Systems | Development | Analytics | API | Testing

Performance testing without observability is like diagnosing a sick patient using only a thermometer. You get one number. You miss everything that matters. Observability-driven performance testing combines load testing with metrics, logs and distributed tracing to identify not just when performance degrades, but exactly why.

Your dashboards are lying to you, not through bad data, but through incomplete data. They show you what you told them to watch. They cannot show you what you did not know to ask. Telemetry-driven performance engineering uses metrics, logs, traces and profiling to detect and diagnose issues that traditional dashboards cannot capture. The failures that hurt most are not the ones you predicted; they are the ones your monitoring was never designed to catch.

Quick Answer Open Banking performance is as critical as security because slow API responses lead to transaction failures, user abandonment, and loss of trust. To ensure success, banks must optimise latency across API chains, monitor p95/p99 metrics, and design systems for speed from the start. Imagine a digital banking customer. Let’s call him David, standing at a crowded airport terminal. He’s trying to book a last-minute flight through a travel aggregator.

A routine Dynamics 365 Finance & Operations evergreen update introduced “Ledger Posting Logic Enhancements.” No alarms were raised. The system ran smoothly. But behind the scenes, something changed. Revenue postings—critical to how the business understands its performance—started flowing into incorrect accounts and dimensions due to an interaction with custom logic. No crashes. No errors. Just silent misclassification.