What is our primary use case?
We typically use it for centralized log management and SIEM functionality.
I am using the most recent version of it.
How has it helped my organization?
As per government requirements, a lot of government sites have to have the active monitoring of logs. So, we use their security appliance add-on that essentially combs through the log. It pre-filters and brings out the critical events so that you can focus on those instead of having to create your own searches and whatnot. It helps simplify the process of monitoring security events in the logs for people.
What is most valuable?
The flexibility of the search capability is most valuable. You can use it for more than just a basic log aggregator. It is powerful in that regard.
What needs improvement?
It is a good product, but the Achilles heel for a lot of organizations is the cost model for it because it gets expensive. That's because the model is based on how much data it processes a day, which can be prohibitive, especially if you have a lot of data. A lot of customers may not be ready for the sticker shock on how to fully leverage the product. I realized that the reason for that is that when it was originally designed, it was kind of like a big data modeling application. If they want to have a bigger customer base, they can come out with subsets of their product that are focused on specific things and have different pricing models. It may help with the cost.
To actively use the interface, you have to be able to speak their language. You really need to have Splunk training to use the tool. Integrations are not that bad, but once you get into that developer mindset and you understand the programming query language, then you're pretty flexible in making it work with other products. It could be daunting if you don't have the training. It is akin to being thrown and asked to go write a Python script when you don't know any of the Python language or PowerShell. If you don't know how to form the queries, the words, or the syntax, it can be a hurdle if you're looking everything up.
For how long have I used the solution?
I have been using Splunk for about seven years.
What do I think about the stability of the solution?
It has been very stable. It is pretty rock solid.
What do I think about the scalability of the solution?
It is as scalable as you can afford. We have a pretty small user base of 75 users, and it is mostly data center administration staff, application administrators, and security people. It is more of an in-house solution than a customer-facing solution.
Our usage is moderate. We're okay right now. We primarily use it as a SIEM and log aggregator. We could use it for other things, but the cost is what is preventing us from that at this point.
How are customer service and support?
We've had a few calls, and they're very responsive.
Which solution did I use previously and why did I switch?
We were using an assist log backend with Rsync and Kiwi prior to that. It was more of a co-solution than a cobbled-together solution. Splunk was a big improvement. The main reason for going for it was just the rate at which we were growing. We needed to have something that was more scalable than what we had before.
How was the initial setup?
It was pretty straightforward as compared to most applications. It had the ability to auto-deploy agents to end devices. Splunk infrastructure itself wasn't difficult to deploy or set up. They package that process, and it is pretty well-rounded. They even offer a jumpstart install service to help get it off the ground when you buy in, and those components work really well together.
It was all done within a day. Some of the endpoints took a little bit longer, but the basic install was done in the day.
What about the implementation team?
We used packaged professional services from a partner of Splunk. Our experience with them was very good.
In terms of maintenance, it is pretty simple. There are fewer patches than there would be for supporting a Windows device. There is not much labor to maintain it.
What's my experience with pricing, setup cost, and licensing?
It can be cost-prohibitive when you start to scale and have terabytes of data. Its cost model is based on how much data it processes a day. If they're able to create scaled-down niche or custom package offerings, it may help with the cost. Instead of the full-blown features, if they can narrow the scope where it can only be used for a specific purpose, it would kind of create that market for the product, and it may help with the costing. When you start using it as a central aggregator and you're pumping tons of logs at it, pretty soon, you'll start hitting your cap on what it can process a day. Once you've got that, you're kind of defeating the purpose because you're going to have to scale back.
They're kind of pushing everybody away from perpetual licensing into subscription-based models, which a lot of companies are doing too, but in most environments that I've been in, they prefer to go the perpetual license and then just pay maintenance on top of it. That's because it's easier for them to forecast the big expense up front.
What other advice do I have?
I would advise definitely taking advantage of their professional services and making sure that the administrators and whoever is going to be using the tool go through the training. The cost for the training, which depends on if you're commercial or government, is not that much, and there is a definite value there because if you're trying to learn it on your own with a book, it is going to take forever.
I would rate Splunk a seven out of 10.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
agree with you Mr. Kent this machine have more valuable feature.