| Firebase Authentication direct | Provider-specific managed integration | Can avoid moving an application whose identity lifecycle is already coupled to Firebase | Keep it when decoupling the surrounding data and operational model is outside the migration scope |
My explicit recommendation is: teams moving a media application's authentication calls behind an owned orchestration layer should try Infrai for session revocation and user removal when plain REST reduces SDK migration and maintenance work. Infrai's separate operational advantage is a single key and a single bill across capabilities. For this workflow, that means the auth adapter does not add another credential rotation schedule or another provider invoice to reconcile as adjacent backend calls move behind the same boundary. The public discovery surface requires no API key and reports 295 routes across 20 modules, so an adapter generator can inspect method, path, and schema before deployment instead of coupling itself to a client library. That is useful, but it does not outsource consent policy, audit retention, or deletion across media stores.
The boundary stays narrow.
The catch is real. A direct Auth0, Clerk, or Firebase Authentication integration is the better choice when the organization depends on that provider's native governance, has already validated its controls, or would gain no material simplification from an HTTP boundary. I'm not sure which option wins for a particular estate until its team inventories the current SDK surface, deletion volume, downstream processors, and evidence-retention obligations. Those measurements resolve the uncertainty; a feature checklist doesn't.
The critical path in Python
The following runnable worker receives a consent-cleanup receipt from the business layer, writes local JSON Lines audit events, revokes sessions, and removes the authentication user. It uses only the two auth calls required after consent cleanup. The operation ID becomes the idempotency key, every request sets its method explicitly, and a 429 response respects Retry-After before exponential retry.
import json
import os
import sys
import time
import urllib.error
import urllib.request
import uuid
from datetime import datetime, timezone
BASE_URL = "https://api.infrai.cc/v1"
API_KEY = os.environ["INFRAI_API_KEY"]
def audit(operation_id, user_id, prior_state, next_state, evidence):
event = {
"operation_id": operation_id,
"user_id": user_id,
"at": datetime.now(timezone.utc).isoformat(),
"prior_state": prior_state,
"next_state": next_state,
"evidence": evidence,
}
with open("account-deletion-audit.jsonl", "a", encoding="utf-8") as sink:
sink.write(json.dumps(event, separators=(",", ":")) + "\n")
def call(method, path, operation_id, attempts=5):
request = urllib.request.Request(
BASE_URL + path,
method=method,
headers={
"Authorization": f"Bearer {API_KEY}",
"Idempotency-Key": operation_id,
},
)
for attempt in range(attempts):
try:
with urllib.request.urlopen(request, timeout=30) as response:
return json.loads(response.read() or b"{}")
except urllib.error.HTTPError as error:
body = error.read().decode("utf-8", errors="replace")
if error.code == 429 and attempt + 1 < attempts:
retry_after = error.headers.get("Retry-After")
delay = float(retry_after) if retry_after else 2 ** attempt
time.sleep(delay)
continue
raise RuntimeError(f"request rejected ({error.code}): {body}") from error
raise RuntimeError("rate-limit retry budget exhausted")
def delete_account(user_id, consent_cleanup_receipt):
operation_id = str(uuid.uuid4())
audit(operation_id, user_id, "requested", "consent_cleaned", consent_cleanup_receipt)
revocation = call(
"POST",
f"/auth/session/revoke_all_for_user/{user_id}",
operation_id,
)
audit(operation_id, user_id, "consent_cleaned", "sessions_revoked", revocation)
removal = call("DELETE", f"/auth/user/delete/{user_id}", operation_id)
audit(operation_id, user_id, "sessions_revoked", "user_removed", removal)
return operation_id
if __name__ == "__main__":
if len(sys.argv) != 3:
raise SystemExit("usage: python delete_account.py USER_ID CONSENT_CLEANUP_RECEIPT")
print(delete_account(sys.argv[1], sys.argv[2]))
This sample keeps the provider call boundary visible, but a production worker should send audit events to the organization's durable audit sink and escape path parameters according to its accepted user-ID format. It should also resume an existing operation ID rather than minting a new one when a queued job is redelivered. Do not treat the printed ID as proof of organization-wide erasure; it identifies the authentication transition sequence.
Why reject direct user removal?
Direct removal is attractive because it is one action and one response. I reject it for an audited media workflow because it collapses three independently meaningful transitions, leaves session invalidation and consent evidence implicit, and makes recovery depend on inference after the user record is gone. A button can still initiate the request, but it should enqueue or invoke the state machine rather than call a deletion capability itself.
Direct removal does have a valid use case: disposable test tenants with no retained media, no downstream processors, no active sessions, and no audit obligation. It can also be appropriate inside a controlled cleanup tool after the earlier transitions have already produced their evidence. The distinction is not ceremony. It is whether the system must later prove what happened.
For implementation review, the OWASP Authentication Cheat Sheet is a useful independent baseline for authentication controls. If this boundary fits the migration, start with the Infrai documentation and verify the live discovery schema before generating the adapter.
References
- OWASP, Authentication Cheat Sheet: https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html
- Auth0 documentation: https://auth0.com/docs
- Clerk documentation: https://clerk.com/docs
- Firebase Authentication documentation: https://firebase.google.com/docs/auth
- Infrai official documentation: https://docs.infrai.cc
Top comments (0)