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Log analysis is the process of interpreting computer-generated records called logs. Examples of logs might include: Sign-in and sign-out requests on a website. Transactions made on a currency exchange. Calls made to an informational API.

How Does Log Analysis Work and How Do You Do It?Collect set up a log collector to gather all the logs across your infrastructure.Centralize and index ship the logs to a centralized logging platform.Search and analyze you can search for logs matching various patterns, and structures.More items...?Aug 30, 2021

Server logs usually reside under the /var/log directory (on Linux-based systems). To track these logs in real time you could, of course, perform a simple tail -f command but for more effective log analysis you would want to ship the logs into your centralized logging platform.

How To Do Log AnalysisCollect/export the right log data (usually filtered for search engine crawler User Agents only) for as wide a time frame as possible.Parse log data to convert it into a format readable by data analysis tools (often tabular format for use in databases or spreadsheets)More items...

Log Analysis provides a semi-structured data analytics solution. Use Log Analysis to help you to reduce problem diagnosis and resolution time, helping you to manage your infrastructure and applications more effectively. Log Analysis provides analysis of logs to determine trends.

Log analysis is the process of reviewing computer-generated event logs to proactively identify bugs, security threats, factors affecting system or application performance, or other risks. Log analysis can also be used more broadly to ensure compliance with regulations or review user behavior.

Using web server logs, you can easily know where the problem is coming from and solve it on time. Logs are automatically created by the server and consist of files containing information such as errors, requests made to the server, and other information worth looking at.