Service Virtualization software removes the development and testing “wait time” that can slow delivery of applications. It enables your teams to easily create realistic simulations of service behavior—so you can stay on schedule even when dependent application components or systems aren’t available. Simply put, you can focus on service quality rather than resource constraints.
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The Service Virtualization 2023 R1 release focuses on stabilization, bug fixes, and usability improvements. The main new enhancements include new self-paced online training, enhanced C# scripting, improved debugging, easier data driving, updates to protocol hooks and existing protocols, new type of functional virtual service, and improved security and infrastructure.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version fixes several security vulnerabilities.
The Service Virtualization 2023 release introduces numerous enhancements and bug fixes, improving user experience, Virtual Service design and modeling, expanding protocol coverage, improving integration API, security, and SV infrastructure.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version fixes several security vulnerabilities.
The Service Virtualization 2022 R2 release introduces numerous enhancements and bug fixes, improving SV product usability and expanding usage. The main enhancements include enhancements to Protocol Hooks, Service Call Activities and HTTP agents, an introduction to public REST APIs, a new security audit, Kubernetes deployment enhancements, easier upgrades, security fixes, and SV infrastructure updates.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version fixes several security vulnerabilities.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version fixes several security vulnerabilities.
The Service Virtualization 2022 R1 release introduces numerous enhancements and bug fixes, improving SV product usability and expanding usage. The main new enhancements include data model schema optimization, histograms for performance testing, integration of GIT into SV Designer, improvements in SCA, Docker and troubleshooting, SSO/SAML 2.0, security fixes, and infrastructure updates.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version comes with improved learning, simulation and runtime, as well as new support for JMS, IBM WebSphere MQ, RabbitMQ, and Kafka.
The Service Virtualization 2022 release introduces numerous enhancements and bugfixes, improving SV product usability and expanding usage. The main new enhancements include usage of Service Virtualization for active LoadRunner customers, updated Protocol Hooks API, JMS correlation, versioning alignment, installation, infrastructure, and security updates.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version comes with improved learning, simulation and runtime, as well as new support for JMS, IBM WebSphere MQ, RabbitMQ, and Kafka.
The Service Virtualization 5.4.1 release is a cumulative update and introduces numerous enhancements and bug fixes, improving product usability and expanding technology and protocol coverage. The main new enhancements include: easier Virtual Service data modeling, enhanced editing of Service Description, enabled XML over JMS in hybrid simulation, enriched Virtual Service events, simplified export and sharing of logged messages, and enhanced HTTPS, Java Virtualization, JMS, MQ, FTP, Fixed Length, and SAP protocols.
SV Lab is an environment virtualization toolkit that complements Service Virtualization in areas that would be otherwise difficult to handle using virtual services based on the standard data model. This version comes with improved learning, simulation and runtime, as well as new support for JMS, IBM WebSphere MQ, RabbitMQ, and Kafka.
The Service Virtualization 5.4 release brings numerous improvements to existing SV product capabilities. The main new enhancements include: Virtual Service creation in SVM, simplified SV Designer trial and deployment, SV Lab embedded license into SV Server, new protocols and technologies like Azure Service Bus, RabbitMQ and Kafka, support for CORS, SAP enhancements, improvements to simulation runtime, Virtual Service filtering in SVM, and SV Server statistics. SV Lab technology comes with improved learning, simulation and runtime, as well as new support for JMS, IBM WebSphere MQ, RabbitMQ, and Kafka.
Debug SV Lab simulation models in your IDE.
This plugin integrates with Java tests using SV Lab providing virtual services and displays messages processed/simulated by virtual services during the test.
Dockerized Linux and Windows version of SV Server, SVM and SV Lab
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