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What is Spirent Landslide Virtual?

Spirent Landslide Virtual effectively simulates how mobile users interact with the network while leveraging both carrier and over-the-top (OTT) services. This sophisticated solution includes a comprehensive array of Mobile Core, Diameter, IMS, and Wi-Fi network elements along with their interfaces, enabling thorough validation of the entire network or the targeted isolation of virtualized EPC, Wi-Fi controllers, and critical functions related to Authentication, Authorization, and Accounting, in addition to policy and charging systems. By creating an all-encompassing testing environment, Spirent Landslide Virtual guarantees peak performance with a minimal virtual footprint, positioning it as a highly efficient network testing option. It also offers extensive capabilities for assessing both control and data planes from Layer 2 to Layer 7, alongside in-depth evaluations of Mobile, Wi-Fi, IMS, and Diameter interfaces and components. Moreover, it features a high-performance virtual machine tailored for validating Gateway VNFs' throughput. This solution is seamlessly integrated with the Landslide graphical user interface, automation tools, and various hardware platforms, which significantly improves usability and operational efficiency. Additionally, it incorporates RESTful APIs and HEAT templates that simplify orchestrated deployment and management, enabling operators to effectively control, manage, and optimize their network environments while adapting to evolving demands. Overall, Spirent Landslide Virtual stands out as a powerful tool for ensuring robust network performance and reliability.

What is Locust?

Locust is a versatile open-source tool designed for load testing, permitting users to specify interactions through Python scripts, enabling the simulation of millions of concurrent users on your system. Say goodbye to intricate user interfaces or cumbersome XML setups—its focus is on clear and concise coding. The tool excels in supporting distributed load testing across numerous machines, allowing for the replication of extensive simultaneous user activities. A standout feature of Locust is the ability to express all test scenarios purely in Python, which removes the hassle of dealing with complex interfaces. Installing Locust is simple, as it can be easily acquired from PyPI using pip. By utilizing Python for test definitions, users have the flexibility to tailor and enhance their load tests according to their specific requirements. Furthermore, this adaptability makes it an ideal choice for developers looking to integrate load testing seamlessly into their existing workflows.

Media

Media

Integrations Supported

Apolo
Testable

Integrations Supported

Apolo
Testable

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spirent Communications

Date Founded

1936

Company Location

United States

Company Website

www.spirent.com

Company Facts

Organization Name

Locust

Company Website

locust.io

Categories and Features

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

Categories and Features

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

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