Machine Data Using Splunk Forwarder and Clustering
摘要
When handling a large amount of data from scores, data collection becomes necessary for the systematic procedure of the functions. Firstly, this chapter discusses the Splunk forwarder and its types. Secondly, you will also see how to ingest data from the Splunk forwarder into the Splunk indexer, demonstrating the power of machine data. Thirdly, you explore the process of clustering so that you can implement clusters into data collection. Finally, you will see LDAP and SAML used for authentication and credential management in Splunk.