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What is NeoLoad?
Software designed for ongoing performance testing facilitates the automation of API load and application evaluations. In the case of intricate applications, users can create performance tests without needing to write code. Automated pipelines can be utilized to script these performance tests specifically for APIs. Users have the ability to design, manage, and execute performance tests using coding practices. Afterward, the results can be assessed within continuous integration pipelines, leveraging pre-packaged plugins for CI/CD tools or through the NeoLoad API. The graphical user interface enables quick creation of test scripts tailored for large, complex applications, effectively eliminating the time-consuming process of manually coding new or revised tests. Service Level Agreements (SLAs) can be established based on built-in monitoring metrics, enabling users to apply stress to the application and align SLAs with server-level statistics for performance comparison. Furthermore, the automation of pass/fail triggers utilizing SLAs aids in identifying issues effectively and contributes to root cause analysis. With automatic updates for test scripts, maintaining these scripts becomes much simpler, allowing users to update only the impacted sections while reusing the remaining parts. This streamlined approach not only enhances efficiency but also ensures that tests remain relevant and effective over time.
What is ITRS Load Testing?
The scalability of websites, applications, and APIs is essential for enterprises that operate continuously. By managing bandwidth and simulating millions or thousands of virtual users globally, you can replicate real-world conditions effectively. Integrations with tools like Dynatrace, New Relic, and AppDynamics allow you to identify issues at their source with precision. You can assess user experience quality through actual browser render times and visuals during testing. Additionally, real-time feedback enables you to tweak parameters dynamically, helping to identify optimal concurrency levels, potential failures, and peak performance metrics. As consumer expectations continue to rise, users demand a swift experience across all devices, at all times. It is crucial for business and IT leaders to acknowledge the increasing complexity and growth of their essential application infrastructures. Slow response times, performance issues, or complete application breakdowns can alienate visitors, resulting in significant revenue loss and damage to reputation. Ultimately, ensuring seamless performance and user satisfaction is vital for maintaining a competitive edge in today's digital landscape.
Integrations Supported
AppDynamics
Dynatrace
New Relic
AWS CodeBuild
Azure DevOps Projects
Bamboo
Bitbucket
Digital.ai Release
Git
GitHub
Integrations Supported
AppDynamics
Dynatrace
New Relic
AWS CodeBuild
Azure DevOps Projects
Bamboo
Bitbucket
Digital.ai Release
Git
GitHub
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
Tricentis
Date Founded
2007
Company Location
United States
Company Website
www.tricentis.com/products/performance-testing-neoload/
Company Facts
Organization Name
ITRS Group
Date Founded
1997
Company Location
United States
Company Website
www.itrsgroup.com
Categories and Features
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Functional Testing
Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers
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
Mobile App Testing
Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing
Performance Testing
API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
Categories and Features
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
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