How Hosted Web CRON Works

If you already understand server CRON, hosted Web CRON is a short step sideways. A hosted service keeps the clock and, when a schedule fires, sends an HTTP request to an endpoint you expose. Your application does the work and answers with a status.

Lifecycle diagram of a hosted schedule triggering an HTTP request, receiving a response, and routing logs, retry review, and controls.
Hosted execution lifecycle: timing stays with the scheduler while task logic remains in the application.

If you already understand server CRON, hosted Web CRON is a short step sideways. The idea is the same, run something on a schedule, but the scheduler no longer lives on the machine doing the work. Instead, a hosted service keeps the clock and, when a schedule fires, sends an HTTP request to an endpoint you expose. Your application does the actual task and answers with a status. This page walks through that lifecycle one stage at a time, marks what your application still owns, and flags which details to confirm against the official source before you depend on them.

One distinction runs through everything below. The generic mechanics of scheduled HTTP requests are stable and worth understanding on their own. The product-specific behavior of Web CRON by ostr.io is stated separately, drawn from public evidence dated on this page, and should be refreshed before you rely on it.

Timing on one side, your task on the other

Hosted Web CRON separates timing from application code. You define when work should run, and the scheduler calls an endpoint that performs it. What does not move is ownership of the task itself: your application still owns the task logic, the permission checks, the idempotency, and the response it returns.

That split is the whole mental model. As a rule, a scheduled HTTP task is easier to operate when the endpoint can be called more than once without harm and returns a clear success or failure response. Build it that way and the scheduler’s job stays simple: fire on time, read the result, and surface it.

Picture a nightly job that rebuilds a search index. The schedule says 02:00, the scheduler calls a route like /tasks/rebuild-index, your code does the work, and it returns a 200 or an error status. None of the index logic lives in the scheduler, which is exactly the point: the timing is hosted, the work stays in your application.

What the scheduler calls: an HTTP endpoint

The target is an endpoint you already control. Public evidence supports the statement that Web CRON by ostr.io triggers server tasks over HTTP, so the unit of work is an ordinary request to a URL that runs your task. [ostr.io/info/web-cron, accessed ] Beyond that, this page does not assert protocol specifics the public documentation does not state. Treat transport security as something to confirm against the official source and to enforce on your own endpoint.

Think of the endpoint as a pattern rather than a product screen: a route that does one job, validates its caller, and reports back. It is worth being clear about what the scheduler does not do. It does not write your task, and it cannot know a run succeeded unless your endpoint says so through its status code. A task that returns 200 while swallowing an error will look healthy from the outside, which is the failure mode most worth designing against. The HTTP task calls page covers how the request behaves and what the scheduler expects in the response.

When it runs: CRON-style timing

Scheduling uses a familiar shape. Public evidence supports task rules similar to classic Linux CRON, which means the five-field expressions you have written for a crontab translate directly to expressing a recurring schedule here. [ostr.io/info/web-cron, accessed ]If you can already say “every night at 02:15” or “every fifteen minutes” in CRON syntax, you can say it for a hosted run.

What the public documentation does not pin down is the exact parser behavior, the default timezone, and any minimum interval or maximum frequency, so confirm those before you commit a tight cadence. For the syntax itself, the cron expression guide has worked examples, and the cron scheduling page covers the model in more depth.

Reaching a protected endpoint

Most real tasks should not sit on an open URL. Public evidence supports Basic authentication with a username and password for protected endpoints, so the scheduler can call a route that rejects anonymous callers. [ostr.io/info/web-cron, accessed ] That covers carrying the credentials; the harder part is yours.

Before you schedule a protected route, review it for least privilege, secret rotation, and response clarity. A scheduled job should use a credential scoped to that job, not one borrowed from an admin account, and the secret should be rotatable without editing the task by hand. The Basic Auth page covers the failure modes worth planning for, including credentials that leak through a referrer header or a verbose log line.

What you can see after a run

A schedule is only as trustworthy as what it lets you inspect. Public evidence supports task information that includes logs and the latest response body, which is exactly what you need to tell four outcomes apart: an endpoint bug, an authentication failure, a server outage, and a clean run. [ostr.io/info/web-cron, accessed ] Each leaves a different fingerprint in the status code and the response. In practice they show up differently: a 401 or 403 points at the authentication check, a 5xx usually points at a bug inside the task, a request that never completes points at an unavailable server, and a 2xx with the body you expected is a clean run. Designing the endpoint so those cases stay distinct is what makes the logs worth reading.

This is why response design matters. A short, honest body with a correlation ID turns a vague report of failure into a traceable event. The execution control page covers logs, the latest response, retries, pause, and resume together, so you can see what is available after success or failure.

When a run fails: retry before alert

Failures are normal, and the useful question is what happens next. Public evidence supports one specific behavior: when the server is unavailable, Web CRON can retry before it raises an alert. [ostr.io/info/web-cron, accessed ] That is the verified statement, and this page keeps to it.

What the public documentation does not state, and what this page therefore does not invent, is the retry count, the interval, the backoff, any timeout rule, the alert channel, the recipient model, or a delivery guarantee. Plan your own status codes and escalation around the one fact that is confirmed, and treat the rest as questions for the product. The failure alerts page goes deeper on the verified retry-before-alert behavior and on keeping channel-specific claims out of your planning until you have checked them.

When this lifecycle matches the task you need to run, you can move to the current product.

Pausing and resuming a task

A scheduled task is not always meant to run. Public evidence supports tasks being paused and resumed, which gives you a clean way to handle a maintenance window, an endpoint change, or a temporary investigation without deleting and rebuilding the schedule. [ostr.io/info/web-cron, accessed ] Pause it while you work, resume it once the endpoint is healthy again. The execution control page treats pause and resume alongside the rest of the operational controls.

Where the line falls: scheduler versus your application

It helps to hold the two sides apart. The scheduler side covers timing, dispatching the request, the retry and alert behavior, the logs and latest response, and pause and resume. The application side covers the endpoint code, the authentication check, idempotency, and the status and body it returns. Most reliability problems live on the application side, which is the good news: they are yours to fix before the first scheduled run.

Two-column responsibility split between scheduler-side timing and visibility and application-side endpoint logic and authentication.
Scheduler responsibilities and application responsibilities stay distinct throughout the workflow.

If the model fits and your endpoint is ready, getting started walks through preparing it, and the FAQ answers the common questions about scheduling, security, visibility, and cost.

Frequently asked questions

What happens when a schedule fires?
The hosted scheduler sends an HTTP request to your endpoint, your application runs the task and returns a status, and the result is recorded in the logs and latest response. For Web CRON by ostr.io, public evidence supports HTTP-triggered tasks and that visibility; confirm specifics against the official source.
What kind of endpoint does hosted Web CRON call?
An ordinary server-side HTTP endpoint that you control. It should run one task, validate its caller, be safe to call more than once, and return a clear success or failure status.
How are protected endpoints handled?
Public evidence supports Basic authentication with a username and password, so the scheduler can reach a route that is not open to the public. Pair it with HTTPS on your side, scope the credential to the job, and keep it rotatable and out of logs.
What can I see after a success or failure?
Public evidence supports task information that includes logs and the latest response body, which lets you separate endpoint bugs, authentication failures, and outages from clean runs. Retry counts, channels, and delivery guarantees are not confirmed in public documentation.
Where should I continue when the model fits?
Web CRON by ostr.io, for current product information, with getting started as the preparation step before you go.

If scheduled HTTP requests, CRON-style timing, Basic authentication, execution visibility, retry behavior, and pause and resume match the task you need to run, continue to the official Web CRON by ostr.io page for current product information.

Ready to evaluate Web CRON by ostr.io?

When current evidence confirms fit, continue to the official product page to start your evaluation.

Explore Web CRON by ostr.io