Product Hunt launches, investor demos, Black Friday traffic — they all hit at once. We simulate the spike before it happens, find the bottlenecks, and make sure your app stays up when it matters most.
30 minutes · Senior engineer · No commitment
Different traffic patterns reveal different problems. We run the right tests for your scenario.
Simulate your expected peak traffic to verify your app performs within acceptable response times under normal high load.
Push beyond your expected limits to find the breaking point. Know exactly when and how your app fails.
Simulate sudden traffic surges — the Product Hunt effect, a viral tweet, a press mention. Does your app handle it?
Run sustained load over hours to find memory leaks, connection pool exhaustion, and gradual performance degradation.
Test with large datasets to find database query performance issues that only appear at scale.
Lighthouse audits, Core Web Vitals measurement, and bundle size analysis for frontend performance optimization.
These are the moments where performance testing pays for itself ten times over.
Product Hunt, AppSumo, or a major press feature. You have one shot — make sure the app stays up when the traffic hits.
eCommerce and SaaS products with seasonal spikes need to know their limits before the spike, not during it.
Nothing kills a funding round like a demo that crashes. We test before you pitch.
Getting featured by Apple or Google sends a massive traffic spike. Be ready for it.
QA gaps show up as regressions, store rejections, and security findings — usually right before launch.
Manual smoke tests can't keep pace with weekly releases.
Lovable and Cursor prototypes reach staging without auth or edge-case coverage.
Mobile flows break on OS versions QA didn't cover.
Testing in launch week makes fixes expensive and stressful.
Manual, Cypress/Playwright, API, k6 performance, and security testing.
We harden vibe-coded apps before production traffic.
Code review from seniors who build Laravel, React, and Flutter daily.
Go/no-go reports with severity-rated bugs — not vague pass/fail.
OWASP-focused web and API tests; pen testing available.
Read-only repos; anonymized test data where required.
“What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.”
At-a-glance scope, pricing tiers, delivery timelines, engineering tradeoffs, and decision criteria for technical founders and product leaders.
Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.
Pricing depends on scope, integrations, and timeline. GreeLogix provides transparent fixed-milestone quotes after discovery, with flexible models for one-off audits, sprint retainers, or dedicated engineers.
Need to model sprint hours and coverage? Use our QA estimation calculator.
Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days. Phases: Strategy (Week 1); Execution (Per sprint); Automation (Parallel).
Compare delivery models, cost profiles, and engineering tradeoffs before committing resources.
| Option / Approach | Best When | Primary Tradeoff / Risk | Recommended Fit |
|---|---|---|---|
| Developer-only testing | Early prototype with no paying users yet | Developers tend to test happy paths; misses subtle regression side effects, UX edge cases, and cross-browser quirks. | Early pre-revenue prototypes |
| Crowdtesting platforms | One-off device coverage without domain context | Fragmented bug reports without codebase context, inconsistent reproducibility, and zero sprint continuity. | One-off device compatibility checks |
| Automated scanning only | Known stack with mature CI; catches syntax not workflow bugs | Catches syntax and linting issues but remains completely blind to workflow breakdowns and complex business logic errors. | Baseline CI static analysis |
| GreeLogix Pod | You need production release confidence, automated regression suites, and senior QA engineers embedded in your sprint. | Requires active product owner for weekly sprint reviews and scope alignment. | Production & Scaling (Recommended) |
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
Answers to the buyer questions we hear most before a project starts.
Load testing simulates real user traffic on your application to measure how it performs under expected and peak load conditions. We measure response times, throughput, error rates, and resource utilization to identify bottlenecks before they affect real users.
We primarily use k6 for modern API and web app load testing, JMeter for complex scenarios and legacy systems, Gatling for high-concurrency testing, and Google Lighthouse for frontend performance audits.
Before any major launch, before a marketing campaign or Product Hunt launch, before Black Friday or seasonal traffic spikes, and after significant architectural changes. If you're pitching to investors and they'll demo the product, run load testing first.
We establish your current performance baseline — response times, throughput, and resource utilization under normal load.
We design realistic load scenarios based on your expected traffic patterns and peak use cases.
Tests run with k6 or JMeter, generating detailed metrics on response times, error rates, and server resource usage.
Full performance report with bottleneck identification, capacity recommendations, and optimization priorities.
Tell us about your upcoming launch or traffic event. We'll design a load testing plan that gives you real confidence.
Case studies, guides, and free tools from the same engineering team.
Every type of testing your product needs — from manual audits to AI-app hardening and accessibility compliance.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.
You'll talk to Abuzer — the senior engineer who'll scope your build
Founder & Senior Engineer · Response within 4 business hours
Book a Free 30-Min CallResponse within 4 business hours · No commitment on first call