I have seen articles discussing Apache Airflow and its many capabilities. It’s crucial to understand production-quality data pipelines meant to “handle” terabytes of daily data generated by the enterprise’s software-as-a-service (SaaS) applications. The article takes you beyond the basic introductory stuff and on to more advanced techniques and best practices for developing scalable, fault-tolerant, and observable Airflow workflows.

Administration for an enterprise in a modern SaaS context is very challenging. It comes with a myriad of challenges in terms of monitoring, administration, and understanding the usage of applications across the organization. It involves the management of increasing amounts of unstructured data with a high tendency for real-time visibility under user activity, resource utilization, and compliance requirements. From this data, organizations need clear insights into usage within their applications to enable them to manage their human resources efficiently and optimally while being effective and compliant. Therefore, they need a powerful Admin Insights pipeline capable of: