Publication

In most computer systems log records are an important source for failure detection, monitoring, statistics and various kinds of analytics. Simple log file generation as it is often implemented is not sufficient anymore for large computer systems generating hundreds of gigabytes of log data per day. Those systems need a more sophisticated log storage platform which is able to store hundreds of thousands of log entries per second and offering high performance query capabilities. This thesis proposes a solution using open-source components like Apache HBase and Apache Solr and presents benchmarks of concrete implementations using real data from Amadeus, world’s leading travel transaction operator.

@mastersthesis{abc,
	abstract = {In most computer systems log records are an important source for failure detection, monitoring, statistics and various kinds of analytics. Simple log file generation as it is often implemented is not sufficient anymore for large computer systems generating hundreds of gigabytes of log data per day. Those systems need a more sophisticated log storage platform which is able to store hundreds of thousands of log entries per second and offering high performance query capabilities. This thesis proposes a solution using open-source components like Apache HBase and Apache Solr and presents benchmarks of concrete implementations using real data from Amadeus, world{\textquoteright}s leading travel transaction operator.},
	author = {Martin Alig},
	school = {34},
	title = {Database Logging System},
	year = {2012}
}