LOAD AND PERFORMANCE TESTING

Will your system hold the next peak?

We test your APIs and applications above your expected peak, find the bottleneck and retest until the fix works.

  • Tests generated from your OpenAPI, Swagger or Postman files
  • Black Friday, PIX, launches and seasonal peaks
  • A report managers understand, with the retest included

Load test report

EXAMPLE
goal 800 ms bottleneck: 1,200 users 0 500 1,000 1,500 2,000 0 1s 2s concurrent users
Before the fix After the retest

Expected peak

1,000 users

Bottleneck

1,200 users

Retest

up to 1,800

Cause: database connection pool exhausted. Fix: pool resized and an index added to the orders table.

Illustrative example. No client data.
20+ years testing software Porto Alegre and Edmonton, Canada SwiftQA + Locust and k6, from your API files Retest included
Service Pillars

The Zero-Defect Advantage

It's not about testing until the site crashes; it's about finding the weak point before your users do.

Shift-Left Performance

Integrating load tests into the initial development phase (CI/CD) to catch architectural flaws early, before they reach production.

[RESULT] Catch performance flaws before production

Precision Modeling

Realistic traffic models built from your real usage patterns and expected peaks.

[RESULT] Fewer production blind spots

Root Cause Identification

We don't just give you a report. We pinpoint the bottleneck, recommend clear fixes, then retest to confirm they work.

[RESULT] Fixes confirmed with a retest
Local Expertise

Services in Brazil

Performance and load testing built for the reality of digital operations in Brazil.

PIX and boleto peaks

We test your payment flow under your peak volumes, such as Black Friday and paydays.

Black Friday and seasonal dates

We model traffic for launches, campaigns and seasonal dates based on how your users actually behave.

Test data with the LGPD in mind

We use synthetic or masked data wherever possible and agree with you, before testing, where test data and results are stored.

Protocol Agnostic Engine

Traditional vs. Zero-Defect

Why the Zero-Defect approach outpaces standard break-testing.

Feature Traditional Load Testing Zero-Defect Load Testing (ZD)
Primary Goal Find the breaking point. Prevent the breaking point from being reached.
Timing Post-development (End of cycle). Continuous (Integrated in CI/CD).
Approach Reactive (Fix what breaks). Proactive (Design for performance).
Outcome Bug report. A tested, retested system and a report your managers can read.
Automated Root-Cause Analysis

The "Zero-Defect" Logic Flow

Our software acts as a validation gate. If criteria aren't met, we don't just fail the build; we pinpoint the bottleneck.

1
Analyze
Ingest current traffic patterns and API/WebSockets/legacy SOAP endpoints.
2
Model
Create a "Perfect World" performance profile and baseline.
3
Stress
Increase the load step by step, past your expected peak, until the first bottleneck appears.
4
Remediate
Pinpoint the bottleneck and recommend fixes (for example, a missing database index). AI helps the analysis; an engineer decides.
5
Retest
Run the same load again to confirm the fix works.
Contact Us

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