Summary

In this chapter, we went through the architectural enhancement done by Splunk in order to speed up data ingestion and indexing to Splunk by utilizing the underutilized resources. We went through index and search parallelization and how it enhances and scales the performance of Splunk. We also went through the details of the data integrity control mechanism and intelligent job scheduling that was introduced in Splunk Enterprise 6.3. Later, we studied how the app key-value store can be used to maintain a state and other information. The last part of this chapter was concentrated on Splunk Enterprise security techniques, implementations, and configuration. We also studied in detail SSO using SAML that was introduced in Splunk 6.3. In the ...

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