FlowEye offers Al-driven real-time analytics to help data center managers increase performance.
Automated data center networking software provider Kaloom recently announced the launch of FlowEye, an AI-powered network telemetry and analytics solution. It’s designed to help data center managers to increase performance and decrease OPEX with comprehensive analytics, monitoring and troubleshooting tools.
“In-band Network Telemetry, analytics and automation are well understood for their potential to improve data center operations and enhance application deliveries,” said Paul Parker-Johnson, chief analyst at ACG Research. “Kaloom’s flowEye innovations significantly increase the granularity of insight that can be applied to pursuing those goals. And the fact that its functions are programmable into functioning data center resources means the outputs from its analytics are available faster than existing solutions, and at lower overall cost, since no additional equipment needs to be installed. Kaloom’s perspective on analytics and automation in the data center environment is both innovative and forward-looking.”
Today packets travel through a complex virtual system infrastructure that includes, routers, gateways, controllers, security, and many other components, all of which could be housed on different hardware. Traditional methods of telemetry and analytics aren’t able to provide real-time visibility into the many types of data that may travel through that virtual infrastructure or the number of hops it takes during those travels. FlowEye traces the actual packet routes to provide insights on where they’ve been and what impacts they’ve had as they’ve traveled through different components, both physical and virtual. This allows users to build fully automated data centers and closed loop systems that include analytics and self-healing remediation. This enables data centers to instantly correct traffic handling anomalies, network breaks and also scale resources up or down according to demand.
FlowEye allows real-time advanced packet tracing as opposed to traditional tracing which used g synthetic or statistical sampling and packet probing protocols. This allows root cause analysis which in turn provides the insights needed to take corrective action on problems before they occur. The data collected from the trace is analyzed and presented in a dashboard with several different views:
- Spatial for a full network view hop-by-hop
- Temporal for drilling down into specific issues in real-time
- Geo for determining the location of critical issues
- Cards for SLA and KPI details such as jitter, packet loss, and latency
The analytics tools allow data visualization and predictive analytics across multi-data center environments.
“Our automated real-time monitoring, analytics and troubleshooting capabilities will change the way data centers are currently managed. Until now, customers have been using expensive additional equipment that adds to the cost and latency of monitoring the network state. Also, they have been doing so on sampled or synthetic traffic, not on the actual traffic, and not even close to real time. 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,” said Suresh Krishnan, chief technology officer at Kaloom.