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Performance Load Test Simulator

Build a professional load test scenario in under a minute: VUs, ramp-up, plateau, traffic distribution and expert performance & cloud tips.

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📖

Quick glossary

VU (Virtual User)

Virtual user simulated in parallel by k6/JMeter/Gatling. Load metric #1.

Ramp-up

Progressive climb from 0 → target load. Gives autoscalers time to react.

Plateau

Load held at target. Where you measure stability and SLOs.

P95 (latency)

95% of requests answer faster than this. Better than average for UX.

P99 (latency)

Catches the slowest requests (cold-starts, GC pauses, locks). Reveals anomalies.

RPM / RPS

Requests per minute (or per second). Effective throughput absorbed by the system.

Throughput

Volume of requests handled over time. Measure on plateau, not peak.

SLO

Service Level Objective. Numeric target to honor (e.g. P95 ≤ 500ms, errors ≤ 1%).

🧩

Project context

The more specific the context, the sharper the advice

Everything flows through a single deployable. Typical bottlenecks: shared DB, locks, transactions too wide.

Load parameters

Set the target load and duration

Total VUs500 VU
Ramp-up duration5 min
Plateau duration15 min
Actions/min per user6
🎯

User scenarios

Percentages must sum to 100% (current: 100%)

#1
Traffic share: 75%
VUs: 375Actions: 2250/min
#2
Traffic share: 20%
VUs: 100Actions: 600/min
#3
Traffic share: 5%
VUs: 25Actions: 150/min

Estimated total volume

~52 500

over 20 min (ramp-up + plateau)

Target load

500

Throughput

3 000/min

Total duration

20 min

% coherence

100%

Total at 100%

Per-scenario breakdown

search-cart375 VU · 2250/min
checkout100 VU · 600/min
signup25 VU · 150/min
📊

Go pro in the Timint app

Analyse results (P95/P99, errors, score), get expert remediation tips, and generate a styled PDF audit report.

✅ Auto-computed performance score

✅ Expert performance & cloud advice

✅ PDF report with charts + profile save

📈

Detailed shot plan

Total and per-scenario load at each ramp-up step, then on plateau

PhaseTimingTotal VUTotal req/minsearch-cart
(75%)
checkout
(20%)
signup
(5%)
Ramp-up step 1/4 (25%)T+1.3 min12575094 ·56325 ·1506 ·38
Ramp-up step 2/4 (50%)T+2.5 min2501 500188 ·1 12550 ·30013 ·75
Ramp-up step 3/4 (75%)T+3.8 min3752 250281 ·1 68875 ·45019 ·113
Ramp-up step 4/4 (100%)T+5.0 min5003 000375 ·2 250100 ·60025 ·150
Sustained plateauT+520 min5003 000375 ·2 250100 ·60025 ·150
Estimated volume: ~7 500 actions during ramp-up + ~45 000 actions during plateau = ~52 500 requests total.
⚠️

Risks per critical service

4 service(s) checked — each exposed service has its own risk profile

RiskAuthentication

Auth saturation = session blocks and refresh-token loops. Watch: users-table DB pool, JWT cache, /login throttling.

RiskSearch

Search latency → instant cart abandonment. Bottlenecks: Elasticsearch / Algolia indexes, facet queries, full-text scans.

RiskCheckout

Checkout failure = direct revenue loss. Measure the full funnel (cart → shipping → payment → confirmation).

RiskPayment

PSP error = lost payments or double charges. Idempotency keys are mandatory, PSP A → B failover in < 60s.

🏛️

Expert recommendationsMonolith

DevOps, SRE and Solution Architect tips tailored to your architecture

🛠️

🛠️ DevOps & Cloud scale

  • Profile the 10 most expensive endpoints before the test (APM: Datadog, NewRelic, Sentry Performance)
  • Enable DB slow query log and archive it during the test for post-mortem analysis
  • Provision +30% CPU/RAM during the test if stateful — otherwise scale horizontally with round-robin LB
  • Freeze deployments and disable cron jobs during the test window
⚙️

⚙️ SRE / Platform

  • Define the 4 golden signals BEFORE the test: latency, traffic, errors, saturation
  • Alert on SLOs (P95, error rate), not raw CPU thresholds
  • Prepare a read-only degraded DB mode in case of unexpected saturation
  • Test rollback of the previous deployment in under 5 minutes
🏛️

🏛️ Solution architect

  • Identify bounded contexts (DDD) to prepare a potential split into modular monolith
  • Progressively move heavy jobs (PDFs, emails, exports) to a queue + worker
  • Externalize sessions to Redis before scaling horizontally (stateless first)
  • Measure operational cost per feature to target the next split
🎯

Expert advice tailored to the projectE-commerce

Recommendations specific to the business constraints of your project type

Long cache on product pages (edge + CDN), targeted invalidation from PIM
Short Redis lock on stock decrement to prevent overselling
Move transactional emails out of the sync path (queue + dedicated worker)
Idempotency keys on order creation + payment capture
PSP A → PSP B failover plan in < 60s in case of incident
Prepare for peaks (BF, sales) with a test ≥ 5× average traffic
📦

Ready-to-copy k6 code

Script auto-generated with your parameters + scenarios + SLO thresholds

import http from 'k6/http';
import { sleep, group } from 'k6';

export const options = {
  stages: [
    { duration: '1.3m', target: 125 },
    { duration: '1.3m', target: 250 },
    { duration: '1.3m', target: 375 },
    { duration: '1.3m', target: 500 },
    { duration: '15m', target: 500 },
  ],
  thresholds: {
    http_req_duration: ['p(95)<500', 'p(99)<1500'],
    http_req_failed:   ['rate<0.01'],
  },
};

export default function () {
  group('search-cart', () => {
    // 75% du trafic — 375 VU cible · 2250 req/min
    // TODO: implement requests for the search-cart scenario
  });
  group('checkout', () => {
    // 20% du trafic — 100 VU cible · 600 req/min
    // TODO: implement requests for the checkout scenario
  });
  group('signup', () => {
    // 5% du trafic — 25 VU cible · 150 req/min
    // TODO: implement requests for the signup scenario
  });
  sleep(10.0);
}

Pre-shot checklist

Tick before launching to avoid false alarms

#1Isolated test accounts (no mix with real users)
#2Representative test catalog / data (size, distribution)
#3Monitoring active: dashboards ready + alerts on key SLOs
#4Structured logs and trace ID propagated across all hit services
#5PSP in sandbox mode + 3DS test mode enabled
#6Freeze deployments and disable crons during the window
#7Hosting / cloud provider notified about the test (capacity + budget alerts)
#8Rollback plan ready and tested: < 5 min to revert to previous state
🔗

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Timint insight

A well-scoped load test costs 10x less than a production outage. Plan it here, run it with your tool (k6, JMeter, Locust), then analyse the results in the Timint app to get a ready-to-share audit report.

Timint Smart Tips

AI
💳

Payment service selected: use the PSP sandbox and plan for 3DS retries / idempotency keys.

🛒

E-commerce with search: index popular facets and enable a short cache on hot queries.

📲

Download the Timint app to analyse results and generate a styled PDF audit report.

📱

In the Timint app: get personalized real-time advice with our financial AI, based on your complete profile and goals.

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