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Load testing before traffic spikes and releases

We exercise HTTP/APIs with realistic and aggressive patterns: RPS ramps, bursts, dependency saturation. You get numbers, charts, and an actionable backlog.
Request a test plan & quote

What we cover

Web & APIs

Go, Node, Python, Java services — REST, gRPC, WebSocket — with auth, caches, and realistic client mixes.

Prod-like infra

Same Kubernetes/VPC/load balancers as production (or an isolated 1:1 staging environment) so results map cleanly.

Observability

Tie load to RED/USE, traces, and logs so bottlenecks are identifiable, not guessed.

How we work

  • 1.

    Goals & SLO: target RPS/latency/error rates and the business-critical scenarios.

  • 2.

    Load model: request mix, think time, warm caches, DB and background workers included.

  • 3.

    Stepwise runs and optional soak/failure testing: saturation points, errors, tail latency.

  • 4.

    Report & workshop: prioritized fixes — code, pools, indexes, rate limits, autoscaling.

Deliverables

  • Versioned k6 scripts (or equivalent) with run instructions.
  • Tables & charts for RPS, latency, errors, CPU/RAM/IO over phases.
  • Ranked bottleneck list with impact vs. effort.
  • Alert threshold & dashboard recommendations for your stack.

Pricing & format

A typical engagement spans several days of engineering time plus environment setup. Price depends on services covered, environment parity, and report depth. Retainer-style “load in CI” is available for frequent releases.

We don’t promise magic RPS numbers upfront — we measure the current ceiling, then re-run after fixes.

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Load testing FAQ

Controlled load shape, full-stack metrics, and reproducible scenarios — it’s an engineering experiment with conclusions, not a single ping.

Usually not. We prefer staging or tightly constrained windows. Production-only tests need explicit risk acceptance.

Most often k6 or whatever fits your CI. Your Prometheus/Grafana/ELK — as you already run.

Roughly 1–2 calendar weeks including access & environment: goals → scripts → runs → report.

Yes — as a follow-up: code, infra, indexes, caches, limits. Extends into our high-load or outstaffing engagements.

We validate rate limits and resilience to abusive traffic patterns — not unlawful third-party DDoS testing.

Know your real headroom before the marketing spike

Tell us about the product and target numbers — we’ll propose a test plan and transparent estimate.
Talk to an engineer