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모든 시뮬레이터

부하 테스트 시뮬레이터

1분 안에 전문적인 load test 시나리오를 구성: VU, ramp-up, plateau, 트래픽 분배, 전문가 조언.

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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%).

🧩

프로젝트 컨텍스트

컨텍스트가 정확할수록 조언이 날카로워집니다

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

테스트 파라미터

목표 부하와 지속 시간을 설정

총 VU500 VU
Ramp-up 시간5
Plateau 시간15
사용자당 분당 액션6
🎯

사용자 시나리오

퍼센트 합계는 100%여야 함 (현재: 100%)

#1
트래픽 비율: 75%
VU: 375액션: 2250/min
#2
트래픽 비율: 20%
VU: 100액션: 600/min
#3
트래픽 비율: 5%
VU: 25액션: 150/min

예상 총 볼륨

~52 500

20분 동안 (ramp-up + plateau)

목표 부하

500

Throughput

3 000/min

총 시간

20 분

% 일관성

100%

합계 100%

시나리오별 분해

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

Timint 앱에서 프로 버전으로

결과 분석(P95/P99, 오류, 스코어), 전문가 개선 조언, 스타일리시한 PDF 감사 보고서 생성.

✅ 자동 계산되는 성능 스코어

✅ 성능과 클라우드 전문가 조언

✅ 차트가 포함된 PDF 보고서 + 프로필 저장

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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 12575094 ·56325 ·1506 ·38
Ramp-up step 2/4 (50%)T+2.5 2501 500188 ·1 12550 ·30013 ·75
Ramp-up step 3/4 (75%)T+3.8 3752 250281 ·1 68875 ·45019 ·113
Ramp-up step 4/4 (100%)T+5.0 5003 000375 ·2 250100 ·60025 ·150
Sustained plateauT+520 5003 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

Risk인증

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

Risk검색

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).

Risk결제

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

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Expert recommendations모놀리스

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 project이커머스

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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Timint 인사이트

잘 계획된 load test는 운영 장애의 10분의 1 비용. 여기서 설계하고 도구(k6, JMeter, Locust)로 실행한 뒤 Timint 앱에서 분석하세요. 공유 가능한 감사 보고서를 받을 수 있습니다.

Timint Smart Tips

AI
💳

결제 서비스 선택됨: PSP 샌드박스를 사용하고 3DS retries / idempotency keys를 계획하세요.

🛒

이커머스 + 검색: 인기 facets을 인덱싱하고 자주 사용되는 쿼리에 짧은 캐시를 활성화.

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