Dynatrace Review

Shows where the problem is and isolates the issue


What is our primary use case?

Currently, we use Dynatrace to monitor the PCF Cloud Foundry. We just started using it. So far, so good.

How has it helped my organization?

We do not have an effective tool to monitor the PCF Cloud Foundry. Dynatrace closes that gap. We have tried using different tools to monitor Cloud Foundry, but they were all ineffective. 

What is most valuable?

It helps to show you the performance. It also shows you where the problem is, automatically trying to find the problem. It helps to show where the problem is and isolates the issue. 

The installation and configuration were very straightforward and nice.

What needs improvement?

There was one issue with the installation, but the we resolved the issue. It was some issue with the proxy, and we resolved it.

An additional feature that we could use is the rollover. If we could rollover to different datacenters, then it would satisfy our requirement. I.e., if one datacenter fails, then we could rollover to another datacenter.

Right now, they can rollover to a multi-node cluster. Generally, they require a multi-node in the same data center. Our requirement is because we want something in case of a catastrophe, like an earthquake, and the data is possibly wiped out. We need a way to automatically roll it over to another datacenter. 

This is not offered at the moment.

For how long have I used the solution?

Still implementing.

What do I think about the stability of the solution?

So far, stability has been very nice, and Dynatrace runs on the Linux system.

What do I think about the scalability of the solution?

It scales well. 

The only thing is we do have requirements where if one datacenter fails, you need to switch to another datacenter. On this front, Dynatrace was not built. They have active to active standby, but from our talks with Dynatrace, they are not built between datacenters. They need to be logged in at the same datacenter, and if they are logged in at different datacenters, there might be some issues. That is one thing they need to improve on: Datacenters which are geographically located. So, when there is a issue in the datacenter, they can just automatically rollover to another datacenter. 

How is customer service and technical support?

We used technical support. We just start configuring the system and the initial installation. We had one issue when we tried to enter one agent and it just does not work. We got to work with the highest level of support, but it took a while to get there. Initially, we did not get to that level. This is considering maybe it was just after the New Year, and it took a little bit longer than we expected to get to the highest level of support. 

Which solutions did we use previously?

We do use multiple monitoring tools in our organization, including size scope, BPM, and CA APM. We also have RUM and several different monitoring tools. 

We chose Dynatrace, because it is good at monitoring the PCF and also the performance platform is very nice. 

How was the initial setup?

The initial setup was straightforward, very easy and nice. 

What other advice do I have?

AI is very important with the increased complexity of the IT system. IT is very hard to pinpoint the root issues of a problem with AI. It would help you to analyze the issues and let you get to the root issue faster, because people with experience are rare, and with AI, it helps bridge this gap. 

If I had just one solution that could provide real answers, not just data, the immediate benefit would be using only one tool where you do not have the complexity of managing more tools.

Most important criteria when looking for an APM solution: 

  1. I need it to monitor all the different applications. We have a diverse suite of applications, and it needs to support all the different applications. 
  2. It has its own stability and is well supported.
  3. It needs to be scalable. 
Disclosure: IT Central Station contacted the reviewer to collect the review and to validate authenticity. The reviewer was referred by the vendor, but the review is not subject to editing or approval by the vendor.
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