Headless 360Intermediateslomonitoringobservabilityreliability
Monitor and SLO headless channel API reliability
Real World Scenario
Mobile app crash reports spike during checkout but Salesforce dashboards show green API availability.
Expected Answer
• Define SLOs from client perspective: p95 checkout API latency and error rate
• Synthetic transactions from mobile user agents in key geographies
• Distributed tracing correlating client errors to backend span failures
• Real user monitoring capturing failed API responses with sanitized payloads
• Error budget policy pausing releases when SLO breached
• Status page communicating incidents to app teams and partners
• Blameless postmortems distinguishing client bugs vs API regressions
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Main difference: use case and scale. Define SLOs from client perspective: p95 checkout API latency and error rate. Synthetic transactions from mobile user agents in key geographies. Pick based on your integration pattern and team capability. Server-green/client-red is common—architects instrument end-to-end SLOs, not just Salesforce org health. Balance speed of delivery with maintainability.
Architect Perspective
Server-green/client-red is common—architects instrument end-to-end SLOs, not just Salesforce org health.