Performance Testing Service

Performance testing service simulates massive concurrent user loads, performs end-to-end pressure analysis across the entire application stack, and delivers professional performance test reports with actionable insights.

Testing Services Test Planning and Strategy Test Cases & Execution Logs Defect Diagnosis and Root-Cause Analysis Test Report / Quality Assessment Report

 Key Challenges Addressed by Our Performance Testing Service 

  • End Users

    1) Slow response times and timeouts for report queries, page rendering, login, and other user-facing operations
    2) Frequent errors during concurrent multi-user operations

  • Development & Engineering Teams

    1) What is the maximum number of concurrent users supported? Can the system handle large-scale transaction volumes?
    2) Is resource utilization optimized? High CPU and memory usage observed under peak load conditions
    3) Does the system meet requirements for sustained, uninterrupted operation over extended periods (e.g., stability/stress testing)?
    4) Are there performance bottlenecks in the codebase? Is the system architecture and database schema properly designed for scalability and efficiency?
    5) Are configuration parameters across system modules properly tuned? What are the current performance bottlenecks?
    6) How should server resources be planned? Which components (e.g., application servers, databases, caches) should be scaled—and how—to improve overall system performance?

  • Operations & Management Teams

    1) Requires independent third-party evaluation reports—internally conducted testing lacks objectivity and credibility.
    2) Lacks capability to objectively assess end-to-end system performance: no established stress modeling or capacity estimation techniques; limited ability to deeply monitor key performance indicators (KPIs) and provide actionable optimization recommendations.
    3) Insufficient testing resources: shortage of skilled performance engineers; inadequate load-generating servers and network bandwidth for realistic simulation.
    4) Technology gaps: lack of enterprise-grade performance testing tools; incomplete test strategies; limited analytical capabilities on execution results; insufficient experience in identifying and resolving performance bottlenecks.

  • Scope of Performance Testing Services
  • Server Infrastructure
  • API Performance Testing
  • UI Rendering Performance Testing
  • WeChat Mini Program
  • Mobile Application (Native App)
  • Mobile Web Application (HTML5-based)
  • Microservices Architecture

     Our Competitive Advantages 

    • Professional Testing Team

      A dedicated testing team with assigned project managers; experienced in industry-specific performance benchmarks such as system throughput, resource utilization, and stability. We offer multiple diagnostic methods to help clients identify and resolve performance issues effectively.

    • Industry-Recognized Testing Tools

      Tools have been widely adopted in industries such as finance, enterprise IT, inspection agencies, and defense. Performance data aligns closely with leading commercial tools (data variance >5%). Supports system-level and process-level resource monitoring, including CPU and memory utilization metrics.

    • Standardized Implementation Process

      End-to-end standardized and transparent process—from requirements gathering to delivery. Performance metrics are comprehensive, objective, and accurate. Flexible test strategies customizable to client needs. Test scripts can be executed on our web-based performance testing platform.

    • Test Strategy

      Offers various test types including load, stress, spike, endurance, and configuration testing; supports both single-scenario and mixed-scenario simulations. Concurrent user modeling includes percentage-based distribution, incremental ramp-up, and steady-state models.

    • Extensive Industry Experience

      Successfully delivered projects across financial, enterprise, government, and higher education sectors. Experienced in performance testing of B/S, C/S, mobile apps, mini-programs, and H5 web applications. Capable of server probing via API interfaces or GUI-level interactions performance bottlenecks.

    • Self-Service Performance Testing

      After initial performance validation, we deliver test scripts to clients who can then perform self-service performance testing on our cloud-based platform—reducing long-term testing costs and increasing agility.

 Performance Testing Process Flow 

  • Business Engagement

    1) Initial Business Discussion
    2) Requirements Clarification Meeting
    3) Contract Signing

  • Project Preparation

    1) Test Environment Setup
    2) System Requirements and Architecture Assessment
    3) Development of Test Strategy and Plan
    4) Review and Approval of Test Strategy and Plan

  • Requirements Analysis and Scenario Design

    1) Test Scenario Analysis and Design
    2) Test Case Design and Peer Review
    3) Test Script Design
    4) Script Parameterization
    5) Configuration of Transactions, Rendezvous Points, and Parameters
    6) Test Data Preparation

  • Test Execution

    1) Configuration of Concurrent Users, Duration, and Execution Pattern in Test Scenarios
    2) Execution of Test Scenarios
    3) Recording and Analysis of Test Results

  • Reporting and Delivery

    1) Test Report Authoring and Internal Review
    2) Preparation for Project Delivery
    3) Client Acceptance and Project Closure

 Testing Tools & Deliverables 

  • Testing Tools

    Tool Overview,Tool Architecture Diagram,Deployment Architecture
    Tool Comparison Report, Mutual Recognition Report (or Interoperability Validation Report)

  • Test Plan & Test Strategy

    Test Plan Description and Screenshot
    Test Strategy Description and Screenshot

  • Test Scripts & Test Scenarios

    Test Case Design and Approval
    Test Scenario Design and Screenshot

  • Test Results & Test Report

    Test Result Explanation and Screenshot

  • Test Delivery

    Test Delivery Description and Deliverables List

 Common Performance Testing Issues and Resolutions 

  • Error Messages: Timeout Waiting, Connection Failure, Slow Response

    1) Insufficient Concurrent Connection Configuration
    2) Server Resources Have Reached Capacity (Bottleneck)
    3) Network Bandwidth Limitation
    4) Poor Database SQL Execution Efficiency (e.g., Missing Indexes, Full Table Scans)

  • Memory Overflow Issue

    1) JVM Memory Parameters Set Too Low (e.g., -Xmx, -Xms)
    2) Application-Level Memory Leak or Inefficient Garbage Collection

  • Response Time Exhibits Sharp Dips or Spikes with High Variability

    1) JVM Performed Garbage Collection (GC), Causing Performance Degradation
    2) Network Instability (Packet Loss or Latency Fluctuations)

 Featured Customer Case Studies 

  • Online Event Management System

    B/S (Browser/Server Architecture)

    Load Testing

    View Details>>
  • K–12 Assessment System

    B/S (Browser/Server Architecture)

    Load Testing

    View Details>>
  • E-Commerce Store System

    B/S (Browser/Server Architecture)

    Load Testing, Configuration Testing

    View Details>>
  • Risk Management Platform

    B/S (Browser/Server Architecture)

    Load Testing

    View Details>>
  • Big Data Analytics Platform

    B/S (Browser/Server Architecture)

    Load Testing

    View Details>>
  • More Customer Case Studies

    19 Years of Testing Expertise — Delivering High-Quality Professional Services and SaaS-Based Testing Tools

    Learn More About Our Professional Services

    View Details>>

 Test Plan 

Defines entry and exit criteria for each testing phase, including scope of work, deliverables, phase objectives, and schedule; customizable based on specific project goals and testing objectives.

TestPhase WorkItems Strategy EntryCriteria Schedule Deliverables PhaseObjectives
Requirements Phase
  • Analyze business scenarios.
  • Understand system architecture.
  • Develop test strategy / test plan.
  • Set up test environment.
  • Client contract signed.
  • Capture functional and non-functional requirements.
  • Define high-level test approach and planning framework.
  • Business requirements understood.
  • System architecture documented.
  • Test environment setup initiated.
  • Contract execution completed.
TBD
  • Test Strategy Document
  • Test Plan
Establish foundational understanding of business context and technical landscape; formalize initial test planning artifacts.
Design Phase
  • Design performance test cases.
  • Develop test scripts.
  • Execute baseline test.
  • Translate use cases into executable test scenarios.
  • Implement validation checkpoints (assertions).
  • Validate script logic with a baseline run.
Test cases reviewed and approved (peer-reviewed). TBD
  • Performance Test Cases.
  • Test Scripts.
Convert requirements into automated, verifiable test assets ready for execution.
Execution Phase
  • Load testing
  • Stress testing
  • Stability (soak) testing
  • Configuration testing
  • Gradually increase pressure
  • Load: 10 min
  • Stress: 2 hrs
  • Stability: 2 hrs
  • Configuration: 10 min
  • Data pre-installation
  • Performance tool deployment
  • Monitoring deployment
XXX Execution Log
  • Execute three rounds of scripts
  • Locate system weaknesses
  • Perform regression testing
Delivery Phase
  • Data collection and statistical analysis.
  • Writing test reports
  • Explaining test reports
  • Based on the execution results, determine whether the customer's needs are met.
Confirm all performance indicators while meeting customer performance requirements. XXX Test Report Deliver test reports, execution logs, test cases, and test scripts.

 Test Strategy 

Customizable based on testing objectives

 Test Strategy 

Customizable test types, execution strategies, and evaluation criteria based on testing objectives.

Test Type Test Objective Execution Strategy Evaluation Criteria Deliverables Test Rounds Value / Purpose
Baseline Testing
  • 1) Script debugging
  • 2) Parameterization setup
  • 3) Checkpoint configuration
  • 1) 1 virtual user (VU), concurrent
  • 2) Run duration: 5 minutes
1) Transaction success rate ≥ 99%% 1) Deliverables: Test scripts Rounds: 1 Validate script alignment with test case design and real-world usage scenarios
Load Testing
  • 1) Verify system behavior under high user load for this configuration.
  • 2) Identify performance inflection point (e.g., throughput plateau).
  • 1) 50 concurrent VUs with incremental load pattern (ramp-up).
  • 2) Duration: 10 minutes.
  • 3) Monitor server resource utilization (CPU, memory, disk I/O).
  • 1) Transaction success rate ≥ 98%.
  • 2) Average response time ≤ 2 seconds.
  • 3) CPU and memory usage ≤ 75%.
  • 1) Execution logs and metrics.
  • 2) Maximum supported user count.
  • 3) QPS/TPS inflection point.
Rounds: 3 Assess whether a single-node deployment meets performance requirements; provide baseline parameters for configuration testing; validate if response time satisfies client SLAs.
Stress Testing
  • 1) Evaluate the system's maximum processing capacity under this configuration.
  • 2) Identify performance bottlenecks across key metrics
  • 1) Apply high user load (near or beyond expected peak).
  • 2) Duration: 2 hours.
  • 3) Monitor server resources continuously.
  • 1) Transaction success rate ≥ 98%.
  • 2) Average response time ≤ 2 seconds.
  • 3) CPU and memory usage ≤ 75%.
  • 1) Execution records.
  • 2) Key performance indicators (KPIs).
  • 3) QPS/TPS inflection point.
Rounds: 3 Uncover system limitations and performance bottlenecks under extreme load conditions to guide optimization efforts.
Configuration Testing
  • 1) Evaluate high user concurrency under load-balanced environment.
  • 2) Determine performance inflection point under balanced configuration.
  • 1) 50 concurrent VUs with incremental load pattern.
  • 2) Duration: 10 minutes.
  • 3) Monitor backend server resources
  • 1) Transaction success rate ≥ 98%.
  • 2) Average response time ≤ 2 seconds.
  • 3) CPU and memory usage ≤ 75%
  • 1) Execution logs
  • 2) High-concurrency capacity
  • 3) QPS/TPS inflection point
Rounds: 3 Validate performance under minimum viable load-balanced configuration; derive optimal hardware/software configuration recommendations based on prior test data if current setup fails to meet requirements.
Stability Testing (Soak Testing) 1) Validate system stability during prolonged operation under sustained load that meets performance requirements.
  • 1) Stress with 80% of peak user load (high-user-count × 0.8).
  • 2) Duration: 24 hours.
  • 3) Continuously monitor server resources (CPU, memory, GC activity, DB connections).
  • 1) Transaction success rate ≥ 98%.
  • 2) Average response time ≤ 2 seconds.
  • 3) CPU and memory usage ≤ 75% throughout the test.
1) Execution logs Rounds: 1 Detect long-term issues such as memory leaks, thread contention, connection pool exhaustion, or gradual performance degradation due to resource contention.

 Performance Test Case 

Below is the template for a performance test case.

 Screenshot of Performance Test Execution Log 

Screenshot of Performance Test Execution Log.

 Performance Summary Dashboard 

Displays key performance indicators (KPIs) under this test scenario.

 Transaction Response Time Graph 

Used to analyze the speed and variability of response times for each transaction.

 Transactions Per Second (TPS) 

Used to evaluate the system’s transaction processing capacity under load.

Monitor CPU Utilization

Monitor Redis Performance

Monitor Network Throughput and Latency

Monitor Memory Usage

 Performance Test Report 

Partial preview of the test report. For full details, please contact customer support.

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