sf-debug

Salesforce debug log analysis detects SOQL, DML, CPU, and heap pressure by parsing logs to flag warning and critical governor limit thresholds. It computes limit usage, scores severity, and generates step-by-step remediation recommendations for developer workflows.

Finding SOQL-in-loop patterns in Apex debug logs is done by parsing transaction traces and detecting repeated query calls within loops. The analysis identifies these bulkification failures and recommends map-based collection approaches to resolve the performance bottleneck.

Yes, sf CLI log output and debug files are parsed to diagnose Apex CPU spikes by profiling CPU usage and identifying method hotspots. It surfaces slow methods and computes limit usage to pinpoint the root cause of performance bottlenecks.

Troubleshooting non-selective SOQL queries involves parsing debug logs to identify query-plan evidence and slow methods. The analysis detects non-selective queries, scores their severity, and provides actionable fix recommendations to resolve performance bottlenecks.

Yes, Salesforce log analysis supports real-time tailing for specific org aliases and users. It parses sf CLI log output to monitor live Apex transactions, detecting exceptions and governor limit breaches as they occur.

Debug log analysis for Salesforce governor limits is needed to diagnose runtime failures and heap pressure without manual log spelunking. It surfaces exceptions, stack traces, and method hotspots to find root causes quickly.