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Load Testing Automation

Introduction

This document outlines the procedures, tools, and objectives for performing load testing on our e-commerce solution. The aim is to ensure the system can handle high volumes of traffic and transactions efficiently, providing a seamless experience for end-users.

Objectives

  • Identify Performance Bottlenecks: Determine the maximum operational capacity of the application and pinpoint any weaknesses or limitations.
  • Ensure Reliability and Stability: Validate that the application can handle expected and peak user loads without crashing or becoming unstable.
  • Optimize Performance: Provide insights for tuning the system to enhance performance and user experience.
  • Monitor Resource Utilization: Assess CPU and memory usage under load to ensure efficient resource management.
  • Evaluate Autoscaling: Verify the effectiveness of autoscaling mechanisms in maintaining performance.

Scope

The load testing will cover the following key areas:

  1. HomePage Load
  2. Product Listing Page (PLP) Load
  3. Product Detail Page (PDP) Load
  4. Search Functionality
  5. User Management (Registration, Login/Logout, Profile, etc.)
  6. Checkout Process
  7. Basket and Promotions
  8. Various Page Loads (Header/Footer, CMS elements, etc.)
  9. Brands/Category/Collection Filters and Sorting
  10. Payment Methods and Fulfillment Processes

Tools and Environment

  • Load Testing Tool: To be decided
  • Application Environment: Fashion Store
  • Infrastructure: Azure

Test Plan

Test Scenarios

  1. HomePage Load Test

    • Objective: Ensure the homepage loads within acceptable time limits under varying user loads.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  2. PLP Load Test

    • Objective: Assess the performance of the product listing page under different user loads.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  3. PDP Load Test

    • Objective: Validate the loading performance of the product detail page.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  4. Search Functionality Test

    • Objective: Test the search functionality's performance and accuracy under load.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Search accuracy, Error rate, CPU utilization, Memory utilization

  5. User Management Tests

    • Registration, Login/Logout, Profile Management
    • Objective: Ensure user management functionalities perform well under load.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  6. Checkout Process Tests

    • Objective: Validate the performance of the entire checkout process, from cart to order completion.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  7. Basket and Promotions Tests

    • Objective: Assess the performance of the basket and promotional features under load.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  8. Various Page Loads

    • Objective: Test the load performance of different pages, including header, footer, and CMS elements.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  9. Brands/Category/Collection Filters and Sorting Tests

    • Objective: Ensure that filtering and sorting functionalities perform well under load.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

  10. Payment Methods and Fulfillment Processes

    • Objective: Validate the performance of various payment methods and fulfillment processes.
    • Users: 100, 500, 1000 concurrent users
    • Metrics: Response time, Throughput, Error rate, CPU utilization, Memory utilization

Test Execution

  1. Preparation:

    • Set up test environment and configure load testing tools.
    • Prepare test data and scripts for different scenarios.
    • Define performance benchmarks and acceptable limits for each scenario.

  2. Execution:

    • Run tests for each scenario as per the defined load levels.
    • Monitor system performance and capture relevant metrics.
    • Identify and document any performance issues or bottlenecks.
    • Monitor CPU utilization and memory utilization during tests.
    • Observe autoscaling events and document the conditions under which they occur.

  3. Analysis:

    • Analyze test results to identify trends and potential issues.
    • Compare performance against benchmarks and acceptable limits.
    • Generate detailed reports with insights and recommendations.
    • Compare CPU and memory utilization against standard benchmarks to evaluate efficiency.
    • Assess the effectiveness of autoscaling in maintaining performance.

  4. Optimization:

    • Collaborate with the development team to address any identified issues.
    • Implement optimizations and re-run tests to validate improvements.
    • Ensure that the system meets performance goals under expected and peak loads.

Reporting

  • Final Test Report: Comprehensive report detailing overall performance, identified issues, resource utilization, autoscaling events, and optimization recommendations should be shared with internal team memebers before and after every release.