Systems | Development | Analytics | API | Testing

The Fivetran binary log reader optimizes change data capture for superior performance when replicating from an Oracle database.

Living near Frankfurt in central Germany, I often drive through the bustling streets of this financial hub, where every business seems to pulse with ambition. A few months ago, I helped a friend who works at a small logistics company in Offenbach. His ERP system was struggling to keep up with growing orders, causing delays that frustrated his team and clients.

Automation has long been a key driver of efficiency. Traditional RPA and IDP technology promised to relieve carriers from rekeying, extracting data from forms, and other repetitive tasks. At Appian, we saw early that automation in isolation doesn't achieve transformative outcomes. Why? Because AI has too often been deployed at the edges of workflows: copilots, chatbots, or analytics dashboards that assist us when prompted.

You know the feeling, you push a new feature, and your tests should catch any issues. But instead, they fail inconsistently, slow down your pipeline, or worse… pass when they shouldn’t. End-to-end testing is always a risk. That's precisely the reason why more teams are turning to end-to-end testing with Playwright. Unlike clunky legacy frameworks, the Playwright testing framework was built for speed, reliability, and cross-browser accuracy all out of the box.