Skip to main content

Key benefit discussion: Integrating Moogsoft Cloud with Datadog ►

Are you a Datadog user?  And do you wish to optimize your workstream further? Then this video is for you! We recommend adding Moogsoft to your Datadog environment!

Let’s explore a sample use case to learn the key benefits.  You are monitoring your application and infrastructure performance with Datadog, and maybe a few other tools… let’s say Cloudwatch and Splunk.

Image1.png

You analyze the data in Datadog using their strong visualization.

Image2.png

As you note anomalies, you may create incidents and collaborate with teams in Pagerduty.

Image3.png

You might reference other tools such as a CMDB as needed during the issue investigation.

Image4.png

We are going to add Moogsoft to the mix.  Your monitoring architecture looks like this after incorporating Moogsoft. The change is pretty minimum.

Image5.png

Now, the data that comes into Datadog is routed to Moogsoft. There, Moogsoft will handle the deduplication, noise filtering, enrichment, and correlation without any manual intervention, and produce incidents.

Image6.png

Then, the incidents are sent back to Datadog, and you can start your investigation skipping all the manual work.

Image7.png

Let’s have a closer look at what happens here.

Here comes a warning event. Then, a critical event with the same set of attributes.

Image8.png

They are routed to Moogsoft as they come in, and there, they become one alert after the deduplication.

Image9.png

Here comes another event with a different description, but most attributes are overlapping.  This should be looked at with the context of the other two events.

Image10.png

Moogsoft recognizes the shared attributes, and groups all three into an incident.  Also, suppose you have been referencing a CMDB for the services information. Moogsoft can handle the lookup, and attach the service information for you.

Image11.png

Now the incident- after deduplication, enrichment, and correlation gets sent back to Datadog.  As you work on the incidents, you can reference back to Moogsoft, and take advantage of the information.

Image12.png

Meanwhile, here comes another event…Say it’s a “high CPU usage” alert.

Image13.png

However, suppose this alert gets triggered typically around this time of the day, and the overall performance of the application hasn’t been impacted.

Image14.png

Moogsoft’s dynamic thresholding learns that and adjusts to the new norm, so it will filter out this event as noise. So the incidents you see in Datadog are only the important ones that require your attention.

Now you know the key benefits of adding Moogsoft to your Datadog environment.  You can get a Moogsoft trial instance from the Datadog marketplace page.  Try it out and thanks for watching!