At the core of any network is the data center – hosting web, application and data storage servers that thousands of users access every day. Managing the constant stream of data that flows between these servers and users requires a plethora of network tools that route, filter, distribute, secure and manage all forms of traffic.
Better together: APCON and ipoque
With each wave of digital and cloud transformation, network tools such as analytics engines, SD-WAN accelerators and CDN switches become inundated with larger traffic volumes and an ever-expanding breadth of applications. This necessitates intelligent traffic processing, where dynamic policies are used to reduce overall traffic load and optimize flows. Low‑latency applications, for example, require dedicated routes that are shorter and faster, whereas standard web traffic is offloaded to default pathways.
Many of the routing and distribution decisions within data centers are executed via network packet brokers. An example of a network packet broker is the IntellaView platform from APCON. Boasting over 30 years of experience and presence in more than 40 countries, APCON is a US-based provider of network visibility and monitoring for enterprise data centers. Their customers span the telecommunications, banking, government, healthcare, education and IT sectors.
APCON’s IntellaView platform, which comprises IntellaView series switches and the HyperEngine blade, can undertake a number of tasks such as application filtering, traffic shaping, packet deduplication and NetFlow record generation. To execute these tasks, the IntellaView platform requires real-time application classification that enables policies to be assigned based on the underlying application or protocol. To ensure hyper speeds and the highest accuracy, APCON partners with third parties like ipoque to offer traffic identification capabilities to customers.
This led to a collaboration between APCON and ipoque where ipoque’s DPI engine R&S®PACE 2 is run on any of the HyperEngine’s six service engines. Application Filtering on the HyperEngine executes traffic filtering for Layers 2 to 7 at rapid speeds.
Shaping intelligent data center networks with next-gen DPI
R&S®PACE 2 delivers real-time traffic classification, covering Layer 7 protocols, such as RTP and HTTP; and applications, such as Gmail, Zoom and Netflix (including a detailed application service description such as video, file transfer or audio). R&S®PACE 2 also detects traffic that is malicious, suspicious and anomalous. It leverages a combination of classification methods which include pattern matching and statistical/behavioral/heuristics analysis as well as metadata extraction.
The next-gen DPI engine features fast performance with linear scalability – even in ranges of multiple terabytes – allowing it to match against today’s data center throughputs. Superior performance, complemented by a super-low memory footprint, enables R&S®PACE 2 to support the IntellaView HyperEngine’s combined throughput of 600Gbps across all of its six engines. Designed for traditional, virtualized and cloud-native environments, R&S®PACE 2 works perfectly within data centers to deliver comprehensive traffic analysis thus enabling an intelligent data center network.
Focusing on traffic that matters
By identifying traffic in real time, data centers have the ability to optimize processing, speed up traffic routing, and improve security. The IntellaView platform’s HyperEngine blade, for example, uses R&S®PACE 2-powered packet classification capabilities to split traffic flows into distinct streams. This allows the HyperEngine to route traffic intelligently to functions that correspond to each application or protocol (refer to Figure 1).
For instance, IntellaView HyperEngine users can specify Netflix and YouTube traffic to be channeled to a video analysis engine or a content compression server, while email applications are routed via a spam filter. Users can also configure low-risk and standard Internet apps to be redirected or sifted out. This reduces the processing load and overheads across various network tools.