Datadog's Error Tracking feature for logs, now available within Datadog Log Management, enhances the ability to identify and prioritize software bugs by intelligently grouping related errors into issues. This tool integrates with Real User Monitoring (RUM) and Application Performance Monitoring (APM), providing diagnostic data like stack traces and error distributions to help pinpoint root causes. Users can manage and sort issues based on error occurrences or age, and utilize workflow states to track remediation progress. Error Tracking allows for deeper dives into individual issues, offering context such as historical error volumes and source code insights. Additionally, it enables the creation of monitors for detecting new issues or high error counts, with alerts sent via integrations like Slack and PagerDuty. This functionality helps reduce noise, accelerate root cause identification, and decrease resolution times, ultimately improving software reliability.