Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
$0
per synthetic request
HPE OneView
Score 9.1 out of 10
N/A
HPE OneView is an IT infrastructure monitoring platform, from Hewlett-Packard Enterprise.
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
I have found that HPE OneView is well suited for all of our scenarios in our shared data center platform to control all the compute hardware with firmware, patches and profiles of all compute components.
We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
Dynatrace does not monitor easily on a C-based application.
The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
Managing the 3Pard Oneview will allow you to do things like reuse LUN IDs and setup multiple export groups with the same volume. This can cause performance issues, or worse. They could do a better job of protecting you from yourself...
We have got tremendous support and response from the dynatrace support team as well as the larger community. We still have issues like the lack of role based administration, but we are told that it may be coming in a future release. The team is very supportive and has assisted us in several tough situations.
Dynatrace is great to use once you understand how to use it correctly and get used to the layout of it. While I do not actively use it every day, whenever I do use it, I do have to get refamiliarized with it. However, once you have your dashboards setup correctly with the data that you want to see when you first login to Dynatrace, it's amazing.
I wish I could have given the ten points but based on my experience in past I am reducing by two points as the penalty. But I am sure that it will have improved in the past few months. They need some improvement on ticket handling. Overall I appreciate some of the support folks who responded quickly and also were ready to jump on the Webex and get the problem understood to fix it.
Support and training when we implemented OneView were excellent. We haven't required any additional support since we put it in and configured it for our systems. The OneView systems have been stable through updates and HPE documentation is excellent.
Like I mentioned earlier, Dynatrace is a great tool but comes with a heavy price tag. On the other hand, Foglight offers a slightly lower level of expertise in application monitoring but fulfils almost all the requirements you would commonly have. The only major feature lacking in Foglight is the predictive monitoring feature. If you are an SME struggling with budgets, then predictive monitoring is something you can certainly live without.
