Tell about your experience with log viewing.

Log viewing is an integral part of daily work.

I use logs for:

Finding and analyzing the causes of defects.
Debugging automated tests.
Monitoring system status in test environments.
Confirming the correct operation of functionality based on log entries.

I have worked with various logging systems:

Browser console (Developer Tools) — for frontend. Allows tracking JavaScript errors, network requests, and console.log messages.
Server file system — access via SSH to view logs in text files. I use commands like tail, grep, less.
```
tail -f /var/log/myapp/application.log | grep "ERROR"
```
Centralized logging systems (ELK Stack, Splunk). These systems simplify searching, filtering, and analyzing logs from different sources. In ELK Stack, I worked with:
- Elasticsearch — for data search.
- Logstash — for collecting and processing logs.
- Kibana — for visualization and analysis, building dashboards.

Main approaches to working with logs:

Filtering: Searching by keywords (ERROR, WARN, INFO, specific user ID, request ID), time ranges, message types.
Correlation: Linking log entries from different services or system components by a common request identifier (Trace ID, Correlation ID).
Stack trace analysis: Studying the sequence of function calls to identify where the error occurred.
Monitoring metrics from logs: Extracting data for creating graphs and alerts (e.g., number of errors per minute).

Experience working with logs is critical for quickly identifying the root cause of problems and effectively communicating with developers, providing them with precise information (error time, context, relevant log messages).