Revue de presse
"The authors provide a way to simplify the complex process of analyzing large quantities of varied logs. The log management and log analysis approaches they recommend are addressed in detail."--Reference and Research Book News, August 2013 "…Anton Chuvakin and his co-authors Kevin Schmidt and Christopher Phillips bring significant real-world experience to the reader and an important book on the topic....For those that want to find the gold in their logs…[it] is a great resource that shows how to maximize the gold that often lays hidden in your large stores of log data."--RSA Conference, December 2012
Présentation de l'éditeur
The book consists of 22 chapters that cover the basics of log data; log data sources; log storage technologies; a case study on how syslog-ng is deployed in a real environment for log collection; covert logging; planning and preparing for the analysis log data; simple analysis techniques; and tools and techniques for reviewing logs for potential problems. The book also discusses statistical analysis; log data mining; visualizing log data; logging laws and logging mistakes; open source and commercial toolsets for log data collection and analysis; log management procedures; and attacks against logging systems. In addition, the book addresses logging for programmers; logging and compliance with regulations and policies; planning for log analysis system deployment; cloud logging; and the future of log standards, logging, and log analysis.
This book was written for anyone interested in learning more about logging and log management. These include systems administrators, junior security engineers, application developers, and managers.
- Comprehensive coverage of log management including analysis, visualization, reporting and more
- Includes information on different uses for logs -- from system operations to regulatory compliance
- Features case Studies on syslog-ng and actual real-world situations where logs came in handy in incident response
- Provides practical guidance in the areas of report, log analysis system selection, planning a log analysis system and log data normalization and correlation