Keysight Cloud Visibility (CloudLens)

CloudLens, developed by Keysight, is a cloud visibility platform designed to provide packet capture, filtering, and analysis capabilities for public, private, and hybrid clouds. According to the vendor, CloudLens caters to organizations of all sizes, including small, medium, and large enterprises. The product is aimed at IT professionals, network administrators, cloud architects, and security analysts in various industries such as financial services, healthcare, retail, and technology.

Key Features

Packet-Level Visibility: CloudLens enables organizations to access and analyze packet data in their public cloud environments, which the vendor claims can help prevent performance problems and identify blind spots. With complete access to packet data, organizations can reportedly improve security, troubleshoot network issues, and optimize performance.

Private Cloud Visibility: CloudLens offers flexibility for gaining packet-level visibility in private cloud environments. The vendor states that it allows organizations to capture and analyze inter-VM traffic, providing a holistic view of the private cloud environment. This feature is said to enhance security, monitor application performance, and ensure the overall health of the private cloud infrastructure.

Hybrid Cloud Visibility: CloudLens provides visibility in hybrid cloud environments without complex workarounds. According to the vendor, organizations can monitor and analyze packet data across their hybrid cloud deployments, enabling effective security, troubleshooting, and performance optimization.

Cloud-Native Architecture: Built with a cloud-native architecture, CloudLens is designed to work across different cloud environments, including public, private, and hybrid clouds. The vendor claims that its platform-agnostic design ensures scalability, flexibility, and ease of use for capturing and analyzing packet data in any cloud environment.

Auto-Scaling Capability: CloudLens is equipped with auto-scaling capabilities, allowing it to dynamically adjust its resources based on workload and traffic demands. According to the vendor, this ensures necessary visibility and analysis capabilities even in high-traffic scenarios without compromising performance. The auto-scaling feature is said to enable efficient resource utilization and cost optimization for organizations with varying cloud workloads.

Intelligence Filtering: CloudLens offers intelligence filtering capabilities, allowing organizations to focus on relevant packet data and reduce noise. The vendor claims that by applying filters based on specific criteria, organizations can streamline the analysis process and extract actionable insights. Intelligence filtering is said to improve efficiency, reduce irrelevant data, and enable faster identification of security threats and performance issues.

Load Balancing: CloudLens provides load balancing functionality, distributing the packet capture and analysis workload across multiple instances. This feature is claimed to ensure even processing load distribution, preventing bottlenecks and ensuring optimal performance. Load balancing capability enables efficient resource utilization, scalability, and high availability in cloud environments with heavy network traffic.