Performance Testing

Performance & Load Testing Services in Australia

OpenMalo validates that your web applications, APIs, and mobile backends perform reliably under realistic and peak traffic conditions — using Apache JMeter and k6 to identify bottlenecks, capacity limits, and failure modes before your users discover them. Our Melbourne engineers close the loop between measurement and improvement — finding performance issues and fixing them.

60%Avg Performance Improvement
200+Applications Load Tested
99.9%Uptime Achieved Post-Testing
13+Years Experience
9:41 Dashboard Good morning, OpenMalo AU Projects 300+ Clients 180+ Rating 4.9 Weekly Activity Active Projects iOS Banking App AI Dashboard Tech Stack React Flutter AI Node.js Python Swift Kotlin Client Satisfaction 99% 🚀 On-time Delivery 13+ yrs exp 🔒 NDA Protected Your IP is safe always ✓
⚡ Load & Stress Testing
📊 Bottleneck Analysis
🔧 Optimisation Focused

Performance Testing Services That Prevent Production Failures

Load testing under expected production traffic

JMeter and k6 load tests simulating expected concurrent user volumes — validating response times, throughput, and error rates under normal operating conditions with Datadog or New Relic APM instrumentation.

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Stress testing to find the breaking point

Pushing your application beyond expected load to identify the failure threshold and understand graceful degradation behaviour — essential for capacity planning and incident response preparation.

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Spike testing for product launches and campaigns

Simulating sudden high-traffic events — product launches, viral campaigns, Click Frenzy, and government announcements — to validate auto-scaling behaviour and graceful degradation under rapid load increases.

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Endurance testing for memory leak detection

Extended duration load tests (4–24 hours) detecting memory leaks, thread pool exhaustion, database connection pool depletion, and progressive performance degradation under sustained load.

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Bottleneck analysis with APM tools

Deep root cause analysis of load test results using Datadog, New Relic, and Dynatrace APM traces — identifying slow database queries, N+1 problems, unoptimised API calls, and infrastructure capacity constraints.

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Core Web Vitals and front-end performance audit

Google Lighthouse, WebPageTest, and Chrome DevTools analysis targeting LCP < 2.5s, INP < 200ms, and CLS < 0.1 — with specific render-path optimisation recommendations for each failing metric.

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Cloud auto-scaling validation on AWS and Azure

Load tests designed to trigger AWS Auto Scaling and Azure VMSS scaling events — validating scaling response times, capacity adequacy, and cost efficiency under production traffic patterns.

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Performance testing reports with remediation plan

Detailed reports covering response time percentiles (p50, p95, p99), error rates, throughput trends, and APM trace analysis — with a severity-prioritised remediation roadmap and re-test validation.

Performance Engineers Who Fix Problems, Not Just Find Them

Most performance testing services deliver a Grafana dashboard and a report. We deliver improvements. Our engineers analyse JMeter and k6 load test results using Datadog or New Relic APM, identify root causes of bottlenecks to the specific slow query or unoptimised API call, implement fixes — query index optimisation, Redis caching, connection pool tuning, CDN configuration — and re-test to validate the improvement before project close.

We have load tested eCommerce platforms ahead of Click Frenzy and Black Friday, validated SaaS platforms at enterprise scale against Fortune 500 client traffic, and prepared Australian government portals for high-concurrency legislative launch events. Our load profiles are modelled from real production traffic data — not generic ramp patterns — producing test results that accurately predict production behaviour.

Fix-focused: bottleneck identification AND implementation of optimisations
Realistic k6 load profiles modelled from actual production traffic and GA4 data
Database query analysis with EXPLAIN ANALYZE and pg_stat_statements
Redis caching strategy and connection pool tuning experience
AWS Auto Scaling and Azure VMSS scaling validation and configuration
Grafana dashboards and k6 Cloud reporting for full test visibility

Discuss Your Performance Testing Needs

Tell us about your project and we'll respond within 24 hours.

Performance Validation for Every System and Traffic Pattern

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Web Application Load Testing

API and frontend load testing for web applications with Datadog APM instrumentation and Core Web Vitals optimisation.

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eCommerce Peak Traffic Testing

Shopify, WooCommerce, and Magento load testing ahead of Black Friday, Click Frenzy, and major campaign launches.

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API Performance Testing

k6 and JMeter API throughput, latency, and concurrency testing under realistic production load conditions.

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Mobile Backend Testing

Server-side performance testing for mobile application backends, WebSocket servers, and real-time API services.

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Enterprise System Testing

ERP, CRM, and enterprise platform performance validation under concurrent user loads modelled from actual usage data.

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Cloud Scalability Validation

AWS and Azure auto-scaling behaviour validation and capacity planning for cloud-native applications under variable load.

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Technologies We Use

Industry-leading tools and frameworks chosen for performance, scalability, and long-term maintainability.

Load Testing Tools
k6 Apache JMeter Gatling Locust Artillery
APM & Monitoring
Datadog New Relic Grafana AWS CloudWatch Dynatrace
Web Performance
Google Lighthouse WebPageTest Chrome DevTools GTmetrix
Database Profiling
EXPLAIN ANALYZE pg_stat_statements MySQL Slow Query Log Datadog APM Traces
Infrastructure
AWS Auto Scaling Azure VMSS Kubernetes HPA CDN Performance
Reporting
Grafana Dashboards k6 Cloud Custom HTML Reports Confluence

Our Performance Testing Process

01

Workload Modelling

We analyse production traffic in GA4 and server logs, define realistic k6 or JMeter load profiles, and model peak scenarios representing your highest-risk business events — product launches, campaigns, or seasonal peaks.

02

Environment Preparation

Test environment is validated as production-representative, Datadog or New Relic APM is configured, database query logging is enabled, and baseline performance measurements are established before load generation begins.

03

Test Execution & Monitoring

Load tests are executed with real-time monitoring across application, database, and infrastructure layers — capturing Datadog APM traces, database slow query logs, and infrastructure metrics simultaneously.

04

Analysis, Fixes & Re-Test

Root cause analysis identifies specific bottlenecks — slow queries, missing indexes, unoptimised API calls. We implement fixes, re-run load tests to validate improvements, and deliver a final report with before/after metrics.

Why We're the Right Partner for Performance Testing

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Proven Track Record

Consistently rated as a top technology company in Australia — backed by verified client reviews on Clutch and GoodFirms.

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NDA & IP Protection

We sign an NDA before any discussion. All IP belongs to you — no shared code, no reuse on completion.

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Full Transparency

Access to project management tools, weekly progress reports, and live sprint demos throughout delivery.

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Australian Based

Melbourne and Sydney offices with real people you can meet in your time zone. Invoiced in AUD.

Fast Delivery

Agile delivery with fortnightly demos so you see progress, give feedback, and stay in control at every sprint.

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Long-Term Partnership

We don't just deliver and disappear. Structured post-launch support and ongoing development partnerships available.

What Our Clients Say

★★★★★

"OpenMalo delivered exactly what we needed — on time, on budget, and with a level of quality that exceeded our expectations. The team communicated brilliantly throughout."

James Mitchell
CEO, HealthTrack Australia
★★★★★

"The technical quality and attention to detail from the OpenMalo team is outstanding. Our users love the end product and our business metrics improved significantly post-launch."

Sarah Robertson
Founder, Digital Ventures Melbourne
★★★★★

"Fast, reliable, and professional. OpenMalo understood our requirements immediately and delivered a solution that has genuinely transformed how we operate. Highly recommended."

David Kumar
CTO, TechForward Sydney

Recognised as a Top Technology Company in Australia

Clutch
Top Developer
Trustpilot
Verified Reviews
GoodFirms
Top Company
Google
Top Rated Agency

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Performance Testing FAQs

Common questions about our performance testing services.

Ask Us Anything →
What is load testing and why does my application need it?
Load testing simulates many concurrent users accessing your application simultaneously — validating that it performs acceptably under production traffic. Without it, you discover capacity limits when real users hit them, often during your highest-traffic business event.
How much does performance testing cost in Australia?
A focused load testing engagement starts from AUD $5,000. A comprehensive programme including load, stress, spike, and endurance testing with bottleneck remediation ranges AUD $15,000–$50,000 depending on system complexity.
When should I do performance testing?
Before major releases, before known traffic events (product launches, sale campaigns), when response times degrade in production, when scaling to new infrastructure, and periodically as a scheduled quality check — ideally quarterly.
What is the difference between load, stress, and spike testing?
Load testing validates performance at expected traffic levels. Stress testing pushes beyond expected load to find the breaking point. Spike testing simulates sudden, sharp traffic increases. Each reveals different failure modes and capacity characteristics.
Can you load test our Shopify store before a sale event?
Yes. We have specific experience load testing Shopify, WooCommerce, and Magento stores ahead of Black Friday and Click Frenzy — validating the full checkout flow, payment gateway integration, and inventory system under peak concurrent user loads.
What APM tools do you use to identify bottlenecks?
We instrument tests with Datadog, New Relic, or Dynatrace APM — providing distributed traces, database query analysis, and infrastructure metrics during load test execution, pinpointing bottlenecks to the specific query or code path.
Can you fix the performance issues you find?
Yes. Performance remediation is available as part of our service. We implement query index optimisation, Redis caching strategies, connection pool tuning, CDN configuration, and application-level optimisations — then re-test to confirm improvements.
How realistic are your load test scenarios?
We model k6 load scenarios from real GA4 traffic data — matching user journey distributions, session lengths, geographic patterns, and API call ratios to accurately simulate production behaviour, not generic ramp-up patterns.
What Core Web Vitals scores should my website achieve?
Google's "Good" thresholds are: LCP (Largest Contentful Paint) < 2.5s, INP (Interaction to Next Paint) < 200ms, CLS (Cumulative Layout Shift) < 0.1. We target 90+ PageSpeed scores and "Good" ratings across all three metrics.
Can you validate AWS or Azure auto-scaling behaviour?
Yes. We design k6 load tests specifically to trigger Auto Scaling events, validate scaling response times against your SLA, confirm scaled instances serve traffic correctly, and assess the cost efficiency of your scaling configuration.

Validate Your Application Performance Before It Fails in Production

Tell us about your application, traffic patterns, and upcoming events — we'll propose a performance testing plan within two business days.

📧hello@openmalo.com
📞+61 3 9999 0000
📍Melbourne & Sydney, Australia
Mon–Fri, 9am–6pm AEST

Our Presence in Multiple Locations

Local teams across Australia backed by a global delivery centre — giving you the best of both worlds.

Performance Testing Insights

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July 25, 2026

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