Splunk Enterprise

Splunk offers various features whether you need to setup monitoring on your server, application logs based on logs ingestion set alerts so that teams got notified on real time and take actions accordingly. In this way, it helps to monitor application which are mission critical. You can make dashboards in Splunk where you can configure various components such indexes, data inputs and schedule reports as well. To achieve additional functionalities we can install third party apps as well such as AWS Add on for cloud watch log ingestion.

From Admin perspective, I found user access management a little difficult. The roles of access management becomes complicated because some time the config files for that didn't came very handy. Other then that I think all in all Splunk provides fulfill all of the requirements.

The versatility is amazing. The same data in logs, such as IIS, can be used for Security, Application performance, and even error handling. This allows us to use one log to help multiple teams. This is just one example.

Start up takes someone who has had some training. While searching and output is easy, its the onboarding of custom apps that takes the know how.

Splunk comes with lot of in-built templates for each and every feature like log visualisation, dashboarding, traces,etc This makes the developers life lot easier. I can't think of any other logging tool that is snappy as well as accurate.
I love the fact how easily I can plug it in my docker-compose to push container logs.

Even though, it offers numerous features for different needs, each feature has its own learning curve. For instance log visualisation needs querying skills, which may be in natural language but it takes bit of time to get familiar.

Splunk is provides a single tool for log aggregation, log analysis, and visualizations. Threat hunting, applying threat intelligence, and incident response are easily repeatable; pushing organizations to proactive security processes.

Splunk is expensive, especially when an organizations is exploring and building new security or data use cases. It also requires a lot of engineering maintenance, making the quality of the data highly-dependent on the skill(s) of those supporting it. Many organizations do not maximize its benefit because it is poorly managed or supported by low-skilled employees.