01 · CAPABILITY
Test the backend that serves real pages
Exercise the HTTP requests that matter to navigation, search, checkout, login, or other high-value flows instead of measuring a static homepage alone.
WEBSITE LOAD TESTING
Find how much traffic your website can handle before users do.
Run controlled website load tests to expose latency spikes, error growth, and backend capacity limits before a campaign, launch, or traffic surge. Measure repeatable HTTP workloads without building a load-generation stack.
FREE TO START · No credit card · HTTP performance testing · Managed execution
TEST DESIGN
Start with the traffic event, not a vanity user count
01Campaign
What happens when a promotion lands in a five-minute window?
02Launch
Can the site absorb the first wave without queueing users?
03Steady peak
Where is the safe operating range for normal busy hours?
WHY THIS PAGE EXISTS
Know the safe operating envelope before a traffic spike.
Website load testing is most useful when it connects traffic to a decision: how much load can the application sustain, when does latency become unacceptable, which layer saturates first, and how much headroom remains for a launch or promotion? The goal is not a giant request number. The goal is a repeatable capacity boundary.
02 · CAPABILITY
Ramp traffic safely
Increase demand in controlled steps and stop automatically when latency or failures cross the limit you set.
03 · CAPABILITY
Watch degradation as it happens
Live charts make it easier to see the point where latency rises, errors start, or throughput stops scaling with demand.
04 · CAPABILITY
Re-test after infrastructure changes
Keep the workload stable after caching, database, CDN, application, or infrastructure changes so the before/after comparison stays useful.
05 · CAPABILITY
Prepare for launches and campaigns
Use a capacity run before known demand events, then leave enough headroom above expected traffic instead of planning exactly to the observed limit.
06 · CAPABILITY
Share the evidence
Export and share results so engineering, operations, and product teams can make the launch decision from the same performance data.
WORKFLOW
Turn a traffic forecast into a website-capacity plan.
Preserve the same page journeys, cache assumptions, think time, and request mix between runs. Change the traffic envelope deliberately so a capacity shift is attributable to the site, not to a different workload.
01
Pick the critical user path
Identify the backend requests behind the page or flow that matters most. Dynamic endpoints usually reveal useful constraints sooner than static assets.
02
Estimate expected demand
Translate expected traffic into a useful RPS or concurrency target. Start below that target, then ramp through it rather than beginning at maximum load.
03
Set a performance budget
Define p95 latency and error-rate limits. These guardrails tell you when the site is no longer delivering the experience you consider acceptable.
04
Find the knee of the curve
Increase demand until latency climbs sharply, errors rise, or throughput stops increasing. Correlate that moment with application and infrastructure telemetry.
05
Leave headroom and retest
Treat the observed limit as a boundary, not an operating target. Fix the bottleneck, rerun the same workload, and document the new safe envelope.
PRODUCT FIT
For websites, web apps, and HTTP backends
LoadTester is designed for HTTP performance testing, so teams can validate the backend behavior that determines whether a site remains responsive under demand. Start with a lightweight free check, then use higher-scale runs when you need a larger capacity test.
10Free VUs
50Free RPS
10kPremium VUs / RPS
IMPLEMENTATION GUIDE
Trying to estimate website capacity?
Use the capacity guide to translate visitors, pageviews, concurrency, and bottlenecks into a practical load test.
Open the supporting guide →OTHER SOLUTIONS
Choose the website scenario that matches the traffic risk.
FAQ
Website load-testing questions that change the capacity plan.
What does website load testing measure?
It measures how the HTTP services behind a website respond as demand rises. Common signals include response-time percentiles, throughput, error rate, and the load level where the system begins to degrade.
Is website load testing the same as browser performance testing?
No. Load testing focuses on server-side behavior under demand. Browser performance tools focus on client rendering, assets, and user-perceived page speed. They complement each other.
How many users should I test?
Base the test on expected traffic and concurrency, then include additional headroom. A useful test ramps through normal demand toward the capacity boundary rather than choosing an arbitrary huge user count.
Can I stop a test before it harms the target?
LoadTester supports thresholds and auto-stop. Set conservative limits and ramp gradually, especially when testing shared or production-like environments.
Find the website limit before the campaign, launch, or traffic event makes it expensive.
Use the free plan to establish a website baseline, then increase the traffic envelope as the forecast and launch risk become clearer.