Top Use Cases for IBM i Data in Splunk: IT Operations Analytics
Many organizations, across all industries, are turning to Splunk solutions to meet their IT Operations Analytics challenges
Ensuring the optimal performance and availability of IT systems and applications, while also controlling IT costs and maximizing the use of critical resources, has become a significant challenge for IT professionals.
With today’s powerful IT Operations Analytics (ITOA) platforms, like Splunk, we are able to unlock the value that has been hidden in the detailed logs that are generated by enterprise systems. Splunk automates the collection, indexing and alerting of machine data that’s critical to your operations; unfortunately, IBM i systems have been left out of most Splunk environments because the machine data generated by these systems is unique and requires specialized skills to work with.
1. STRUCTURE. Machine data usually comes in files of semi-structured, unformatted data. Of course, each system or “machine” has its own
way of logging data, which makes this task even more challenging.
2. SEQUENCE. Machine data is mostly sequential. This means, to get the most meaningful insights, you must look at the entire chain of events.
3. VOLUME. Machine data volumes can be massive. With hundreds of servers and other types of systems, dozens of applications and logs
recording every step of a given event or transaction, volumes can easily reach terabytes of data per day.
4. TIMING. We all know data loses value over time, but when it comes to operational intelligence, the value diminishes exponentially. That’s
why both real-time data and a researchable historical record for analysis is critical for machine data.
These factors alone can make an operational intelligence initiative far more complicated than a traditional business intelligence project. As a
result, operational intelligence requires an unconventional approach involving ITOA powered by multiple, simultaneous streams of machine
data, correlated together and possessing a searchable, continuous machine record.
In the final part of our 3-part series on the top use cases for including IBM i data in Splunk, we explore why including IBM i in your enterprise-wide view in Splunk, you can focus your time analyzing the insights that will address your operational issues and security mandate and drive your business. Read our eBook to learn more.