Kaloom, an emerging leader in the automated data center networking software market, today announced flowEye, an AI-driven real-time in-band network telemetry (INT)and analytics solution.
Traditional network telemetry and analytics solutions were not built for today’s virtual architectures. Packets now travel through virtual system infrastructure including controllers, routers, gateways, security and other elements that may each be housed on different hardware, said Kaloom. Existing methods such as traffic sampling are ill equipped to provide real-time visibility into the many types of data traversing the virtual landscape and the number of hops that data takes as it travels. Kaloom’s flowEye traces actual packet routes as they travel through the data center, providing insights to where they’ve been and what impacts throughput among both virtual and physical elements.
Kaloom’s INT collects and reports about network state using in-band network telemetry data (i.e., metadata) to a backend analytics engine for detailed analysis. INT is performed in the data plane without impacting the control plane, said the Company.
Suresh Krishnan,CTO, Kaloom
Kaloom has taken a unique approach and can now provide an industry-first, real-time visibility of the packets and flows for the actual traffic, thus guaranteeing optimum operational visibility for data centers.
Paul Parker-Johnson, Chief Analyst, ACG Research
In-band Network Telemetry, analytics and automation are well understood for their potential to improve data center operations and enhance application deliveries.
