Per Flow Testing of Packet Inspection and Policy Enforcement Appliances
TeraVM is used to test the performance and accuracy of the leading network packet inspection and policy enforcement appliances. Packet inspection and policy enforcement appliances are playing a key part in modern networking with a wide range of uses from media management in LTE networks, optimization of traffic flows in data centers, to detecting potential data loss through illegal file sharing. TeraVM is the only virtualized solution available which can be deployed to test the performance of packet inspection and policy enforcement appliances in their live environments with the widest range of application traffic flow types.
Packet Inspection and Policy Enforcement Appliance Accuracy
TeraVM is used to test accuracy and to ensure that the packet inspection and policy enforcement appliance is operating correctly. That is, that each unique flow is being identified and managed according to the policy configuration which includes testing for false positive and false negative outcomes. TeraVM’s problem flow isolation tools help to quickly pinpoint; from the millions of flows any flow which is exhibiting an incorrect behavior.
Reliability and Robustness Testing of Packet Inspection and Policy Enforcement Appliances
Reliability testing is required to determine the appliances capability to maintain services under extreme loads or utilization rates. Furthermore testing is required to determine in the event of sustained periods of high utilization, how the appliance will failover. Will it be the cause of a security breach? TeraVM provides users with a safe environment to test these type of scenarios and to pin-point the exact limitations of the appliance. Test in confidence and safely determine how a failover impacts the traffic flows and if there is any potential unwanted security holes .
Dynamic Traffic Profiling with Randomness
Add randomness to voice, video and TCP / UDP based clients. This is a very effective test to prevent the appliance been tested from being 'trained' to unrealistic regularity. For example, real people do not download 1 document every 30 seconds for hours on end.