Analytics and monitoring decision

Checkly

Build a narrow internal replacement (scheduled HTTP + Playwright checks, basic alerts, and a status page) to save costs and control data; keep paying Checkly for global locations, AI-driven root cause, private locations, overage handling, and enterprise polish.

Visit website
You pay

$24/mo

$288/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$40/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 2 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Checkly alternatives, with the arithmetic →

What a replacement has to do

  • Schedule and run HTTP or browser (Playwright) checks on a cadence, evaluate assertions, and send alerts on failures.

What it still won’t have

  • Global execution from 20+ managed locations
  • AI-powered root-cause analysis / agentic checks
  • Private locations run from your infra (managed by vendor)
  • Integrated billing, SLA, and enterprise support
  • Polished UI, dashboards, and built-in status pages

What remains hard

  • Brand trustWorld-class engineering and SRE teams depend on Checkly to deliver reliable digital experiences
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 2 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted synthetic monitoring service using Node.js + TypeScript, Playwright, PostgreSQL, and a small VPS (or single AWS t4g.micro). In scope: (1) HTTP check runner with scheduling (cron or worker queue), (2) Playwright-based browser check runner supporting multi-step flows, (3) results storage in Postgres and simple metrics (uptime, p95), (4) alerting via Slack and email with retry/debounce, (5) a basic status page showing current check states and recent history. Out of scope: distributed global execution from 20+ regions, enterprise billing, AI root-cause analysis, private locations, and polished dashboards. Provide structured error handling, retries, idempotency, and unit/integration tests for runners and alerting paths.
How we checked4 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page