Log management

Your organization may generate large amounts of log data and events through applications, networks, systems, and users, and requires a systematic process to manage and monitor different data across log files. Log management requires a continuous process of centrally collecting, parsing, storing, analyzing, and disposing of data to provide actionable insights for supporting troubleshooting, performance enhancement, or security monitoring.

Computer-generated data that serves as a primary source for information about activities, usage patterns, and operations on your applications, servers, or other devices can be stored as log files. Use log files to identify and analyze situations where applications, networks, and systems experience bottlenecks or performance issues. Log files provide detailed information about every action and provide insights into identifying root causes of anomalies or problems.

Managing log files requires collecting data from multiple sources of logs, and these are the most common types of log files:

• System logs - logs that record events generated within an OS, such as driver errors or CPU usage.
• Application logs - logs generated when an event occurs inside an application. Use application logs to measure and understand how your application functions after releasing it or during the development cycle.
• Security logs - logs generated when security events such as unsuccessful login attempts, failed authentication requests, or password changes occur in your organization.