github.com/acme/checkoutCheckout database pool becomes the limiting resource above this point.
- launch target
- 150 req/s
- p95 at limit
- 238 ms
- CPU headroom
- 38%
Connect a GitHub repository. CapacityLab prepares a realistic workload, runs it against the target defined in the methodology, and returns reproducible evidence your team can act on.
Explicit methodology · linked evidencegithub.com/acme/checkoutCheckout database pool becomes the limiting resource above this point.
Railway cost model
Pick the closest product shape and move one traffic slider. The model converts demand into a Railway envelope and monthly estimate.
SaaS application assumes 8 active hours/day, average traffic at 55% of peak, and 0.75 MB of public origin egress per user.
Pricing
Every plan includes a monthly budget for Runs; each Run shows its exact price before you confirm it. Plans renew automatically until cancelled — cancel online from Settings → Billing.
$20 / month
The plain plan: everything a Run needs, evidence kept 30 days.
$100 / month
Longer retention: raw test output and evidence kept a full year.
$500 / month
SSO (OIDC; SAML on request) and priority support with a shared channel.
Sign in to the console, confirm the plan, and Polar's checkout shows the final amount and taxes before you pay. Full pricing, refund & cancellation terms.
Talk through your workload
Bring a repository, a traffic question, or a Railway bill you do not trust yet.
One controlled loop
The application stays the target. Test infrastructure stays in support.
Map the user operations and traffic shape that matter.
Run controlled load and faults against the declared target.
Return the limit, bottleneck, cost, and linked evidence.
Traceable by design