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Specification QAT·104

QAT · QA & Test Automation Defined scope Fixed fee

Load and Performance Test Run

k6 load testing that finds your breaking point and the component that fails first, so capacity problems are fixed before peak traffic.

Fee · GST incl.
₹24,999
Duration
12 working days
Deliverables
7

01 Overview

Finding out during a sale that your connection pool tops out at 20 is an expensive way to learn. We build a traffic model from your analytics, including the real ratio of browsing to checkout, and drive it with k6 against an environment that resembles production. Load keeps climbing until a component gives way, and we name it, whether that is a slow query, an exhausted thread pool or a payment gateway rate limit. The result is your breaking point in requests per second, the bottlenecks in ranked order, and concrete fixes with the improvement each should bring.

02 Deliverables

7 items

What you receive at handover

  1. D01 Load model based on your real traffic patterns and expected peaks
  2. D02 k6 or JMeter scripts that you keep and can run again yourself
  3. D03 Baseline, peak, stress and soak test runs with complete metrics
  4. D04 Breaking point stated in requests per second and concurrent users
  5. D05 Analysis of bottlenecks in the application, database, cache and infrastructure
  6. D06 Optimisation recommendations in priority order, each with its expected gain
  7. D07 Capacity plan matched to your projected growth

03 Outcomes

What should be true once it ships

  • Capacity decisions rest on measurement rather than instinct
  • The first component to fail is known before customers encounter it
  • Reusable scripts let you check every future release the same way

04 Process

How the 4 stages run

  1. Model Traffic profiles are built from analytics and business expectations
  2. Prepare The environment is sized, monitoring instrumented and scripts written
  3. Run A baseline, then progressive load up to failure, then a soak test
  4. Analyse Bottlenecks are identified and recommendations quantified

05 Fit & inputs

A good fit for

  • Businesses facing seasonal or campaign-driven traffic peaks
  • Products that become noticeably slower during business hours
  • Teams deciding how much infrastructure a launch will need

What we need from you

  • An environment close to production that we may load until it fails
  • Access to your monitoring, or permission to add instrumentation
  • Traffic data, or a realistic estimate of expected peak load

These inputs are collected through the technical brief in your dashboard after payment. The duration is counted from when they arrive.

06 Answers

Questions about this engagement

Only with strict limits, outside peak hours and with your explicit agreement. A staging environment that mirrors production is safer and more informative.

We extrapolate with clear caveats and state the uncertainty. A tenth-size environment shows the shape of the problem, not the absolute limits.

Not in this engagement. Optimisation work is quoted separately once the bottlenecks are known.

This is technology work delivered digitally — nothing is shipped. Work is delivered into systems you control within the duration stated above, and the delivery and refund policies set out what happens if a date is missed.

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Playwright browser tests for your critical user journeys, running in CI and built to stay stable, so regressions stop reaching customers.

Playwright suite of around 40 scenarios covering your critical journeys

Fixed fee · GST incl.

₹34,999

Duration

20 working days

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QAT — QA & Test Automation QAT·105

Mobile App Device Test Cycle

Manual testing of your Android and iOS app on 15 real devices chosen from your analytics, so releases work on the phones customers own.

Manual testing on 15 real devices that reflect your actual user base

Fixed fee · GST incl.

₹16,999

Duration

8 working days

View scope

GST included

₹24,999

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