Release Update
In the upcoming NeoLoad release (2025.1, 2nd April ) we are excited to be releasing major new capabilities that improve the user experience and provide intelligent automation capabilities.
- First-Release of Next-generation NeoLoad Web: The initial release of our new modern design based on the Tricentis one-platform design system, provides an intuitive experience that is easy to navigate and use, enabling users to be more productive.
- First-Release of AI-powered Augmented Analysis: Our AI-powered automated analysis of performance test results uses AI to identify intervals where the system is not performing as expected. This helps users to quickly pinpoint performance bottlenecks with automated RED (Rate, Error, Duration) analysis, along with suggested guidance and explanation.
- SAP Intermediate Document Interface (IDoc) and Remote Function Call (RFC): Increasing the breadth of SAP protocols and applications that can be tested with Intermediate Document Interface (IDoc) and Remote Function Call (RFC).
- TN5250: Expanding Enterprise testing with RTE support for TN5250 with an intuitive, low-code/no-code recorder.
What’s Next?
The following areas are the next key strategic focuses for NeoLoad:
- Next-generation NeoLoad Web (Q3 ‘25): We’re making analysis in NeoLoad Web more powerful and intuitive, including additional metrics, and making Next-generation NeoLoad Web available on on-prem.
- SAP (Q4 ’25): Increasing the breadth of SAP use-cases that can be tested with an integration into Cloud ALM.
- AI Performance Agent (Q4 ’26): Smart design with automatic extract of parameters and variablesfrom the user paths.
- Enterprise Testing: Adding scale and security enhancements for Enterprise customers, with variables stored in a secure vault, on-prem NeoLoad SSO login (Q2 ’25), and segregation of users into projects
Looking Ahead
Please refer to our Ideas Portal for our longer-term investments in the following:
- Evolving our protocol and application support to ensure customers have the tools they need
- Improving the scalability, security, and productivity of performance engineering for the Enterprise
- Applying AI across the whole performance engineering lifecycle
- Supporting Microservice and Continuous Integration Testing