ApexIntermediategovernor-limitsmonitoringdefensive
Architect Apex governor limit monitoring and defensive coding
Real World Scenario
Intermittent "Apex CPU time limit exceeded" errors plague production with no clear reproduction in sandbox.
Expected Answer
• Log Limits.getCpuTime(), getQueries(), getDmlRows() at method entry/exit in debug framework
• Custom logging object capturing limit snapshots on threshold breach in production
• Defensive early exit when approaching 80% of limit with queued continuation
• Reduce regex, JSON parsing, and nested loops in hot paths
• Event Monitoring Transaction Security for CPU anomaly detection if licensed
• Load test with production-like data volumes in full sandbox
• Code review checklist includes limit impact for new trigger logic
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Main difference: use case and scale. Log Limits.getCpuTime(), getQueries(), getDmlRows() at method entry/exit in debug framework. Custom logging object capturing limit snapshots on threshold breach in production. Pick based on your integration pattern and team capability. Limit errors are scalability signals—architects instrument limits in production, not only debug during development. Balance speed of delivery with maintainability.
Architect Perspective
Limit errors are scalability signals—architects instrument limits in production, not only debug during development.