Get Instant Solutions for Kubernetes, Databases, Docker and more
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. It is designed to orchestrate complex computational workflows and data processing pipelines. Airflow allows users to define tasks and their dependencies as code, which makes it easy to manage and scale workflows.
The AirflowSchedulerHighMemoryUsage alert indicates that the Airflow Scheduler is consuming an unusually high amount of memory resources. This can lead to performance degradation and potential system instability if not addressed promptly.
The Airflow Scheduler is a critical component responsible for scheduling tasks to run on the Airflow workers. It continuously monitors the DAGs and triggers task instances based on their dependencies and schedules. High memory usage by the scheduler can be caused by various factors, including inefficient DAG designs, memory leaks, or insufficient memory allocation.
To resolve the AirflowSchedulerHighMemoryUsage alert, consider the following steps:
For more information on optimizing Apache Airflow, consider visiting the following resources:
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)