Especially traffic monitoring that is comprehensive across the cloud and on premises while not breaking the bank.
Yet enterprises must keep tabs on their networks constantly to find and fix glitches fast. Problems like misbehaving hosts, faulty adapters, intruders, undesired traffic, and much more.
All at a price that makes attaining network excellence cost-effective.
Cirries’ Data Analysis in Real Time (DART) contains a packet sensor that can be deployed in public and private Virtual Machines, containers, or Kubernetes clusters. This packet sensor is a software-based, intelligent network probe that processes mirrored packet streams into highly analytic metadata summaries for transmission to DART. The reduction of raw packets to analytic metadata reduces public cloud data transmission costs significantly. The packet sensor mirroring has the flexibility to collect both north-south and east-west workload packet streams.
The packet sensor is designed around a high-performance packet collection and processing engine. It incorporates both an input filter and analytic metadata generation engine. The input filter discards non-IP packets and can optionally select IP source and destination addresses and sub-nets of interest.
The analytic metadata generator, besides creating flow metrics, can assign application names to destination IP addresses by either manual assignment or by monitoring DNS lookups.