The solution is primarily used for monitoring such as network monitoring, application performance monitoring, infrastructure monitoring, et cetera. We also use it for the AI/ML to understand the kinds of effects that are coming from their different monitoring solutions. It can give a root cause analysis using multiple data points. It can monitor for and explain downtime and reduce the work of the ID operations team as it provides them with a root cause analysis for downtime events.
The different layers of monitoring helped to optimise the resource and reduce MTTR.If I found the issue in Infrastructure then team only focus in the infrastructure layer
The solution has very good capacity and performance analytics. That is one section, which actually provides a lot of insights. I can see, for example, how my system is performing, and what kind of load is there in the systems.
The dashboard is excellent and allows me to get quite granular, which I find quite helpful.
The initial setup is straightforward.
Technical support is good and the solution does offer pretty good documentation.
The AI/ML is still not quite giving the right results, the right root cause analysis. That needs to be improved. They claim that they give the root cause analysis in the exact right percentage, however, we find that usually whatever the root cause analysis it shows actually isn't the actual root cause. Therefore we've found that the AI/ML is actually not working properly. That needs to be improved a lot.
If I'm getting not the right root cause analysis, then definitively I have to go back and verify the different monitoring solutions to look for the root cause, which takes time.
The stability could be more reliable.
It would be ideal if correlations had their own dashboard. It would help to minimize the time gaps we create when we have to individually go back to check all the monitoring data points.
The pricing is high. We aren't getting the value we imagined out of the product.
I've used the solution for at least the last 12 months or so.
I don't find the reliability to be so good on the solution. The stability could be better.
We have 50 users on the solution currently.
In terms of scalability, I would say it's good, however, it's definitely not perfect. If you aren't yet getting the right results, it doesn't make sense to scale it.
As of right now, we have no plans to increase usage.
We have found that both the documentation on offer and the technical support is quite good. there are no complaints in that regard. They are helpful and responsive and we're quite happy with the level of service we receive when we need it.
The real setup was straightforward, as all the monitoring solutions we were using were CA only. Due to that, there is a no-hassle login figure thing for the DX setup. Therefore, I wouldn't describe the process as overly complex or difficult.
The solution uses a subscription-based model.
The pricing could be better. From the perspective of a value proposition, what I'm expecting from products that I'm not getting. That makes us assume that the pricing is high.
There aren't additional costs beyond the main licensing fee.
We are a customer and an end-users.
This solution does not have an on-premises deployment option. It is only available on the cloud.
I would advise a company looking for a solution such as this first start do a POC, and really look for the results on the raw data, your own broad data, rather than just going with a company that hasn't been tested. You should place your data into the system and see how the AI/ML is working. If the result is you can get 60, 70, 80% accuracy, you should go with it.
I'd rate the solution at a four out of ten. There are many aspects of the solution that still need improvement.
