Table of Contents

Part 1: Splunk Architecture , Splunk SPL(Search Processing Language) and Splunk Knowledge Objects.- Chapter 1: Overview Of Splunk.- Chapter 2: Splunk Search Processing Language.- Chapter 3: Macros,Field Extraction and Field Aliases.- Chapter 4: Tags, Lookups and Correlating Events.- Chapter 5: Data models, Pivot and CIM.- Chapter 6: Knowledge Manager and Dashboard in Splunk.- Chapter 7: Splunk User/Power User Exam set.- Part 2: Splunk Data Administration and System Administration.- Chapter 8: Splunk Licenses, Indexes and role Management.- Chapter 9: Machine Data using Splunk forwarder and clustering.- Chapter 10: Splunk Advanced Data Inputs.- Chapter 11: Splunk Advanced .Conf file and Diag.- Chapter12: Splunk Admin Exam set.- Part 3: Advanced Splunk.- Chapter 13: Infrastructure planning with Indexer and Search Head Clustering.- Chapter 14: Troubleshooting in Splunk.- Chapter 15: Advanced Deployment in Splunk.- Chapter 16: Advanced Splunk.- Chapter 17: Final Practice set.- 18: Chapter 18: Setting up a Splunk Environment with AWS.

About the Author

Deep Mehta is a AWS Certified Associate Architect, Docker Certified Associate, Certified Splunk Architect (ongoing), and Certified Splunk User, Power User, and Admin. He’s worked on the Splunk platform since 2017 having experience consulting in the telecommunication, aviation, and healthcare industries. Apart from being passionate about big data technologies, he also loves playing squash and badminton.