Synthetic monitoring

Monitor protected flows at real frequency.

Roolink makes it cheap to verify that a protected login, fare, or checkout path still works, without a browser monitor per region per minute.

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synthetic_check.sh

bash

# Fail fast if the protected booking path degrades in a region
status=$(curl -s -o /dev/null -w "%{http_code}" \
  https://web.roolink.io/api/v1/sensor \
  -H "x-api-key: $ROOLINK_KEY" \
  -H "content-type: application/json" \
  -d '{"url":"https://www.example.com/book","userAgent":"..."}')

[ "$status" = "200" ] || alert "protected path degraded: $status"

The problem

Where synthetic monitoring hits the wall.

SRE and reliability teams run into this constantly. Here is the concrete version, and where Roolink stops.

An SRE team needs to know within a minute if the Akamai protected booking path starts returning 418s in a given region. Running a full browser monitor per region per minute is expensive, and the failures are buried in rendering noise. A Roolink backed check is a handful of HTTP calls that return a clean status, so alerting keys off the protected step itself.

Who this is for

SRE and reliability teams
Synthetic monitoring teams
Travel and ecommerce operators
Internal platform teams

What synthetic monitoring teams replace

Full browser monitors are costly at high frequency across many regions
Failures are buried in browser rendering noise
Protected journeys need specialized challenge handling
Incident triage needs request level signal

Workflow

How Roolink fits a synthetic monitoring workflow.

Roolink handles the anti-bot step. Your team owns scheduling, storage, analysis, and business logic.

Typical workflow

Pick the protected journeys to watch
Run Roolink backed checks at the right frequency and regions
Alert on status codes and cookie validity
Attach request context to incidents for triage

Operational outcomes

High frequency checks at a fraction of browser monitor cost
Clean pass or fail signal on the protected step itself
No synthetic monitoring browser fleet to operate
Request level context that speeds incident triage

Platform products

Products for synthetic monitoring.

Each is callable from the same API key. Most teams here use one or two.

Akamai Web

Lightweight protected path checks for web journeys.

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Akamai BMP

Synthetic checks for protected iOS and Android app flows.

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Kasada

Monitor Kasada protected paths without a browser fleet.

View product

FAQ

Synthetic monitoring questions.

Short answers for teams evaluating whether Roolink is a fit.

Does this replace every browser monitor?

No. Keep browser monitors for visual and UX checks. Roolink is the better fit for high frequency validation of the protected step itself.

Can I run checks from specific regions?

Yes. Roolink passes through your proxy, so you control the egress region per check.

What signal do I alert on?

Status codes (200 versus 403 or 418) and _abck cookie validity give a clean pass or fail on the protected step.

Related use cases

Teams doing synthetic monitoring also run:

The same request-based model maps cleanly across adjacent workflows.

QA testing

Validate Akamai and Kasada protected paths in CI without depending only on slow, flaky, full browser end to end suites.

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Travel automation

Scrape fare search, award availability, hotel inventory, and loyalty flows behind Akamai Bot Manager and Kasada with request based sensor data. Web and mobile, one API key.

View use case

Price monitoring

Scrape pricing, fares, and inventory from Akamai and Kasada protected sites with a request based API, instead of a Playwright or Puppeteer fleet of headless browsers.

View use case

Ready to test this workflow?

Create an account or talk to us about your volume, sources, and integration path.

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