Hello Everyone, I am working on a book and lecture series on aggregating, processing, searching, analyzing and visualizing large amounts of log data using open source software.
I am at a point now in the process where I would like to solicit use cases for some chapters in the course. I think it is a good idea if we can discuss a variety of use cases that leverages these open source tools to solve these problems. These are some of the key areas of what the book and course is focussed on: - Aggregating Log Data from Multiple Sources at High Velocity and Volume using Apache Flume and Logstash. - Parsing the Raw Log Data to Extract Meaningful Information. - Buffering the Log Events before being routed to centralized storage. - Storing the buffered Log Events in Centralized datastores like ElasticSearch and HDFS. - Processing and make sense of the log data stored in HDFS. - Interrogating and Searching through the log events indexed in ElasticSearch in real time. - Visualizing patterns, trends and information in the log data. If you have a unique setup, strategy, use-case, requirement, need or problem you have solved or are in the process of solving, I would like to hear about it. Please drop me a line at (israel @ aicer dot org) Please make sure to include the phrase "Case Study" in your email subject so that my filters can pick it up. Thank you. Sincerely, Israel Ekpo *Author and Instructor for the Upcoming Book and Lecture Series* *Massive Log Data Aggregation, Processing, Searching and Visualization with Open Source Software* *http://massivelogdata.com*
