Performance & Load Testing
Find out how your system behaves under real traffic before your customers do. We model realistic load, identify the bottlenecks and add performance checks to your pipeline so regressions are caught early.
What we cover
- Load, stress, spike and soak testing
- Realistic workload modelling from production traffic
- API, web and message-driven system performance
- Bottleneck analysis together with your developers and ops team
- Performance budgets and thresholds enforced in CI
- Frontend performance and Core Web Vitals checks
From first call to running tests
- 1
Discovery call
We look at your product, stack, current tests and release process, and agree on the outcome you need.
- 2
Audit & plan
You get a short written plan: what to automate first, the framework and pipeline design, and a fixed scope.
- 3
Build & integrate
We build the suite and pipeline in your repo in short iterations, with tests running in your CI early on.
- 4
Handover or run
We train your team and hand over, or stay on to maintain and extend the suite as your product grows.
Performance & Load Testing: common questions
When should we run load tests?
Before a launch or an expected traffic peak, after significant architecture changes, and continuously in a lighter form in CI so performance regressions are caught with the change that caused them.
Do you test in production?
Only by agreement. Most testing runs in a production-like environment; carefully controlled production tests are possible when that is the only representative setup.
Which tool do you recommend?
k6 for most teams, because scripts are code and it fits CI well. JMeter and Gatling are good choices when you already have assets or specific protocol needs.
Often combined with
API & Backend Automation
REST, GraphQL and gRPC test suites, contract testing between microservices, and database and event-driven validation.
Pytest, REST Assured, Postman
QA AI Pipelines & CI/CD
We design and integrate testing pipelines: parallel runs, smart test selection, flaky-test triage, AI failure analysis and quality gates on every pull request.
GitHub Actions, GitLab CI, Jenkins
QA Consulting & Audit
QA audits, test strategy, framework architecture and fractional QA leadership for teams that need direction before headcount.
Playwright, Pytest, k6
Tell us what you want to stop testing by hand
A few lines about your product, stack and biggest quality problem are enough. We will reply by email, usually within one business day, to set up a discovery call.
- No obligation, no sales script
- A concrete plan and a fixed scope
- NDA available on request
Or talk to us directly