Kentik Emerges From Stealth With SaaS Network Analytics Solution And $12M In Series A Funding

Kentik emerged from stealth to reveal details of a cloud-based platform for network visibility that delivers an exceptional degree of visibility into network performance and operations in comparison to existing products. Formerly known as CloudHelix, the Kentik direct service aggregates network-related data from customers into a non-relational database and subsequently performs analytics to give customers real-time visibility into traffic within their network infrastructures. Kentik allows customers to upload data directly to its SaaS platform or to a virtual appliance that encrypts the data prior to its transmission. The solution has gained early traction with customers such as Box and Yelp in addition to large internet service providers. Sam Eaton, Director of Engineering Operations at Yelp, remarked on the innovation enabled by Kentik as follows:

Kentik has given us the insight and visibility that we have not been able to achieve through other network performance monitoring products or open source tools. With over 100 million average monthly unique visitors coming to Yelp, we see traffic reaching many gigabits per second, so it’s critical for us to be able to look deeply into all network traffic in real time and gain real insight. That’s where Kentik has helped. We can see things we simply couldn’t see before.

Here, Eaton remarks on Kentik’s ability to deliver real-time, granular insights into Yelp traffic that exceeds “gigabits per second.” Similarly, leverages Kentik to obtain geography-specific insights into network traffic that allow for timely and proactive remediation of network-related problems before they intensify. Today, Kentik also announces the finalization of $12M in Series A funding led by August Capital. The company’s Big Data platform for aggregating and analyzing network data aims to disrupt networking analytics by delivering an unparalleled degree of insight into network behavior in ways that support high availability, performance optimization and security-related use cases.