It provides a machine data fabric, including forwarders, indexers and search heads (see our article on Splunk architecture) that enables real-time collection and indexing of machine data from any network, data center or IT environment. Splunk can be deployed on a single laptop or in a massive, distributed architecture in an enterprise data center. It’s simply possible to pour data into Splunk and immediately begin analysis. Splunk analyzes data dynamically, creating schemas on the fly, allowing organizations to query data without having to understand the data structure first. It can handle terabytes of data or more in any format every day. This enables efficient application management, IT operations management, compliance and security monitoring.Īt the center of Splunk is an engine that collects, indexes and manages big data. Splunk helps organizations extract value from server data. It can recognize data patterns, create metrics and help diagnose problems, for business challenges like IT management, security and compliance. It indexes and correlates information in a container that makes it searchable, and makes it possible to generate alerts, reports and visualizations. Splunk is used for monitoring and searching through big data. A main benefit of Splunk is that it uses indexes to store data, and so does not require a separate database to store its information. Splunk is an innovative technology which searches and indexes log files and helps organizations derive insights from the data.