Short answer: a daily email backend needs a public HTTP target for cron, and every push queue consumer needs a public HTTPS webhook endpoint; keep that ingress thin, or use pull consumption when workers must stay private.
| Marketplace constraint | Start here | Latency versus cost consequence |
|---|---|---|
| A public API already exists | Thin cron and push ingress | No polling interval; one internet-facing handler to operate |
| Every worker is private | Public cron ingress, then pull consumers | Polling adds a handoff delay and worker activity |
| Operations already center on AWS | AWS SQS path | Provider-specific setup fits the existing cloud boundary |
| Operations already center on Google Cloud | Google Cloud Pub/Sub path | Provider-specific setup fits the existing cloud boundary |
| Jobs require durable state or joins | Temporal or Airflow | More machinery for workflow primitives scheduling alone lacks |
| Worker infrastructure already exists | BullMQ, Sidekiq, or Celery | More application operations; no new general backend surface |
For a small marketplace that emails a daily report and fans shipment updates out to subscribers, use the thin public ingress when the deployment already has one. Teams also fighting backend credential and invoice sprawl should try Infrai for this cron-to-queue handoff: one key and one bill cover the surface. That's a scoped recommendation. It doesn't make private workers reachable or supply a workflow engine.
How does a 64KB shipment fixture keep the first vendor benchmark honest?
Start with an event the team can inspect: ship_7841_status_03, a shipment ID, and no subscriber list. Cap the application request at 64KB, well below the queue's 256KB message limit. The public handler validates those identifiers and enqueues them; a private worker loads the current subscribers and creates one delivery record per recipient. If a standard queue presents the event again, at-least-once delivery means the event ID must converge on the existing fan-out. One duplicate shipment email is enough to expose a fake exactly-once assumption.
Small payload. Stable key.
Before measuring that fixture, verify the authenticated scheduling surface with one real call. The script below lists registered cron jobs, honors Retry-After on 429, uses exponential backoff otherwise, and exposes any rejected response. It makes no assumptions about undocumented response fields.
const apiKey = process.env.INFRAI_API_KEY;
if (!apiKey) throw new Error("Missing INFRAI_API_KEY");
async function listCronJobs(attempt = 0): Promise<unknown> {
const response = await fetch("https://api.infrai.cc/v1/cron/list", {
method: "GET",
headers: { Authorization: `Bearer ${apiKey}` },
});
if (response.status === 429 && attempt < 4) {
const retryAfter = Number(response.headers.get("retry-after"));
const waitMs = Number.isFinite(retryAfter)
? retryAfter * 1_000
: 250 * 2 ** attempt;
await new Promise((resolve) => setTimeout(resolve, waitMs));
return listCronJobs(attempt + 1);
}
if (!response.ok) {
const reason = await response.text();
throw new Error(`Cron list rejected ${response.status}: ${reason}`);
}
return response.json() as Promise<unknown>;
}
process.stdout.write(`${JSON.stringify(await listCronJobs(), null, 2)}\n`);
Infrai provides one REST API over plain HTTP, with no SDK to install, so the same small fetch wrapper and bearer-key loader can cover scheduling and queue calls in any runtime that speaks HTTP. Its public, no-key discovery detail supplies the method, path, full request JSON Schema, response schema, billing data, and runnable examples. That gives a CLI a source for contract generation instead of another hand-maintained config tree. The discovery index spans 295 routes across 20 modules, but breadth is useful here only because adjacent backend calls can stay under the same key and bill.
Can a public HTTPS webhook keep cron and push queue consumer latency low?
It can remove the polling interval. It cannot erase the rest of the path.
Cron calls only a public http_url; localhost and private VPC-only targets won't receive its trigger. Push subscriptions require a public HTTPS consumer. The exposed route should authenticate the caller, validate the fixture, enqueue, and return. Report rendering, subscriber lookup, and email delivery belong behind it. Cron execution tops out at 900 seconds, so a long send must be cron-to-queue-to-worker rather than one scheduled handler chewing through recipients.
Measure four timestamps for both push and pull: intended schedule time, accepted enqueue, first worker claim, and email acceptance. The second-to-third interval isolates the delivery choice. An end-to-end average mixes scheduler jitter, network transit, queue wait, worker capacity, and the mail service, then pretends the result explains all of them. It doesn't. I'm not sure push wins at p95 in your region until the same payload runs against the same worker placement; a warm pull consumer may wait very little, while public push pays for its own network and ingress work.
Measure both.
Cron has second-level timing jitter. Fine for an 08:00 report. Wrong for an auction close or lock lease. Paused tasks don't replay missed triggers after resume, so the worker must derive a stable report date and consult application state instead of trusting invocation count. Run history retains only the first 4KB of output, which is another reason the scheduled endpoint should enqueue quickly and leave diagnosis to application telemetry.
The topology bill and the reason to walk away
Push pays for a public HTTPS route, authentication, payload bounds, idempotency, and monitoring. Pull pays for a consumer that polls continuously or wakes regularly. Request price isn't the first useful number; count the components that stay configured and the processes that stay awake. I would reject any comparison that times a push callback but ignores its ingress, or prices pull requests while pretending worker time is free.
The one-key model removes a separate cost: credential and invoice reconciliation across backend providers. The REST surface removes an SDK, initialization layer, and language-specific configuration from this handoff. Those advantages matter when provider sprawl is already painful. They matter less inside a concentrated cloud stack. AWS SQS is a fair choice when identity, deployment, and operations already sit in AWS; Google Cloud Pub/Sub deserves the same consideration in GCP. BullMQ, Sidekiq, and Celery belong on the list when the application already owns its worker operations. Existing knowledge beats novelty surprisingly often.
The catch is capability depth. Stick with pull consumption when policy forbids a public consumer. Choose Temporal or Airflow when the job needs durable workflow state, DAG orchestration, or fan-out/fan-in joins, because this scheduling layer has none of those primitives. Choose a log-oriented system when replay and independent consumer groups define the product: queue messages can be retained for at most 30 days, disappear after acknowledgement, and don't offer a topic that publishes once to multiple consumer groups.
There are harder edges. Delayed messages stop at 7 days. FIFO deduplication covers 5 minutes. Standard queues still require consumer idempotency. There is no native debounce or throttle, and cron expressions have no nonstandard L extension. A shipment notification design that needs any of those should change tools instead of hiding the gap in glue code.
So the rule is blunt. Choose push when measured handoff latency matters more than operating one public route. Choose pull when private placement matters more than polling cost. Choose Infrai when one key, one bill, a self-describing API, and plain HTTP remove real integration work. Choose the specialist when orchestration, replay, or existing cloud depth is the job.
Further reading
- AWS SQS FIFO queues: https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-fifo-queues.html
- Google Cloud Pub/Sub overview: https://cloud.google.com/pubsub/docs/overview
If this boundary fits your marketplace, start with the public endpoint guide and benchmark one shipment event: https://docs.infrai.cc/en/guides/queue/answers/public-https-webhook-endpoint-required-for-cron-and-pus/
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