The technology stack they support and the insights you get out of them
What do you dislike about the product?
The fact that in quite some cases the documentation isn't up to date whih leads up to unessary support tickets.
What problems is the product solving and how is that benefiting you?
In general the MTTR is far lower then before. This helps us to keep incident cost lower then before. Furhtermore we use it troughout DTAP and try to identify issues as early as possible.
Have started our transition from legacy tools to Dynatrace
What do you like best about the product?
Simplicity for introduction in UI of the tool. The number of apps available keeps increasing and improving. Also having multiple options for data collection has given our implementation options in different environments.
What do you dislike about the product?
Our biggest issue has been the training to application teams that have no experiance to APM.
What problems is the product solving and how is that benefiting you?
Have intorduced self service to give teams the ability to hands on access to their state of their applicaion. Using DEM adn APM is a big jump from our previous infrastuture monitoring platform.
Dynatrace's davis AI is a quality product that helps the enterprise quicky setup alerts without spending a ton of time fine tuning settings
What do you dislike about the product?
Depending on the quality of the logs generated by the application, sometimes Dynatrace has trouble interpreting them.
This can be solved from the application perspective generating better logs
What problems is the product solving and how is that benefiting you?
Maintaining a robust alerting system that generally alerts for the good reasons
In highly regulated financial environments, configuring monitoring policies across hybrid and multi-cloud infrastructures can be time-intensive.
What problems is the product solving and how is that benefiting you?
Dynatrace provides end-to-end observability into infrastructure, applications, and user experiences within a single platform. This includes metrics, logs, traces, and user session data.
Root-Cause Analysis with AI (Davis AI).
All-in-one monitoring swiss army knife with minor quibbles
What do you like best about the product?
The interconnectedness between panes/graphs/metrics makes connecting an event to a root cause more simple than on other platforms (Splunk).
What do you dislike about the product?
That connection and comprehensive nature sometimes leads to "eye bloat" where seeing the critical item is hidden between other metrics. Certainly the fault of us not creating the right dashboards and notebooks, but there's so much to digest.
What problems is the product solving and how is that benefiting you?
Tomcat node observability makes application troubleshooting much easier when we can see suspect JSPs at a glance.
The ease of deployment, coupled with the speed of data becoming workable. In addition, the visualizations allows for near instant impactful reporting to stakeholders at every level.
This, coupled with deep insights into application security, log insights, and code level debugging, make for a powerful cocktail in the observability space.
What do you dislike about the product?
The current ui has many bugs and annoyances that need to be ironed out. In addition, the elimination of management zones is, for lack of a better word, painful. There could have been more consideration for making DQL more user friendly as well. I don't like having to be a DBA to get functionality out of it.
What problems is the product solving and how is that benefiting you?
Pretty much all of our observability and monitoring runs primarily through DT, and it is core to our SRE and Observability practice.