Apache Airflow for Orchestration and Monitoring of Apache Druid

Maintaining mission-critical services at scale requires robust operational analytics systems with high availability and low data latency. At Rill, this involves proactive monitoring of data pipelines and infrastructure using tools like Apache Druid and Airflow. The approach emphasizes early warnings, integration into existing workflows, and minimal maintenance. Key strategies include using Slack and Opsgenie for alert notifications, prioritizing alerts based on urgency, and ensuring that resolution processes are linked to the teams most familiar with specific business logic. The architecture supports flexibility and comprehensive alerting through a framework that considers data lifecycle and types of alerts. To achieve this, Rill integrates Airflow with Slack and Opsgenie, establishes priority routing for alerts, and documents incidents for learning and improvement.