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Simulatore di Test di Carico

Costruisci uno scenario di load test professionale in meno di un minuto: VU, ramp-up, plateau, distribuzione del traffico e consigli esperti.

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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%).

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Contesto del progetto

Più preciso il contesto, più affilati i consigli

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

Parametri del test

Imposta il carico target e la durata

VU totali500 VU
Durata del ramp-up5 min
Durata del plateau15 min
Azioni/min per utente6
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Scenari utente

La somma delle percentuali deve essere 100% (attuale: 100%)

#1
Quota di traffico: 75%
VU: 375Azioni: 2250/min
#2
Quota di traffico: 20%
VU: 100Azioni: 600/min
#3
Quota di traffico: 5%
VU: 25Azioni: 150/min

Volume totale stimato

~52 500

su 20 min (ramp-up + plateau)

Carico target

500

Throughput

3 000/min

Durata totale

20 min

Coerenza %

100%

Totale al 100%

Ripartizione per scenario

search-cart375 VU · 2250/min
checkout100 VU · 600/min
signup25 VU · 150/min
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Passa alla versione pro nell'app Timint

Analizza i risultati (P95/P99, errori, score), ricevi consigli esperti di rimedio e genera un report di audit PDF.

✅ Score di performance auto-calcolato

✅ Consigli esperti performance & cloud

✅ Report PDF con grafici + salvataggio profilo

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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.
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Risks per critical service

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

RiskAutenticazione

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

RiskRicerca

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).

RiskPagamento

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

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Expert recommendationsMonolite

DevOps, SRE and Solution Architect tips tailored to your architecture

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🛠️ 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
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⚙️ 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
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🏛️ 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
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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
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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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Insight Timint

Un load test ben progettato costa 10x meno di un'interruzione in produzione. Progetta qui, esegui con il tuo tool (k6, JMeter, Locust), analizza nell'app Timint per un report condivisibile.

Timint Smart Tips

AI
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Servizio pagamento selezionato: usa il sandbox del PSP e prepara retry 3DS / idempotency key.

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E-commerce con ricerca: indicizza le facet popolari e attiva una cache breve sulle query frequenti.

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Scarica l'app Timint per analizzare i risultati e generare un report PDF.

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