Application delivery networks are increasingly at risk
Posted on 16 May 2014.
Data centers and modern application delivery networks are increasingly at risk, according to cPacket Networks. At the same time, the tools currently available do not allow the operational teams to detect imminent issues and correct them before they disrupt critical business activities.

Dr. Rony Kay, founder and CEO of cPacket, said: "Operations teams lack real-time information to quickly recognize telltale signs of problems like performance degradation, intermittent abnormalities, and applications misbehavior. In contrast, our pervasive network intelligence solutions enable them to proactively pinpoint and mitigate imminent issues before they become costly disruptions."

The modern applications delivery model relies on data centers, virtualization, and high-speed networks. End-users depend on consistent and reliable connectivity between the data centers and client devices. It drives a rapid world-wide growth of capacity, volume, and speed of traffic.

Every day, more business activities depend on reliable network delivery and consequently it implies inherent operational risks of performance degradation and harmful interruptions. Minimizing these risks requires a new approach to performance assurance and quick corrective actions.

Fundamental deficiencies of the outdated currently used monitoring tools include:
  • First, legacy monitoring solutions were not designed for the scale of the modern infrastructure; they were architected decades ago to collect information after-the-fact and not for todayís high speed, complex, risk-filled environment.
  • Second, the legacy monitoring solutions provide coarse average metrics instead of granular visibility into specific applications traffic at sub-sub milliseconds resolution of microbursts and spikes.
  • Third, the legacy solutions are limited to local information about a few individual links, instead of providing global insight into the overall traffic behavior across a complex multi-hop topology.





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