Ixia launches CloudLens Public
Ixia of Calabasas, CA announced on April 4 it has extended the CloudLens Platform’s reach to the public cloud. CloudLens Public provides Visibility-as-a-Service (VaaS) and is the first to be implemented as a pure Software-as-a-Service (SaaS) solution. It is designed from the ground up to retain the benefits of the cloud – elastic scale, flexibility, and agility. CloudLens Public provides intelligent and automated visibility as a service that scales with public cloud infrastructures.
Access to application and network data in cloud environments is critical for security and monitoring tools to ensure the reliability, security, and performance of mission-critical applications. Granular access to cloud traffic is important to avoiding blind spots in a network that can compromise application monitoring, as well as overall security.
Ixia has extended the benefits of the company’s CloudLens Platform to enable customers to capture and filter data in the public cloud. Designed as a SaaS platform, it does all the heavy lifting behind the scenes, freeing customers from managing visibility.
“Visibility is key to security, but when workloads transit the public cloud, visibility can be lost,” said Jim Duffy, senior analyst, 451 Research. “Ixia’s CloudLens Public offers enterprises ‘visibility-as-a-service,’ where all of the packet brokering takes place at the source. This could enhance scalability and network agility.”
CloudLens Public will initially be available in support of Amazon Web Services (AWS). Ixia plans to add support for Microsoft Azure and Google Cloud in the second half of 2017. CloudLens Public offers a cloud-native, serverless design that lays the foundation for solving cloud-scale problems and its intelligent, Docker-based architecture is cloud service provider agnostic. The Docker-based sensors run within a customer’s source and tool instances, inheriting the security configurations of the instances. In addition, the sensors have access to a wealth of information, and the platform can be programmed to continuously monitor new instances that automatically align for proper monitoring.