Brain4Net Announces New Solution for Orchestrated TAP-Aggregation
(PRWEB) May 08, 2017 -- Difficulties with scalability and extremely high operational expenses force organizations to find new cost-effective solutions, designed in accordance with new DC network infrastructure standards.The unique Brain4Net traffic aggregation approach guarantees to corporate customers and service providers a significant improvement of DC network infrastructure scalability and granularity metrics, while decreasing both OPEX and CAPEX.
“Market is in high demand of new generation network monitoring solutions, that ensure ultimate efficiency and scalability with reduced CAPEX and OPEX.” – said Oleg Schapov, CEO and founder of Brain4Net. – “Considering this major trend, we created B4N Visibility Fabric, which provides flexible, efficient and reliable approaches for DC network monitoring and applications security. While utilizing SDN and NFV advantages, the solution brings significant cost efficiency to corporate customers and cloud infrastructure holders”
B4N Visibility Fabric, brand-new solution by Brain4Net, ensures smart TAP-aggregation by utilizing the advantages of B4N Service Platform and cost-effective highload 10/25/100G switches with open architecture. The solution allows building scalable network fabrics for traffic distribution from traffic mirroring devices to security systems like Intrusion Prevention Systems (IPS), Data Loss Prevention (DLP) and Network Firewalls. The B4N Visibility Fabric architecture considers scalability, from 1-2 switches to multi-level cascade fabrics.
The main B4N Visibility Fabric technology advantages are:
- User-friendly interface allows the administrator to focus on security functions, rather than setting up equipment
- Ability to use high-performance switches without reference to a particular equipment vendor
- Optimization of security systems loads – only valuable traffic is transferred
- Distribution of traffic arriving at one high-speed port, between several corts connected to security systems
- Traffic aggregation from multiple ports of 1GB or 10GB to 10Gb and 40Gb ports for maximum system load
- Traffic replication to multiple ports, which allow different monitoring systems to access one copy of traffic.
On technology level, B4N Controller, B4N Service Platform component, ensures centralized network fabric management by allocating filtration rules and mirrored traffic transferring from TAP-modules, while ensuring traffic distribution between analytical modules. The B4N Controller also provides the system GUI and REST API for integration with third party provisioning systems.
B4N Visibility Fabric provides the following features:
- Network topology composition and its real time recomposition
- Automated identifying of shortest route between traffic source and its final destination, proactive development of reserved route
- System monitoring, including visualization of the current state of the network as physical and logical topology, loading of communication lines, prompt notification of errors or critical condition of equipment, keeping log files about events and user actions in the system;
- The ability to filter traffic based on various Match criteria – the header layer of the link layer (outer / inner VLAN ID, VLAN PCP, etc.), the header fields of L3-L4 levels;
- Traffic balancing between finite devices based on Hash methods using Select Groups functionality in OpenFlow;
- Support for out-of-band implementation models;
- Ability of integration with adjacent systems via Northbound API (REST) or SNMP;
- Support for various topologies of mirroring – Any-to-Any, Many-to-One (TAPs and SPAN-ports), One-to-Many (dividing the incoming traffic stream into several and sending different types of traffic to the corresponding ports).
B4N Visibility Fabric to the moment ensures compatibility with Ezchip NP-5- based x86-based switches. Brain4Net actively develops compatible hardware list and plans to present its extended version with Broadcom StrataXGS and Mellanox at the next major platform release.
Nadya Gryaznova, Brain4Net, inc, http://www.brain4net.com, +1 6176394001, [email protected]
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