Performance Testing

Find your breaking point before your users do

Home Performance Testing

Your App Works Fine – Until Everyone Shows Up at Once

Functionality testing answers one question: does it work? Performance testing answers the one that actually takes systems down: does it still work when ten thousand people hit it at the same time? Most teams find out the answer on the worst possible day – at launch, during a flash sale, the moment a campaign goes live – when the system buckles in front of every user who matters. We find out first, in a controlled environment, on your schedule. Incisive simulates real load before your users generate it, exposes the bottleneck while it’s still cheap to fix, and tells you exactly where your system breaks and why – long before production does.

How We Test Performance

We don’t run one generic “load test” and call it done. We run the test type that matches the risk: load testing to confirm you handle expected traffic, stress testing to find the exact point where you break and plan capacity around it, spike testing for sudden surges like a product launch or viral moment, and soak testing over long durations to catch the slow killers – memory leaks, growing queues, connection pools that quietly exhaust. We define KPIs tied to your real SLAs, test in a production-like environment, and interpret results through percentiles and service-level objectives – p95 and p99, not misleading averages. Our stack: k6 for modern cloud-native systems, JMeter where legacy protocols demand it.

AI-PREDICTIVE ANALYSIS

See the Degradation Before It Becomes an Incident

Most performance problems don’t arrive as a sudden crash – they creep. Response times drift up release over release, memory climbs slowly, a queue grows a little faster than it drains. Our AI layer analyzes performance trends across test runs and flags the slow degradations a single test in isolation would miss, predicting where you’ll hit a wall before you actually do. A senior engineer interprets the signal and tells you what to fix now versus what to watch. You stop fighting performance fires and start preventing them.

THE FULL TEST SPECTRUM

The Right Test for the Right Risk

A flash sale is not the same risk as steady growth, and neither is tested the same way. Load testing validates your expected peak. Stress testing pushes past it to find your true breaking point – because you need to know your ceiling before your traffic does. Spike testing simulates the sudden surge of a launch or a viral moment and measures how fast you recover. Soak testing runs for hours to surface what only appears under sustained load. We pick the tests that match your actual exposure, not a generic checklist.

BOTTLENECK DIAGNOSIS

We Don’t Just Tell You It’s Slow. We Tell You Why

A report that says “response time degraded under load” is useless on its own. The value is in the diagnosis: a database query that collapses past a certain concurrency, a connection pool that exhausts, an API call that serializes requests, a cache that isn’t doing its job. We instrument the system, isolate the actual constraint, and hand your developers a specific, actionable cause – not a graph and a shrug.

CAPACITY & SCALABILITY

Know Your Ceiling Before You Need It

When marketing plans a campaign or sales closes a deal that triples your users, “I think we can handle it” is not an answer. We run breakpoint tests to establish your true maximum capacity and validate how your system scales – whether adding resources actually buys you more headroom or just moves the bottleneck. You get hard numbers: how many concurrent users you support today, where you’ll break, and exactly what to provision before you get there. Capacity planning becomes data, not a gamble.

CONTINUOUS & RELEASE OWNERSHIP

Performance Tested on Every Release, Not Once Before Launch

Performance isn’t a one-time gate before go-live – every release can quietly reintroduce a regression. We integrate performance tests into your CI/CD pipeline so a slowdown is caught on the build that caused it, with results compared against your established baseline. As with everything we do, this is Release Ownership: we don’t hand you a one-off report, we own that your release performs under real conditions, backed by contractual deliverables and a written readiness report on a cadence that matches your release rhythm – weekly, per sprint, or before each deploy window. You always know whether this release is faster, slower, or holding steady.

FAQ

What's the difference between load, stress, spike, and soak testing?

Load testing checks you handle expected traffic. Stress testing pushes past that to find your breaking point and plan capacity. Spike testing simulates a sudden surge – a launch, a viral moment – and measures recovery. Soak testing runs for hours to catch slow problems like memory leaks and growing queues. Each exposes a different risk; we run the ones that match yours.

We're not at huge scale yet. Do we need performance testing?

If you have a launch, a campaign, a seasonal peak, or any growth ahead, yes – that’s exactly when systems break, and exactly when it hurts most. It’s far cheaper to find your ceiling in a test than to discover it live, in front of the users a campaign just paid to attract.

What does AI actually do in performance testing?

It analyzes trends across test runs to spot slow degradation – creeping response times, climbing memory – and predicts where you’ll hit a wall before you do. It surfaces the signal; a senior engineer interprets it and tells you what to fix. AI accelerates the analysis; the engineer owns the conclusion.

k6 or JMeter - which do you use?

Depends on your stack. k6 for modern cloud-native systems and APIs – it’s lightweight and scales to tens of thousands of virtual users efficiently. JMeter where legacy protocols like SOAP, JMS, or JDBC are involved. We choose the right tool for your architecture instead of forcing one.

Will you just hand us a report full of graphs?

No. The graphs are the start, not the deliverable. We diagnose the actual bottleneck – the specific query, pool, or call that constrains you – and give your developers an actionable cause with prioritized recommendations. A report nobody can act on is worthless.

How is this priced?

Never per hour. Performance testing is part of a dedicated QA engagement at a fixed monthly rate with contractual deliverables: defined performance KPIs, testing against baseline, prioritized bottleneck findings, and weekly reporting. You pay for a release that performs under real load, not for clocked hours.

Do you test in production?

No. We test in a production-like environment with realistic load profiles and user behavior, so results are accurate without risking live users or data. Where continuous production monitoring makes sense, we can advise on it separately.

Testimonials

Isla

CTO, eCommerce

“We were about to launch a campaign expected to triple our traffic and had no idea if we’d survive it. They found the database bottleneck that would have taken us down on day one – and told us exactly what to provision.”

4.0 rating
Jessica

VP Engineering, B2B SaaS

“Their soak testing caught a memory leak that only showed up after six hours of load. It would have crashed us in production over a weekend. Instead we fixed it in a sprint.”

5.0 rating
Lily

Head of Engineering, FinTech

“At peak transaction volume our payment system had to stay up, full stop. They stress-tested us to our real breaking point and gave us hard capacity numbers – not guesses.”

5.0 rating