Performance & Load Testing

Performance & Load Testing

We plan and run performance and load tests so you understand how your system behaves under stress and at scale. Whether you are preparing for a launch, a spike in traffic, or a migration, we help you define scenarios, choose tooling, and interpret results so you can fix bottlenecks and set baselines.

What We Cover

• Scenarios — Concurrent users, throughput, spike tests, and soak tests: what to simulate and how to interpret results in the context of your architecture and traffic patterns.
• Tooling — k6, Artillery, Lighthouse, or other tools aligned with your stack (APIs, frontends, serverless) and with your CI or on-demand workflow.
• Baselines and trends — Setting baselines (e.g. response time, error rate) and tracking performance over time so regressions are visible before they hit production.
• Bottlenecks — Identifying and prioritising fixes (database, network, CPU, memory) so you can improve where it matters most.

Load Profiles and Scenarios

We help you define realistic load profiles: how many concurrent users or requests, over what duration, and with what pattern (ramp-up, steady, spikes). We also consider soak tests (sustained load over hours) to surface memory leaks or degradation over time. Scenarios are tailored to your product—e.g. read-heavy vs write-heavy, or specific critical endpoints.

Metrics to Watch

Typical metrics we track include response time (p50, p95, p99), throughput (requests per second), error rate, and resource usage (CPU, memory, connections). We help you decide which metrics matter for your SLAs and user experience, and how to alert or gate on them in Quality Gates in CI/CD or Cloud Native monitoring.

When to Run Performance Tests

Performance tests can run on a schedule (e.g. nightly), on demand before a release, or in CI with a lighter smoke load. We help you balance coverage and feedback speed so that performance regressions are caught without slowing down every commit.

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