What is log analysis?
Log analysis is the term for the analysis of computer-generated data sets in order to help organizations, companies or networks to proactively and reactively mitigate various risks. Most organizations and businesses are required to perform data logging and log analysis as part of their security and compliance regulations. Log analysis helps reduce problem diagnosis, resolution time and more effective administration of applications and infrastructure.
The protocols used in protocol analysis are mostly provided by operating systems, applications, network devices, or similar devices. Logs are typically stored in a storage device such as a hard drive or an application such as a log collector. In most cases, the log messages are application specific and the messages must be interpreted in the context of the application or system. Historical analysis can provide much-needed support for an existing or new data source. All log analysis tools combine with the unstructured data such as system logs, CPU data, configuration files, and application logs and then analyze these logs to provide valuable information. Log analysis components work together to determine the causes of the unstructured data. Regular log analysis helps to reduce and avoid the various risks associated with the company. There is evidence of what happened, the factors that determined the cause and the effects. It thus helps to develop countermeasures and models to reduce the risks.
Log analytics are often used when properly implemented in the environment in question. It increases security awareness, and a quick detection of failed processes, network failures or protocol errors is possible through protocol analysis. Analysis of logs helps determine trends, and the data stored in data archives through log analysis helps improve search capabilities and performance. Another benefit of log analysis is that it facilitates dynamic data streaming, which is scalable across the various remote sources.
Log analysis is mainly done based on security or audit compliance, forensics, responses to security incidents, or system failures.