Table of Contents

* Part I: Splunk's Basic Operation: Getting to Know Splunk * Part I: Splunk's Basic Operation: Getting Data into Splunk * Part I: Splunk's Basic Operation: Processing and Analysing the Data * Part I: Splunk's Basic Operation: Visualizing the Results * Part I: Splunk's Basic Operation: Defining Alerts. * Part I: Splunk's Basic Operation: Web Site Monitoring * Part I: Splunk's Basic Operation: Using Log Files to Create Advanced Analytics * Part II: Airline On-Time Performance Project: On-Time Project Description * Part II: Airline On-Time Performance Project: Getting Flight Data Into Splunk * Part II: Airline On-Time Performance Project: Analyzing Airlines, Airports, Flights, and Delays * Part II: Airline On-Time Performance Project: Analyzing a Specific Flight over Time * Part III: Social Media: Analyzing Twitter Data * Part III: Social Media: Analyzing Foursquare Check-Ins * Part III: Social Media: Sentiment Analysis * Part IV: Architecture and Deployment: Distributed Topologies * Part IV: Architecture and Deployment: High Availability * Appendix A: The Performance of Splunk * Appendix B: Related Applications

About the Author

Peter Zadrozny is an independent consultant specialized in big data, software performance, and architecture. He is also a lecturer on big data topics at San Jose State University. He has held various executive and technical roles in many countries around the world for startups as well as Fortune 500 companies. He started the operations of WebLogic in Europe and Sun Microsystems in Mexico. He is an accomplished author with various successful books, a magazine, and was an original contributor to The Grinder, a popular open source project.