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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.

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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.

  • Load Testing

    Simulate realistic peak traffic to validate capacity and SLAs.

    • A traffic model from real analytics
    • Scripts in version control
    • Pass or fail against your SLAs
    Learn more

  • Stress & Soak Testing

    Push beyond capacity to find breaking points, and run long to expose leaks.

    • The breaking point, named
    • A 12-hour soak result
    • Leak and degradation findings
    Learn moreLoad alone never finds a leak; only time does

  • Spike Testing

    Validate behaviour under sudden traffic from launches and campaigns.

    • Spike scenarios per campaign
    • Recovery-time measurements
    • Autoscale recommendations
    Learn more

  • Root-Cause Analysis

    Correlate APM traces, logs and database telemetry to surface the real cause.

    • APM traces correlated with logs
    • The slow query, named
    • A fix list ordered by payback
    Learn more

  • Frontend Performance

    Lighthouse, WebPageTest and Core Web Vitals tuning for real-user performance.

    • Lighthouse and field-data audit
    • Prioritised fix list
    • Re-measurement after the fix
    Learn more

  • Capacity Planning

    Right-size infrastructure from real load-test data and growth forecasts.

    • Capacity model from real data
    • Growth and seasonality forecast
    • Right-sizing recommendation
    Learn more

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.

    Enquire about this

  • Stress Testing

    Push systems past capacity to find breakpoints and graceful-failure modes.

    Enquire about this

  • Soak / Endurance Testing

    Long-running tests that surface memory leaks and slow degradation.

    Enquire about this

  • Spike Testing

    Validate response to sudden traffic spikes from launches or promotions.

    Enquire about this

  • API Performance Testing

    P50/P95/P99 latency under load, with assertions tied to SLAs.

    Enquire about this

  • Database Performance Tuning

    Index review, query optimization, and connection-pool tuning.

    Enquire about this

  • Frontend Performance Audits

    Lighthouse, WebPageTest, Core Web Vitals analysis and remediation.

    Enquire about this

  • Capacity Planning

    Sizing recommendations based on test data, growth, and seasonality.

    Enquire about this

  • Observability & APM Setup

    New Relic, Datadog, Dynatrace, OpenTelemetry instrumentation.

    Enquire about this

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.

  1. Step 01

    Plan

    Define SLAs, user journeys, traffic models, and success criteria.

  2. Step 02

    Build

    Test scripts, data, environments, and observability instrumented.

  3. Step 03

    Execute

    Run load, stress, soak, and spike scenarios with real-time observation.

  4. Step 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

Your next step

Request a free consultation

A few details help us understand your goals and come prepared. Fields marked * are required.

How we use your details. We collect only what you enter here — your name, mobile number and email, and your company, budget and message if you add them — to reply to this enquiry, prepare a proposal and follow up about it by phone, email or WhatsApp. We don’t sell your data or use it for anything else. You can withdraw consent, or ask to see, correct or erase your data, at any time by emailing info@dawkiinfotech.com; if we don’t resolve a concern, you can complain to the Data Protection Board of India. Full details in our Privacy Policy.

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.

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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.

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