Cumulus Networks 'reinvents' network visibility

Combined with the threat of network outages, the widespread adoption of microservices, containers and virtual machines has added a new layer of complexity in the data centre, resulting in a strain on traditional networks and the need for operational simplicity within the data centre. In order to ensure the data centre network is behaving as intended, obtaining a holistic view of the network is critical. While existing tools only scan infrastructure every 15 minutes, NetQ takes an always-on approach using a scalable data ingestion engine with real-time collection and processing of the data, without burdening the network. NetQ performs three primary functions:

• Data collection via real-time and historical telemetry and network state information
• Data analytics leveraging robust algorithms
• Data visualization through a rich GUI for actionable insights

With NetQ, network operations change from a manual, reactive, box-by-box approach to an automated, informed and agile one greatly reducing network downtime and freeing up network operators time.

“CEOs are increasingly viewing infrastructure as a strategic resource to their business, and having a direct view across the network enables teams to prevent outages achieving an even greater ROI from their data centre,” said Josh Leslie, CEO of Cumulus Networks. “NetQ is built for the modern, automated cloud network and gives network operators the comfort to identify, embrace, and simply operationalize data centre networking.”

Running on Cumulus Linux switches and other Linux devices — such as Ubuntu, Red Hat, and CentOS hosts — NetQ captures real-time telemetry and network state information, providing cloud architects and network operations teams the ability to process and visualize data to operate with a complete understanding of the status and performance of their network.

An essential tool for any network operator, NetQ 2.0 features and capabilities include:

• New graphic user interface (GUI) and command-line user interface (CLI) to simplify operations and increase efficiency.
• Cloud-scale architecture that offers massive horizontal scaling, which parallels the largest cloud companies.
• Real-time telemetry to drastically reduce time and effort required to find and resolve network issues.
• Deep analytics with L1-L3 insights, including a network overlay view for actionable insights that provide visibility into and intelligence about the health of the network.
• Any-Linux data aggregation delivers more real-time and historical data than any other operations tool set with a view that extends from the container, virtual machine, or host, all the way to the switch and port.
• Rest APIs for extraction to a wide variety of third-party tools for development of desired integrations, offering unparalleled flexibility.
• Diagnostic troubleshooting with validation, trace and proactive alerting.
• Kubernetes deployment monitoring providing impact analysis and complete end-to-end visibility.