Load Testing
Simulate realistic peak traffic to validate capacity and SLAs.
Team Extension
Performance Testing Services
Find the breaking point before your customers do — realistic load models, spike and soak testing, and root-cause analysis that names the bottleneck.
Built for your business
Know Your System Holds Up Under Load
From peak-traffic launches to API SLAs — we engineer performance test programs that find issues early and validate scalability.
Stress & Soak Testing
Push beyond capacity to find breaking points, and run long to expose leaks.
Spike Testing
Validate behaviour under sudden traffic from launches and campaigns.
Root-Cause Analysis
Correlate APM traces, logs and database telemetry to surface the real cause.
Frontend Performance
Lighthouse, WebPageTest and Core Web Vitals tuning for real-user performance.
Capacity Planning
Right-size infrastructure from real load-test data and growth forecasts.
What we deliver
Performance Testing Services We Offer
Start with the capabilities you need today. We define the scope, integrations, and acceptance criteria together before delivery begins.
Performance Test Strategy
SLA definition, traffic modeling, tool selection, and success criteria.
Load Testing
Realistic peak-traffic load tests with k6, JMeter, Gatling, or Locust.
Stress Testing
Push systems past capacity to find breakpoints and graceful-failure modes.
Soak / Endurance Testing
Long-running tests that surface memory leaks and slow degradation.
Spike Testing
Validate response to sudden traffic spikes from launches or promotions.
API Performance Testing
P50/P95/P99 latency under load, with assertions tied to SLAs.
Database Performance Tuning
Index review, query optimization, and connection-pool tuning.
Frontend Performance Audits
Lighthouse, WebPageTest, Core Web Vitals analysis and remediation.
Mobile App Performance
Battery, network, and memory profiling on real devices.
Capacity Planning
Sizing recommendations based on test data, growth, and seasonality.
CI Performance Gates
Automated performance tests run in CI with regression budgets.
Observability & APM Setup
New Relic, Datadog, Dynatrace, OpenTelemetry instrumentation.
From brief to delivery
A clear path from the first conversation.
A practical process with agreed milestones, regular reviews, and a handover your team can use.
- 01 /
Plan
Define SLAs, user journeys, traffic models, and success criteria.
- 02 /
Build
Test scripts, data, environments, and observability instrumented.
- 03 /
Execute
Run load, stress, soak, and spike scenarios with real-time observation.
- 04 /
Analyze & Tune
Identify bottlenecks, recommend fixes, and re-test until SLAs are met.
Tools of the trade
The right technology for the work.
We choose tools around your existing systems, requirements, and long-term maintenance needs. The final stack follows the project.
- Grafana k6
- Apache JMeter
- Gatling
- Locust
- Artillery
- BlazeMeter
- Datadog
- New Relic
- Dynatrace
- OpenAI
- AppDynamics
- OpenTelemetry
- Honeycomb
- Lighthouse
- WebPageTest
Before we begin
Your questions, answered.
What to know about performance testing services, from project scope to ongoing support.
01What is performance testing?
Performance testing measures how your system behaves under various loads — speed, scalability, and stability — using tools that simulate users and traffic.
02When should we run performance tests?
Before major launches, after architecture changes, on a periodic schedule, and as part of CI for performance-sensitive paths.
03Which tools do you use?
k6, JMeter, Gatling, Locust, Artillery, BlazeMeter for load — and APMs like Datadog, New Relic, Dynatrace, AppDynamics, Honeycomb for observability.
04How realistic are the tests?
We model real user behavior using analytics data, run from multiple geographies, and use realistic data and pacing.
05How do you find bottlenecks?
We combine load testing with APM, profiling, distributed tracing, and database telemetry to pinpoint slow services, queries, and code paths.
06Can you also fix the issues you find?
Yes. Our performance engineers can recommend and implement fixes — from query tuning to caching to infrastructure changes.
07Do you integrate performance tests into CI?
Yes. We add performance regression gates to CI for critical APIs and user journeys, with budgets and alerting.
08How do you use AI in performance testing?
GPT-4 generates first-draft k6/JMeter scripts from API specs, and Datadog/Dynatrace/Honeycomb AI features cluster anomalies + propose root causes from telemetry — humans verify before we report.
Keep exploring
The next pieces of your project.
Connected services, delivered by the same team.
A conversation is a good start
Let's talk about performance testing services.
Tell us what you want to build or improve. We will help clarify the scope, the approach, and the next step.