Kentik - Network Flow Analytics

Posts by Greg Villain & Philip De Lancie

Most Recent
by Avi Freedman
by Avi Freedman
by Avi Freedman
by Avi Freedman
by Avi Freedman
by Avi Freedman
by Aaron Kagawa, Crystal Li
by Ken Osowski
by Crystal Li, Jim Meehan
by Ken Osowski
by Jim Meehan, Greg Villain
by Crystal Li

About Greg Villain & Philip De Lancie

Greg Villain is Director, Technical Product Management for Kentik. Philip De Lancie is Senior Technical and Marketing Writer for Kentik.

Configuring Kentik for SSO

October 23, 2017

As security threats grow more ominous, security procedures grow more onerous, which can be a drag on productivity. In this post we look at how Kentik’s single sign-on (SSO) implementation enables users to maintain security without constantly entering authentication credentials. Check out this walk-through of the SSO setup and login process to enable your users to access Kentik Detect with the same SSO services they use for other applications.

Read More

Using Interface Classification in Kentik Detect

September 5, 2017

In our latest post on Interface Classification, we look beyond what it is and how it works to why it’s useful, illustrated with a few use cases that demonstrate its practical value. By segmenting traffic based on interface characteristics (Connectivity Type and Network Boundary), you’ll be able to easily see and export valuable intelligence related to the cost and ROI of carrying a given customer’s traffic.

Read More

The Why and How of Interface Classification

August 14, 2017

Kentik addresses the day-to-day challenges of network operations, but our unique big network data platform also generates valuable business insights. A great example of this duality is our new Interface Classification feature, which streamlines an otherwise-tedious technical task while also giving sales teams a real competitive advantage. In this post we look at what it can do, how we’ve implemented it, and how to get started.

Read More
We use cookies to deliver our services.
By using our website, you agree to the use of cookies as described in our Privacy Policy.