Systems | Development | Analytics | API | Testing

Every year, retailers invest millions in uptime. Yet when disaster strikes, most discover their DR plan protects infrastructure, not the business that runs on it. “It wasn’t the outage that hurt us most. It was the 45 minutes we had no idea it was happening.” – CTO, UK fashion retailer, post-incident review You have a DR plan. Your infrastructure team tested it six months ago. Your board presentation has a green tick next to Business Continuity.

If you’re running Microsoft Dynamics 365 and relying on RSAT (Regression Suite Automation Tool) to keep your test automation ticking, there’s a deadline you cannot afford to ignore: RSAT support ends on 15 May 2027. That’s not far away, and the decisions you make now will shape how painlessly your QA practice survives the transition. So let’s talk about what comes next and why the answer is more interesting than you might expect.

There is a moment most travel platform teams are now experiencing for the first time. The AI-powered booking assistant is live. The conversational search feature is generating rave reviews from product managers. The personalised itinerary engine is pulling data from a dozen microservices in real time. And then peak season arrives. Response times climb. The AI layer starts queuing. The booking funnel drops. Users abandon. And the engineering team realises something uncomfortable.

A strategic framework for using AI-powered quality engineering to accelerate delivery without sacrificing regulatory requirements.

Are you still relying on manual testing for your Dynamics 365 Finance & Operations (D365 F&O) environment? In today’s fast-paced digital landscape, where Microsoft rolls out frequent updates and business needs evolve rapidly, manual testing is no longer just inefficient. It’s a strategic risk.

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.