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ServiceLoad testing

Will your site crash under load? Know before users do

Find where your system breaks and ship specific fixes. I build scripts, rig, report, and the optimization plan.

Operate as an external perf squad: join fast, run tests, and own the result.

Not a one-off: I make load testing a habit and help your team level up quality.

Start in 72h

Join the project, design scripts, and launch first runs quickly.

Production proof

Highload launches, peak sales, migrations. SLO-driven, budget-aware.

Report + plan

Metrics, bottlenecks, prioritized fixes, and quick wins list.

Assurance

Bottlenecks exposed

Realistic load
Scenarios mirror real user flows
Capture p95/p99, errors, and traffic budget
Profile CPU/IO, DB/cache/queues

Availability

3 slots in the next 2 weeks

Limited parallel projectsBook a slot
Next slot closes in 48h — reserve while it's open.

How it runs

Process: from goals to rerun

Transparent steps: metrics locked, progress visible, support after the report.

  1. 1

    Diagnosis (Day 1)

    Clarify targets: tps/rps, SLO/SLA, geo, traffic profile. Check access, metrics, and flows.

  2. 2

    Scripts & rig

    Write scenarios (k6/Locust/JMeter), spin up cloud rig, wire monitoring and logs.

  3. 3

    Runs & measurements

    Ramp load, capture profiles, record degradations, and catch errors.

  4. 4

    Report & fixes

    Metrics snapshot, top bottlenecks, quick wins, and prioritized optimization plan.

  5. 5

    Follow-through

    Support applying fixes, reruns, metric checks, and the final release.

DeliverablesEverything handed off
  • k6/Locust/JMeter scripts + how-to
  • Report with charts and conclusions (PDF/Notion)
  • Fix list with effort and quick wins
  • Load rig and monitoring configuration
  • Reruns after fixes (habit-forming cadence)

Proof

50k+ RPS

for a marketplace on Black Friday

< 200 ms

p95 after API optimizations

-30% cost

after infra right-sizing

Battle-tested

Handled products where downtime costs tens of thousands per hour.

FinTech

E-commerce

SaaS

Gaming

Case

Found a memory leak costing $20k

A marketplace saw latency spikes with user growth. Load run showed memory creep from cache. Fixed, reran — p95 back to 180ms, infra spend -18%.

Diagnosis + scripts in 3 days
3 bottlenecks: cache, DB, LB
Rerun to prove fixes
Savings via right-sizing

FAQ

Addressing concerns upfront

Quick answers to common questions to help you decide.

What if the test finds nothing?

I still deliver 3–5 growth points. Worst case: confirmation with metrics and a clean bill of health.

Do you need production access?

No. I work on an isolated staging environment with limited-time access and test data.

How long does it take?

First runs within 72 hours. Full cycle with recommendations and rerun: 1–2 weeks.

Will you help implement fixes?

Yes, I support applying fixes and perform a rerun to validate the improvement.

Ready

Tell me about your system — I'll lock a slot and start

I'll share traffic cost, risks, and first hypotheses even before the main run.