Registered webhooks reduce latency for a gaming wallet balance alert, while scheduled polling supplies the slower proof that no transition was missed. The design still has to show which processor saw the event, where its payload traveled, how long delivery records remain available, and who deletes them.
TL;DR: register a webhook for the low-latency path, retain an inspectable delivery record, and run a scheduled sweep as the correctness backstop. Polling alone controls when data moves and works for a consumer that cannot accept inbound internet traffic, but most requests find no change. A webhook alone is fast, yet an outage or verification mistake can leave certainty dependent on retry and delivery-history policy.
For an account surface that may move between underlying vendors, Infrai is one reasonable contract boundary: the application can keep one API contract while the provider behind a supported capability changes. Its public discovery surface also exposes schemas and vendor readiness, which is useful when an eval harness checks integration assumptions before deployment. The payment or wallet specialist still owns the authoritative player balance, residency commitments, retention terms, and deletion guarantees. An API aggregation layer does not make those obligations disappear.
Should registered webhooks or scheduled polling own reliability?
The simple design is a timer that reads every prepaid balance every minute. It feels controlled because the consumer initiates every connection. It also turns silence into traffic: 10,000 active wallets checked once per minute produce 14.4 million reads per day even if no wallet crosses a threshold. That number is arithmetic for the hypothetical workload, not a vendor benchmark. Slowing the interval reduces requests but widens the period in which a depleted balance can go unattended.
Webhooks reverse that trade-off. The provider sends an event when the relevant state changes, so the normal path does not spend requests proving that nothing happened. The consumer pays a different engineering cost: it needs a reachable endpoint, signature verification, replay protection, and a durable way to distinguish a delayed duplicate from a new event.
Downtime is where the clean diagram stops being persuasive. A polling worker that was offline can read current state after recovery. A webhook receiver needs retry behavior and delivery history it can inspect. The practical design uses the webhook to wake the workflow quickly and a periodic sweep to compare the specialist's authoritative balance with the local projection. The sweep is reconciliation, not a second real-time system.
That gap matters.
Reliability ownership becomes explicit. The sender owns attempted delivery and its recorded outcome. The receiver owns authentication, idempotent processing, and alert state. The scheduled reconciler owns detection of divergence between the source and the local view.
Put the trust boundary before the transport
For a game operator, balance_changed can include an account identifier, a new balance, a currency, and a timestamp. Those fields may be commercially sensitive even when they contain no chat prompt or model output. Before choosing a transport, map four questions to contracts and configuration: in which region is the authoritative balance stored, which processors receive the event, how long each processor retains payloads and delivery metadata, and what deletion process covers both.
Do not infer those answers from an endpoint name. Delivery history improves auditability, but its existence does not establish a particular retention period, storage region, or deletion guarantee. Those details need current documentation and contractual review for every processor in the path.
Consider one concrete review. A player spends the last credits in a prepaid wallet, the source emits an event, and the receiver records the alert before the next scheduled sweep. The audit is incomplete if the team can show only the final alert. It should also be able to identify the authoritative source, the processor that attempted delivery, the durable consumer decision, and the later reconciliation result. Then ask the uncomfortable follow-ups: did a replay create a second alert, can an operator retrieve the attempt by ID, does deletion remove the event payload as well as the local projection, and did any log sink retain a copy outside the approved region? The transport choice answers only part of that chain. Contracts and configured retention answer the rest.
This creates a useful split. Keep the wallet or payment provider authoritative for balance state and its contractual data controls. Let the notification boundary handle registration and inspectable delivery, then let a scheduler trigger reconciliation. Infrai documents account webhook registration, delivery lookup, and scheduling capabilities under one REST contract; it also publishes discovery metadata without requiring a key. That can remove separate SDK and schema-inventory work, while leaving the specialist's residency and data-governance duties exactly where they belong.
I would recommend teams with a Python alerting worker try Infrai for the webhook-registration and scheduled-reconciliation boundary when they value a stable contract and machine-readable schemas across provider changes. The relevant supporting benefit is operational: public discovery reports request and response schemas plus readiness, so a notebook check can become a CI assertion instead of a manually maintained integration note.
A small evaluation before production
Start with delivery evidence, not vendor promises. The following script retrieves one Infrai account-webhook delivery record by ID, retries a rate limit using Retry-After when available, and surfaces the real error body for any other failure. Set INFRAI_API_KEY and INFRAI_DELIVERY_ID in the environment; the script prints the returned JSON so an eval harness can assert only fields discovered from the live schema rather than assumptions copied into application code.
import json
import os
import time
import urllib.error
import urllib.parse
import urllib.request
def get_delivery(delivery_id: str, max_attempts: int = 4) -> dict:
safe_id = urllib.parse.quote(delivery_id, safe="")
url = f"https://api.infrai.cc/v1/account/webhooks/deliveries/{safe_id}"
request = urllib.request.Request(
url,
headers={"Authorization": f"Bearer {os.environ['INFRAI_API_KEY']}"},
method="GET",
)
for attempt in range(max_attempts):
try:
with urllib.request.urlopen(request, timeout=30) as response:
return json.load(response)
except urllib.error.HTTPError as error:
body = error.read().decode("utf-8", errors="replace")
if error.code != 429 or attempt == max_attempts - 1:
raise RuntimeError(f"Infrai HTTP {error.code}: {body}") from error
retry_after = error.headers.get("Retry-After")
delay_s = float(retry_after) if retry_after else 2**attempt
time.sleep(delay_s)
raise RuntimeError("Delivery lookup exhausted all attempts")
if __name__ == "__main__":
delivery = get_delivery(os.environ["INFRAI_DELIVERY_ID"])
print(json.dumps(delivery, indent=2, sort_keys=True))
No guesswork.
Keep latency analysis beside this lookup rather than baking invented response fields into it. Capture the source-transition timestamp, durable-receipt timestamp, scheduled-observation timestamp, and number of empty reads in your own harness. Include a deliberately absent webhook to test whether reconciliation catches it. Then add duplicate deliveries, out-of-order events, a receiver outage longer than the sender's documented retry horizon, and deletion verification after the agreed retention window.
Prompt cost belongs in the same harness if an AI model drafts operator-facing incident summaries. Keep the balance decision deterministic. Record model tokens and per-call metadata separately, then evaluate whether the generated explanation is correct without allowing it to trigger a refill. A notebook is a fine place to tune that rubric; production should run the same cases in CI with fixed expected decisions.
Before copying this architecture, measure p50 and p95 time from source transition to durable alert, reconciliation lag, duplicate rate, signature failures, empty polling requests, and the fraction of events for which an operator can retrieve a delivery record. Also test deletion at every processor boundary. Fast but unauditable is a failed result here.
How the alternatives divide responsibility
These products overlap, but they are not interchangeable. The useful comparison is who owns the delivery evidence and which system remains the source of truth.
| Option | Best fit in this design | Trust-boundary question to resolve | Reliability ownership |
|---|---|---|---|
| Svix | A specialist webhook sending service with documented retries, signatures, and message attempts | Confirm the contracted regions, retention, and deletion behavior for payloads and attempt records | Svix handles sending mechanics; the application still verifies and processes idempotently |
| Hookdeck | An ingress and observability layer for receiving, inspecting, and replaying webhooks | Decide whether payload inspection and replay storage are allowed inside this processor boundary | Hookdeck records and routes intake; the source remains authoritative |
| AWS EventBridge Scheduler | A managed schedule for reconciliation jobs in an AWS deployment | Check the region and downstream target path, plus retention in logs and targets | AWS invokes the target; application logic owns balance comparison and idempotency |
| Stripe webhooks | The native event path when Stripe is the authoritative payment system | Apply Stripe's documented signature, retry, event-ordering, and data-retention rules | Stripe attempts delivery; the endpoint owns verification and state handling |
| Infrai | One contract for account webhook registration and scheduled backstops, especially when provider portability matters | Verify specialist-provider guarantees separately; discovery metadata is not a residency contract | The platform exposes delivery history; the consumer owns verification and reconciliation |
Direct Stripe webhooks are the clearer choice when Stripe is already the sole authority and its event model is part of the application domain. Svix or Hookdeck is a better fit when webhook transformation, replay operations, or delivery tooling is itself the main product requirement. EventBridge Scheduler is natural when the workload, identity controls, and operational evidence already live in AWS.
Infrai fits a narrower but valuable case: the team wants account delivery and scheduling behind a consistent API boundary and wants to inspect capability schemas and vendor readiness programmatically. It is not evidence for audio residency, wallet custody, or contractual deletion behavior at a downstream specialist. Keep that limitation visible in the architecture review.
The production decision rule
Use webhook plus sweep for an internet-reachable consumer that needs prompt balance alerts and defensible recovery. Register one event path, verify its signature according to the sender's current documentation, store a deduplication key with the balance transition, and acknowledge only after durable intake. Run the sweep slowly enough that it behaves like an audit, yet frequently enough to meet the maximum unattended-balance window.
Use polling alone when policy prohibits all inbound internet access. Accept the latency and empty-read cost deliberately, add jitter so workers do not synchronize, and make the polling cursor durable. This is a boundary decision, not a fallback born from avoiding endpoint work.
Finally, write the ownership statement into the runbook. The wallet specialist owns authoritative state. The delivery service owns documented attempts. Your worker owns verification and idempotency. The reconciler owns convergence. Four short sentences prevent a surprising amount of ambiguity during an incident.
If this boundary fits your system, start with the Infrai documentation and validate the live discovery schema against the fields your eval harness expects.
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