We are a solution provider with many technologies. We use Splunk to customize solutions with Splunk. For example, we try to give our customers a great visualization experience. And sometimes we develop on the Splunk platform, like JavaScript, to provide the customers a better visualization. We also implement ITSI. In-house we can implement Enterprise Security.
We can customize the visualization. For example, if the customer wants to have a better visualization experience, we can develop it on the front-end of the platform in order to provide a better user experience.
The flexibility to develop and consolidate many solutions into one platform is great. We've portrayed many parts of the solution in order to provide complete solutions. We can develop various parts that customers desire into Splunk platform due to the fact that it is so flexible and does allow for customization and specific tweaks.
Some of our customers occasionally require the development of the connectors when there are no native connectors so that we can develop in Python or for customer slash comments as well. If they could adjust that, it would be ideal.
We've been using the solution for a while. We implement it for clients.
The solution is great in terms of stability. It doesn't have bugs and it's not glitchy. It doesn't crash or freeze. It's rather reliable.
The scalability is great. We can scale horizontally, meaning we can deploy a small solution, and if, according to the needs, it needs to expand, it can horizontally do so.
We implement Splunk to our clients, and they all vary in size. We've implemented it to banks and in places where there are more than 500 users on Splunk. Some of the implementations were sizable.
Typically, implementation is complex initially. Splunk is easy to set up when you are looking at the basics. When you're looking for advanced configurations or advanced development it's never easy but it's possible.
We are a Splunk reseller. We're consultants. We use Splunk to develop a solution for our customers and therefore use multiple deployment models.
Overall, on a scale from one to ten, I would rate this solution at a ten.
