The ipoque blog

How to win the latency race with DPI-driven WAN optimization

WAN optimization is becoming increasingly important in managing bandwidth. Explore how DPI supports various techniques used for WAN optimization, namely QoS management involving prioritization and load balancing, deduplication, caching, compression and CDN. It assesses how granular insights at the packet- and application-level expedite network optimization decisions, and how this improves latencies and application performance across WANs and SD-WANs.

Facebook, YouTube and Instagram: Tackling app frenzy with DPI-driven application awareness

It goes without saying that applications are driving today's networks. The rapid growth of application traffic and global trends in application usage are the focus of this article. In particular, it explores the role of deep packet inspection in providing the granular application visibility needed to ensure network performance, allocating network assets, managing application-related threats, and providing superior user satisfaction.

Accelerating traffic with DPDK-optimized DPI

DPDK plays a pivotal role in modern networks by elevating packet processing rates, minimizing latencies, and enhancing network speeds. In this article, we delve into the synergy of deep packet inspection (DPI) and the Data Plane Development Kit (DPDK) to amplify packet processing capabilities in both networking and cybersecurity contexts. We will examine the intricate mechanisms harnessed by DPDK and underscore the indispensable role of DPDK-optimized visibility tools like R&S®PACE 2, especially when dealing with applications operating in high-compute environments.

vCPE and uCPE: How much cloud do we really need?

CPE virtualization abolishes proprietary hardware, vendor lock-in, congested rack space and expensive on-site maintenance. How has the cloud transformed CPE and what are the CPE deployment models that best fit today’s diverse traffic? This blog post discusses virtualized CPE (vCPE) and universal CPE (uCPE) in the context of how DPI enables the development of network architectures that are aligned to today’s traffic needs. It illustrates in detail how deep intelligence on traffic and applications enables the optimization of CPE architecture covering options that include on-premises, data center and cloud deployments and the assessment of these options in terms of overall cost, network efficiency and application performance.