WebLOAD is an enterprise-grade load testing software developed by RadView, designed for testing the performance, reliability, and scalability of web, mobile, and API-based applications under realistic and peak load conditions. It supports a variety of deployment options, including cloud, on-premises, and hybrid environments, and offers advanced features for script creation, test execution, and performance analysis.

Key Features

Script Creation with Correlation Engine

• Automatically manages session-specific data (IDs, tokens) during recording.
• Supports JavaScript and Java for custom logic.
• Drag-and-drop and protocol adaptability (HTTP/S, WebSockets).

Flexible Test Execution

• Deploy tests on cloud, on-premises, or hybrid infrastructure.
• Simulate realistic load scenarios and monitor server-side metrics.
• Supports mobile, API, and cloud load testing.

Real-Time Performance Analysis

• Browser-based dashboard for real-time data visualization.
• AI-powered insights and ChatGPT integration for dynamic performance optimization.
• SLA configuration and real-time alerts for performance thresholds.

Advanced Protocol and Environment Support

• Supports HTTP/HTTPS, WebSocket, AJAX, SOAP, HTML5, WebDAV, and more.
• Docker and Amazon ECS-based cloud load generation for scalable infrastructure.

AI and Analytics Integration

• AI-based Explainer panel for non-technical users to understand test results.
• Real-time insights and actionable recommendations for performance improvement.

Benefits

Proactive Performance Assurance

• Identify and resolve bottlenecks before they impact users.
• Ensure application reliability and scalability under peak loads.

Streamlined Testing Process

• Automated script creation and data correlation reduce manual effort.
• Cloud and hybrid deployment options for flexibility and cost-efficiency.

Actionable Insights for All Users

• AI-powered analytics and ChatGPT integration make results accessible to both technical and non-technical stakeholders.
• Real-time monitoring and post-test analytics for continuous improvement.