Apache Airflow is one of the most important components in our Data Platform, used by different teams inside the business. It powers all of our data transformations, fraud detection mechanisms, data…

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Learnings and insights from running Airflow on Kubernetes for 2 years, including executor choices, decoupling and dynamic DAG generation, fine-tuning configurations, and notifications/alerting/observability.

What we learned after running Airflow on Kubernetes for 2 years

Notifications, alerting, and observability

<p>CI/CD on airflow via Github, Nice.</p>
