Item: Dynatrace
Rating: 9
Author: David Junkin

Use Cases and Deployment Scope

We use Dynatrace to monitor performance of our applications and our infrastructure. It has the ability to stitch together the path of a transaction through the stack of technology. It also can tell you an end-user's experience. Dynatrace has an AI engine that helps reduce the need to dig through tons of data. It will highlight were your issues are for you. It is being used across the enterprise to help us improve customer experience.

Pros and Cons

Stitch transactions across multiple technologies
Give an accurate picture of the end-user experience

Reporting: Current dashboards are limited
User experience data is purged after a while, which means you need to extract data to another source.

Return on Investment

It is helping us identify problem areas that impact user experience.
It helps us get a more accurate picture than synthetics alone can give.

Support Rating

The Dynatrace chat feature is nice. Dynatrace support staff react quickly to issues. I didn't give them a ten because sometimes they are too quick to try and close a ticket and declare an issue is not theirs.

Key Insights

Do you think Dynatrace delivers good value for the price?

Yes

Are you happy with Dynatrace's feature set?

Yes

Did Dynatrace live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Dynatrace go as expected?

Yes

Would you buy Dynatrace again?

Yes

Likelihood to Recommend

Dynatrace is great at highlighting issues and letting you know of their impact. The AI allows you to make associations that one person could probably not do. I think, so far, most things Dynatrace targets, it does well. I would say Dynatrace should not replace a business analytics solution.

Dynatrace: A good product that keeps getting better

Overall Satisfaction with Dynatrace