Java Applications Log Message Analytics Using Splunk

Splunk is the most-used server for collecting data from different sources, indexing that collected data, analyzing the index data, and preparing reports based on the indexed data. The source of data may be from any environment. The source may be in a structured format or an unstructured format. Splunk provides some intelligent algorithms to understand the indexed data that are used in security, IoT machine logs, and application logs and to provide data analytics.

Splunk Data Sources

Splunk provides a wide range of plugins to support various resources. For example, to understand Windows event logs, it provides one plugin. For understanding Ubuntu machines logs, it provides different plugins. Based on the analysis of logs, Splunk will generate the number of times that the operating system is loaded, the average CPU load in each session, and how many different users logged into the system. It will generate the reports and it can also generate dashboard for live data streaming.

Accelerate Critical Applications

The need to accelerate business critical applications is driving enterprises to search for ever faster storage and network connectivity. Indeed, 2018 seems to be the year in which every sector of the economy is asking if it’s possible to gain quicker insight from business analytics software — even while data sets to be analyzed are continuing to grow in size.

For this reason, the real price of storage is no longer the cost of data at rest, but the velocity at which it travels over a network and the time it takes to draw meaningful, actionable conclusions from it. This is why enterprises are starting to explore NVMe-oF (Non-Volatile Memory Express over Fabric), particularly financial services businesses, online retailers, cloud service providers, and healthcare companies.