Google Cloud published a blog post about how to improve data orchestration reliability and performance with scalable alerting for Apache Airflow. The post provides guidance on how to set up scalable alerting for Apache Airflow on Google Cloud. It starts by discussing the hierarchy of alerting on Cloud Composer, which includes the Composer environment, DAG runs, and Airflow task instances. The article then describes three options for alerting at the Airflow DAG Run and Airflow Task level: log-based alerting policies, email alerts via SendGrid, and third-party tools such as Slack and Pagerduty. The post provides the pros and cons of each option, as well as code samples. Finally, the post provides opinionated guidance on which option is best for alerting in production environments. It recommends using log-based alerting policies because they offer scalable log collection, simple threshold-based alerting, diverse notification channels, metric exploration, and integration with other Google Cloud services. I found this article to be particularly useful because it provides a comprehensive overview of the alerting options available for Apache Airflow on Google Cloud. I also appreciate the opinionated guidance that the article provides, which will be helpful for organizations that are choosing an alerting solution.