{"id":66822,"date":"2026-08-13T09:35:55","date_gmt":"2026-08-13T07:35:55","guid":{"rendered":"https:\/\/www.locus-solus.org\/?p=66822"},"modified":"2026-08-31T23:53:59","modified_gmt":"2026-08-31T21:53:59","slug":"what-is-workflow-orchestration-2","status":"publish","type":"post","link":"https:\/\/www.locus-solus.org\/index.php\/2026\/08\/13\/what-is-workflow-orchestration-2\/","title":{"rendered":"What is Workflow Orchestration?"},"content":{"rendered":"

\"workflow<\/p>\n

Apache Airflow is the most widely adopted open-source workflow orchestration platform for data engineering. But for Python-based data pipelines, it’s one of the most developer-friendly options available. The dashboard shows flow run history, current state, failure rates, and duration trends without requiring custom logging infrastructure. The platform supports decision tables using DMN (Decision Model and Notation), separating business rules from process logic. It also supports sub-workflows, error handling paths, and parallel execution.<\/p>\n<\/p>\n