Performance Testing

Performance testing services overview

Performance testing answers three different questions: how does the system behave under expected load (baseline), under sustained heavy load (soak), and under sudden spikes (burst). Each load shape needs its own test profile and its own SLO. Treating them as one job is the most common failure mode we inherit from previous teams.

Our load-generation stack: k6 (modern JavaScript-based, skill-shortage tool) for new projects, JMeter for legacy and customers with existing test investments, Gatling (Scala) for high-throughput scenarios where k6's per-VU overhead becomes the bottleneck. We run load generators from AWS Sydney (ap-southeast-2) for Australian customers so latency measurements reflect what end users actually see.

What is Performance Testing?

Performance testing is a type of software testing that determines how a system performs in terms of responsiveness and stability under a particular workload. It's not about finding bugs but about eliminating performance bottlenecks and ensuring the application meets specified performance criteria.

Types of Performance Testing

checkLoad Testing

Tests the system's behaviour under expected normal and peak load conditions to ensure it can handle the anticipated number of users.

checkStress Testing

Evaluates system behaviour under extreme load conditions beyond normal capacity to identify breaking points and failure modes.

checkScalability Testing

Determines the system's ability to scale up or down based on changing load requirements and resource availability.

Key Performance Metrics

  • Response Time: Time taken for the system to respond to user requests
  • Throughput: Number of transactions processed per unit of time
  • Resource Utilization: CPU, memory, and network usage under load
  • Concurrent Users: Maximum number of users the system can handle simultaneously

How We Run Performance Testing

Observability is the half of performance engineering people skip. We instrument every load test with Grafana + Prometheus or Datadog, capture trace samples with OpenTelemetry, and track results against published SLOs over time — not just per-release. Real regressions usually show up as slow drift across 4–6 sprints, not as one-off cliffs. Our reports compare current run against historical baselines so the question “did this PR regress P99?” has an answer before deployment.

For fintech-style customers — portfolio analytics, transaction systems — we add scenario-driven load profiles modelled on real production traffic shapes (peak-hour bursts, end-of-day batch processing, market-open spikes). For EUDR and supply chain platforms, the test profiles target the document-ingest and geolocation-validation paths where throughput matters most.

Want a performance test programme grounded in your real traffic shape?

Two ways in: book a 30-minute discovery call (better for CXOs scoping a project) or request a written test-strategy review of your current setup (better for CTOs and engineering leads who want a second opinion). Both are no-obligation.

Domain Proof Points

How We Test Industry-Specific Workflows

Tailored QA for offline, compliance, and data-heavy products across Australia/APAC and regulated regions.

Offline-Ready QACompliance-AwareAPAC Delivery Overlap
  • 01Offline-First Reliability

    PWAs with sync conflict testing, retries, and field-data integrity for low-connectivity regions.

  • 02Traceability and Compliance

    EUDR-style traceability validation with source-to-batch links, geolocation checks, and evidence attachments that survive sync.

  • 03Locale and Language Coverage

    Multi-language survey and form testing with RTL/LTR layouts, locale toggles, and consistent data exports.

  • 04Connected Systems and Edge Accuracy

    Telemetry-heavy workflows validated for MQTT/CoAP payloads, backpressure handling, and dashboard accuracy under load.

  • 05Secure Finance Workflows

    Auth/session hardening, PII masking in test data, and audit-friendly logging across environments.

  • 06Release Readiness in APAC Windows

    Shift-left test planning and timezone-aligned execution to validate critical paths before go-live across Australia/APAC delivery windows.