The Micro Focus Service Virtualization team is pleased to announce the release of Service Virtualization 5.3.
The release introduces numerous improvements to existing Service Virtualization product capabilities:
- Improved VS Data Model usability with new color highlighting and column control
- Improved Virtual Service debugging and collaboration with import or archive of logged messages into the SV project
- Expanded messaging protocol with multi-queue request/response configuration options
- Enhanced IBM WebSphere MQ configuration with more granular multi-queue manager configuration options, added support for SSL
- Updated creation of REST simulations from Swagger
- General SV platform technology updates and security improvements in Service Virtualization Management interface
SV Lab technology comes with:
- New scenario parametrization and data driving using JSON datasets
- Enhanced VSL (Virtual Service Language) compilation with better parameter and syntax validation
- Adjusted simulation algorithm to prefer matching operation responses in context of stateless simulation
- Improved learning of variables, application scenario variables and scenario parameters when updating existing Virtual Services
- Added transparent proxy behavior into the HTTP/HTTPS connector
- Improved modeling and simulation of REST with path parameter learning and handling, asynchronous request/response timing and JSON handling
Visit us on a Service Virtualization YouTube channel and learn the first steps with Micro Focus Service Virtualization and How Simulation Works. Or just see how to apply the latest improvements to overcome difficulties with dependencies to out of control APIs and physical connected devices: Developing IoT Integrations with Micro Focus SV, Home Assistant, Tesla and Solar Inverter API.
To see all the new features in Service Virtualization 5.3, check out the What’s New page.
Service Virtualization is now also available on Micro Focus ADM Marketplace allowing quick and easy access to download Service Virtualization Express, SV Lab or access Docker images.