September / October 2016


In graph zooming

Data Explorer now supports graph highlighting and click and drag operation on the timeline to zoom in to the selected timeframe.
Following on to a horizontal click and drag, the side query panel will automatically update its “Time” fields and a zoomed-in graph will be spawned.

New ‘Table’ visualization type

A table view has been added to the existing display types on top of the existing chart types.

Beyond their basic appearance, Table views are highly customizable in terms of columns they display and can amongst others allow to build computed fields in a very comprehensive manner.
These advanced options for the table widget are available by clicking on the hamburger menu at the top right end of the table component.

View hamburger menuTable widget view options

→ Table View Options details can be found in our Knowledge Base under this article.

Custom Dimensions

Custom Dimensions correspond to user defined Flow Enrichment Custom Columns. What that means in practice is that users are now able to programmatically enrich their flow data with columns (5 custom dimensions are allowed per account) that can be grouped-by, summed, max’ed, etc.

Unlike Tags or Saved Filters, Custom Dimensions only affect the flows being considered in a request.  Custom Dimensions provide an efficient way of breaking down your visualizations by your own business contextualized data groupings.

Values for each custom dimension can be set via:

Interesting examples of how one would use Custom Dimensions include:

  • Marking different types of customers: populating a customer_type Custom Dimension based on the IP Ranges within which the customers are hosted.

  • Marking arbitrary tiers of cheap to expensive destinations or sources by relying on source or destination ASNs.

  • Marking Peering (paid, free), Transit, and IX traffic based on matching interface description.

→ The extensive documentation around Custom Dimensions can be found here in our KB

Saved Filters

→ The extensive documentation around Saved Filters is located here in our KB

Saved Filters are a new addition to Kentik Detect’s take on how to slice and dice data in the Data Explorer in an increasingly quick and convenient manner.

Remember the days where you needed to build a complex filter from scratch when going back to the Data Explorer screen?  Those days are over. With Saved Filters, you can conveniently save filters you use on a regular basis and call them from the Data Explorer Filter section any time.

You’re welcome 😉

Here’s what filters look like now:
If you were to build that filter of destination French ISPs every time you create a query, it could be quite a chore… here’s what your filter would look like (apologies if I forgot any French ISP)

Filter for French ISPs

Saved Filters to the rescue:
Now you can now save that filter by clicking on the disk icon at the top of the filter group, and re-use it sometime later.

Save filter modal

Voila !
You can now invoke this filter any time directly from the filter screen:

Load saved filter

Double-click the filter’s name and you can invoke its opposite, in this case filter on any destination ASN but the French ones you previously listed !

Negate saved filter

Additionally, Saved Filters are shareable between users at a company level, as well as Kentik offers common pre-set filters. To get a view of all filters, just hop on to Admin → Saved Filters:

In a future release, Saved Filters will adopt some form of a library view to facilitate collaboration and sharing, stay tuned!