We mostly work with developers. They run some pipelines, and they use Splunk as a platform to identify the errors, instead of themselves debugging the logs and understanding what the issue is. This is one side of the business. On the other side of the business, we use the Splunk database for frozen buckets where we archive the data.
We can easily integrate it with other tools for monitoring our entire IT data infrastructure. I also handle AppDynamics. We have integrated Splunk and AppDynamics. With one click, we can understand what the actual issue is. It brings down the time to resolve. We have had some good experiences.
It improves our operational efficiency every day. In my previous company, we had integrated it with ServiceNow. For defined alerting conditions, it could directly open up a ticket for the right team. We did not have to look into a thousand cases to understand a problem.
In terms of integrations, most of the plugins are already available. If a plugin is not available, even then it is pretty easy to integrate. There are multiple ways to integrate. You can use the REST API and just forward the data. It can be easily integrated.
It makes it easy to have end-to-end visibility in the cloud environment. There are multiple types of devices in an environment. You might have AWS, Microsoft Azure, or something else. It operates beautifully. It is easy to integrate. This is the best part.
I am in the banking industry. It helps to keep track of how well our application is performing when somebody tries to do a transaction. There are multiple pieces to it, and we keep track of everything. We have our own business dashboard that the top-tier leaders can look into. All the visibility is there because of it.
I find the monitoring console very helpful. With one click, I can see how we are performing, and at the same time, I can see what data is flowing.
The clustering part of indexes can be more refined.
They can cut down a bit at the monetary level for the long-time customers. We recently had a scenario where we were in discussions to see if there was any flexibility from Splunk's side.
I have been using this solution for the past two years. I have also used it in my previous company.
It is pretty scalable. I would rate it a nine out of ten for scalability.
I have worked with Kibana and Logstash, but they are not comparable to this solution.
Overall, I would rate it an eight out of ten.