Log management ( LM ) includes an approach to dealing with large volumes of computer- generated log messages (also known as audit records, audit trails , event logs, etc.). Log Management generally covers: 
- Log collection
- Centralized log aggregation
- Long-term log storage and retention
- Log rotation
- Log analysis (in real-time and in bulk after storage)
- Log search and reporting.
The primary drivers for log management implementations are concerned with security ,  system and network operations (such as system or network administration ) and regulatory compliance. Logs are generated by Nearly every computing device, and can be directed to different Often Both locations were local file system or remote system.
Effectively analyzing large volumes of various logs can pose many challenges, such as:
- Volume: log data can reach hundreds of gigabytes of data per day for a large organization . Simply collecting, centralizing and storing data at this volume can be challenging.
- Normalization: logs are produced in multiple formats. The process of normalization is designed to provide a common output for analysis from various sources.
- Velocity: The speed at which logs are produced
- Veracity: Log events may not be accurate. This is especially problematic from systems that perform detection, such as intrusion detection systems .
Users and potential users of log management tools May purchase full trading gold Build Their Own log management and intelligence tools, assembling the functionality from various open source components, gold ACQUIRE (sub-) systems from vendors trading. Log management is a complicated process and organizations often makes mistakes while approaching it. 
Suggestions were made [ by whom? ] to change the definition of logging. This change would be easier
- Logging would then be as easy as data and data as in the application or website, as it is represented by data and user input.
- Auditing , then, would be data that is not immediately discardable. In other words, it is stored in the auditing process, and is stored persistently, and is always provided for by some end-user functional requirement.
Logging can be used for the maintenance of applications or websites. It can serve:
- to define a reported bug is actually a bug
- to help analyze, reproduce and solve bugs
- to help test new features in a development internship
One view [ citation needed ] of evaluation of the maturity of an organization of log-management tools [ original research? ] successive levels such as:
- In the initial stages, organizations use different log-analyzers for analyzing the logs in the devices on the security-perimeter. They aim to identify the patterns of attack on the perimeter infrastructure of the organization.
- The use of integrated computing, organizations mandates to identify the access and use of the data security-perimeter.
- At the next level of maturity, the log analyzer can monitor and monitor the performance and availability of systems at the level of the enterprise .
- organizations integrate the logs of various business- applications into an enterprise log manager for better value proposition .
- organizations merge the physical-access monitoring and the logical-access monitoring into a single view.
- Audit trail
- Common Base Event
- Common Log Format
- DARPA PRODIGAL and Anomaly Detection at Multiple Scales (ADAMS) projects.
- Data logging
- Log analysis
- Log management knowledge base
- Security information and event management
- Server log
- Web counter
- Web log analysis software
- Jump up^ http://csrc.nist.gov/publications/nistpubs/800-92/SP800-92.pdf
- Jump up^ “Leveraging Log Data for Better Security” . EventTracker SIEM, Security IT, Compliance, Log Management . Retrieved 12 August 2015 .
- Jump up^ “Top 5 Log Mistakes – Second Edition” . Docstoc.com . Retrieved 12 August 2015 .