Performance Issues Surface After Go-Live.
The three failure modes that derail go-live day — and how performance testing prevents them.
Staging Doesn't Match Production
Load profiles in staging underestimate peak concurrency, data volume, and integration latency. Systems that pass staging benchmarks collapse under real-world traffic patterns. Independent performance testing designs load scenarios based on actual production metrics — not optimistic estimates.
Performance Defects Found Too Late
When performance issues are discovered at go-live, the fix options are limited and expensive. Emergency infrastructure scaling, hotfixes under pressure, or delayed launches. Catching response-time and capacity issues in pre-production costs a fraction of remediation after launch.
Wrong Tool for Your Architecture
JMeter is often the default — even when k6, Gatling, or Locust would be better suited to your microservices or event-driven architecture. Resync has no tool to sell. We select based on your stack, team capability, and test objective — not certification agreements.
How Resync Approaches Performance Testing
Performance testing fails when scenarios don't reflect reality. Resync designs load profiles based on your actual traffic patterns, peak concurrency estimates, and integration dependencies — not a textbook template. We model your most critical user journeys and the infrastructure they traverse.
Every performance engagement starts with a baseline measurement, establishes clear acceptance thresholds, and iterates through load, stress, spike, and endurance test phases. Results are presented in terms of business impact — not raw millisecond counts — so engineering and programme leadership can make informed go/no-go decisions.
Independent performance testing means you get an objective view of system readiness — not a vendor's optimistic assessment of their own platform.
What We Test
Full performance testing coverage from baseline measurement to production readiness validation.
Load Testing
Establish realistic baseline performance under expected user concurrency. Identify response time thresholds and server resource consumption at typical load levels.
Stress Testing
Push beyond normal load to find the system's breaking point. Understand failure modes and degradation behaviour under peak and above-peak concurrency.
Endurance Testing
Validate system stability under sustained load over extended periods. Identify memory leaks, connection pool exhaustion, and slow performance degradation that only emerge over time.
Spike Testing
Simulate sudden, sharp increases in concurrent users to validate auto-scaling behaviour, queue handling, and recovery time. Critical for event-driven and promotional peak traffic scenarios.
Browser Performance
Measure real user experience metrics (Core Web Vitals, TTI, LCP) across key user journeys. Identify frontend bottlenecks separate from backend latency.
API Load Testing
Validate API gateway capacity, rate limiting behaviour, and service-level agreement compliance under concurrent API consumer load.
Tool Independence
We Script for Your Real Traffic Pattern.
Not a Template.
Most performance testers use the same JMeter scripts adapted for every client. Resync designs load scenarios from your actual analytics data, your infrastructure topology, and your peak traffic events. The tool — whether k6, JMeter, Gatling, or Locust — is selected to fit your architecture, not our existing expertise.
Why Resync for Performance Testing?
Independent. Scenario-first. Results that go to programme leadership, not just engineers.
Truly Independent
No vendor relationships. No tool sales targets. We're accountable only to you — which means our findings are always honest.
NZ-Based Specialists
Our QA teams are embedded in New Zealand. That means faster mobilisation, no timezone friction, and specialists who understand the local regulatory and technology landscape.
Capability Transfer Included
Every engagement includes documentation, training, and hands-on knowledge transfer. When we leave, your team is stronger — that's the point.
Frequently Asked Questions
What programme directors and architects typically ask before engaging Resync for performance testing.
Q.How do you design realistic load scenarios for NZ-based systems?
Resync works from your production analytics (peak concurrent users, session duration, transaction volumes) combined with your infrastructure topology. For pre-launch systems with no production data, we use traffic models from comparable NZ government or enterprise deployments and validate against your capacity planning assumptions.
Q.Can you test performance of cloud-hosted systems (AWS, Azure)?
Yes. Resync's performance testing covers cloud-native systems on AWS and Azure, including auto-scaling validation, CDN effectiveness, and multi-region latency. We coordinate with your cloud ops team to ensure test traffic is appropriately identified and doesn't trigger false security alerts.
Q.What's the difference between load testing and stress testing?
Load testing establishes how your system performs under expected peak concurrency — measuring response times, throughput, and resource consumption at normal-to-high load. Stress testing deliberately exceeds normal load to find where the system breaks, how it fails, and whether it recovers cleanly. Both are necessary for a complete performance risk assessment.
Q.How quickly can you mobilise a performance testing team?
Resync can typically mobilise an initial performance assessment within 2 weeks of engagement. Full test scenario design and scripting takes 3-4 weeks depending on system complexity. We integrate into your existing testing cycle rather than running as a standalone phase.