dt-obs-logs

# Log Analysis Skill Query, filter, and analyze Dynatrace log data using DQL for troubleshooting and monitoring. ## What This Skill Covers - Fetching and filtering logs by severity, content, and entity - Searching log messages using pattern matching - Calculating error rates and statistics - Analyzing log patterns and trends - Grouping and aggregating log data by dimensions > **Cross-source join required:** If the query must combine logs with host attributes > (OS type, hostname, IP address, cloud provider) → also read > `dt-dql-essentials/references/smartscape-topology-navigation.md` before writing the query. --- ## Use Cases Use this skill when users want to: - Find specific log entries (e.g., "show me error logs from the last hour") - Filter logs by severity, process group, or content - Search logs for specific keywords or phrases - Calculate error rates or log statistics - Identify common error messages or patterns - Analyze log trends over time - Troubleshoot issues using log data ## Key Concepts ### Log Data Model - **timestamp**: When the log entry was created - **content**: The log message text - **status**: Log level (ERROR, FATAL, WARN, INFO, etc.) - **dt.process_group.id**: Associated process group entity - **dt.process_group.detected_name**: Resolves process group IDs to human-readable names ### Query Patterns - **fetch logs**: Primary command for log data access - **Time ranges**: Use `from:now() - <duration>` for time windows - **Filtering**: Apply seve...