Splunk Enterprise

We are using Splunk for log monitoring . It is integrated with Kubernetes and pivot cloud via data bus. By Splunk we get Realtime log application. It provides best visualization of data generated by system. Splunk also provide option to filter data based on data range and time. We can configure email alert for specific issue. Splunk also provide ML model for data. Splunk use simple query to get data ,everyone can easily learn Splunk query.

I haven't found any issue yet the only problem with Splunk I have that log in Splunk is scattered . We need to build good query or better logging mechanism at application side.

I love how detailed you can have the dasboards and charts go. It supports tons of chart types, and custom reporting elements. But above all, with the automaetd monitoring, you can have access to continuous insights from large data you wouldn't have been able to make sense of otherwise.

It's quite difficult to set up in the beginning. It took us a lot longer than expected to map our production data onto the system. But once you have it up and running, it works like clockwork

The ablitity to configure and tweak the use cases. Building Intelligence into forensics. The AI feature is gud but needs more enhancements.

The log management needs to be efficient , If the auditing logs is enabled then a huge influx of logs are pumed into splunk but no meaningful meaning can be derived.