Customer Value

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  Management covers the entire process from script writing, scenario design, stress testing and analysis, to defect management.

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  Collaborative Team-Based Performance Test Management,Enables Multi-User Collaboration Within Projects,Improves Operational Efficiency

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  Reuse of Multiple Load Generation Nodes,Increases Utilization of Testing Environments

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  Supports End-to-End Chain Testing,Define System Architecture and Call Chains via Topology Diagrams,Counters for Each Node

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  JVM Monitoring and Analysis Support.Analyze Thread Locks, Memory Usage, Garbage Collection (GC), and Code Execution Time.Optimize Java Application Performance.

Functional Modules

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  Performance Requirements & SLA Module

  Based on the Non-Functional Performance Requirements of the System,Establish SLAs for the Entire Performance Testing Process:Define Specific Scenarios (Functional Points, Concurrent Users, Online Users, Throughput, Duration, etc.)
  All Performance Testing Projects Are Built Upon Target SLA Criteria

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  Performance Script Editor Module

  Offers Both Configuration-Based UI and Code-Based Script Editors，Enables Different User Types to Easily, Quickly Create and Debug Performance Scripts.Supports Performance Scripts for Various Protocols.Supports Importing JMeter Scripts.

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  Test Suite Management and Performance Scenario Management

  Create Performance Scenarios: Configure Scripts, Load Patterns, Virtual User Count, Intervals, Transaction Percentages (or Counts), etc.
  A Test Suite Allows Multiple Performance Scenarios to Be Grouped into a Single Executable Set.POne Enables One-Time Execution of an Entire Test Suite, Saving Time and Reducing Manual Intervention.

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  Create a full-link monitoring model

  It supports full-link testing, and uses a link architecture diagram to define the architecture and links, as well as the counters for each node.

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  Performance Execution and Monitoring

  Initiate Performance Tests Using Either Test Suites or Individual Scenarios.
  Monitor Execution Status and Progress via Dedicated Dashboards for Each Test Suite or Scenario.

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  Test Analysis and Report

  Generate Post-Execution Performance Analysis Reports in Word or PDF Format Based on Monitoring Data.

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  Defect Tracking

  Allows Performance Issues Identified During Testing to Be Logged as Performance Defects and Submitted to Development Teams.
  Supports Customizable Defect Management Workflows.

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  Test Environment and Executor Management

  Supports Configuration and Management of Executors Across Multiple Load Generation Nodes.

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  Project Management and User Management

  Supports Isolated Management via Project Creation for Different Systems Under Test.All Requirements, Performance Scripts, Test Suites, and Scenarios Are Centrally Managed Within Projects.
  Access to Projects Requires Role-Based Permission Assignment.

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  Performance testing and analysis process
  Integrated Collaborative Platform

  Manage the entire process from performance script management, performance scenario management, test suite management, performance script reuse, performance defect management support, to generating performance test analysis reports, all on a project-by-project basis.
  Support collaborative management and process management within the performance testing team.
  Unified coordination and allocation management of performance testing environments and resources.

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  Low-Code
  Visual Performance Script Editing

  Provides recording and log import capabilities to generate performance scripts.
  Supports low-code editing of performance scripts.
  Performance scripts can be edited and maintained without the need for developers.

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  Multi-Node, High-Concurrency, High-Fidelity Simulation
  Accurately Simulates Massive User Loads

  Employing various stress generation models, it accurately simulates the stress of over 100,000 users.
  It manages multiple stress node clusters, supporting stress simulations initiated from multiple nodes.

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  Multi-Type APM Probes
  Enables Multi-Dimensional Monitoring

  Design a stress distribution graph for the testing task, and analyze the system architecture and transaction flow in detail.
  Based on the stress model graph and each component, define a rich set of counters to analyze stress distribution.
  Based on the distribution graph, display a performance counter dashboard.

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  End-to-End
  Performance Issue Diagnosis

  Based on the link architecture diagram and performance counters, set thresholds according to the SLA protocol.
  Analyze the data of each counter on the link under pressure to determine if it is reasonable, thereby pinpointing the problem.

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  JVM-Level Performance Problem
  Analysis and Root Cause Identification

  Thread lock analysis
  JVM memory management analysis
  Code execution time analysis