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Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
Real User
Top 20
A scalable, and stable solution for one's capacity and debugging needs
Pros and Cons
  • "When it comes to the ability to scale up the product, this is suitable for small medium and large environments,"
  • "The AI features should be addressed in respect of the analysis and intelligence that must be supported and delivered in the tool to predigest the large amounts of data."

What is our primary use case?

We use the solution for application performance, as well as capacity. We also use it for debugging. As we have a packet, we can look to this should the need arise. 

What is most valuable?

This kind of question is nonsensical to me since the tool is selected based on the service it is supposed to provide. No tool is simple, in as much as they all require certain competency skills. Firstly, a proper and wide range of the IT system is required. Secondly, there must be sufficient time to learn about the format of the tool, how it is designed and how it must be used. This applies to every tool, be it APM, NPM or SIEM. With this in mind, it is up to the user to have the competency and requisite knowledge of the landscape and system so that he may use it properly. 

Of course, there are certain tools which have, lets say, a nicer dashboard than others, such as Dynatrace. But, the dashboard is merely an extra service provided by the tool. The actual purposes of the tool and its attendant advantages is not the dashboard. It is to provide intelligence for understanding and analyzing the traffic and for reproducing and doing synthetics.

Really, this question comes back to the person involved, the one who purchases the product and defines its need. 

What needs improvement?

The AI features should be addressed in respect of the analysis and intelligence that must be supported and delivered in the tool to predigest the large amounts of data.


For how long have I used the solution?

I have been using Riverbed SteelCentral AppResponse for perhaps six or seven years. 

What do I think about the stability of the solution?

The solution is stable.

What do I think about the scalability of the solution?

First there is a need to define the term flexibility, whether we are talking about the capacity of the tool to be used in various, multiple diverse environment, or its capacity to be, let's say, customized in terms of GUI for the user. 

When it comes to flexibility, I start with certain predefined rules, such as those respecting the dashboard. I can then easily add my own rules to match my goals and environment.

When it comes to the ability to scale up the product, this is suitable for small medium and large environments, PPG and Volkswagon being examples. It is no secret that we are a big company and the solution allows for growth and absorption. 

How was the initial setup?

The installation is complex, although this rule applies to all tools. Consequently, there are no improvements of which to speak of in this area. It has been a number of years since installation took place. 

What's my experience with pricing, setup cost, and licensing?

The solution is no more expensive than other products. At the end of the day all solutions are always expensive. It all depends on how one wishes to spend his money. There are a host of solutions, some being open source, others being GitHub and there are expenses involved in the manpower requirements relating to their internal maintenance. 

What other advice do I have?

I rate Riverbed SteelCentral AppResponse as an eight out of ten, as I do not consider it to be the best in its class. A nine I would reserve for Dynatrace or AppDynamics. 

Which deployment model are you using for this solution?

Hybrid Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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