Docker container monitoring in a hypercomplex world: notes from DockerCon 2017

We’ve just wrapped up at DockerCon and I wanted to share some of the key highlights from such an electric and high-energy event. Our booth was absolutely jammed, as we showcased our unique approach to monitoring Docker environments, caused by a word-of-mouth surge.

Here’s my take:

#1. Nearly everyone at the event is moving to Docker in a big way for its flexibility and scalability.

#2. Complexity of container environments and how to monitor them effectively (given they can spin up and expire in a matter of seconds) is a point of concern.

I recently read some good research by RightScale which addresses these points around cloud adoption and complexity issues, specifically:

  • Docker is the preferred DevOps tool today, and adoption has surged to 35% up from 27% last year
  • Cloud users are running apps in multiple clouds – an average of 1.8 public clouds and 2.3 private clouds.

But rather than be left feeling overwhelmed, the attendees that came by our booth were blown away by Dynatrace’s ability to tackle all the performance challenges associated with these hugely-complex cloud environments.

Why DockerCon attendees were blown away by Dynatrace

Let me give you an example of some of the conversations we are having down here today:

Two guys from a very large Midwestern university came by the booth after visiting DataDog, sysdig, and other vendors (unfortunately New Relic and AppDynamics weren’t here despite them touting their microservice and Docker container monitoring capabilities).

As I walked them through the demo and showed them our capabilities, they were amazed at what we can do versus our competitors:

“Nobody can do that. That is a game changer”

This was their reaction to the fact that, with zero configuration, Dynatrace auto-injects into Docker containers as they spin up without touching the image, and automatically provides metrics on the app or service running in the container.

“We didn’t know that was even possible”

This was what they said when I told them about our agent updates, and the fact that developers don’t have to modify their image or restart their production environment.

“How are you able to do that?”

This is how they react to Dynatrace’s AI-based problem analysis with a single alert of the root cause, straight out of the box.

It’s such an exciting time to be with Dynatrace. And I love being at these events to see the reactions people have when they experience the full power of our solution.

We want your feedback

For those that have experienced Dynatrace, especially any DockerCon attendees who came by the booth, what do you think sets us apart?  We love feedback – it’s crucial to our ability to address the complexity challenges our customers face today and in the future. So please let us know your thoughts via the comments section below.

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