How to: Cloud Composer resources
*This section contains articles that apply to [Cloud Composer](https://cloud.google.com/composer) — a service built by Google Cloud based on Apache Airflow. Tricks and solutions are described here that are intended for Cloud Composer, but may be applicable to vanilla Airflow.*

- [Enabling Autoscaling in Google Cloud Composer](https://medium.com/traveloka-engineering/enabling-autoscaling-in-google-cloud-composer-ac84d3ddd60) - Supercharge your Cloud Composer deployment while saving up some cost during idle periods.
- [Scale your Composer environment together with your business](https://cloud.google.com/blog/products/data-analytics/scale-your-composer-environment-together-your-business) - The Celery Executor architecture and ways to ensure high scheduler performance.
- [pianka.sh](https://github.com/politools/airflow-pianka-sh) - Missing command in the gcloud tool. This tool facilitates some administrative tasks.
- [The Smarter Way of Scaling With Composer’s Airflow Scheduler on GKE](https://medium.com/swlh/the-smarter-way-of-scaling-with-composers-airflow-scheduler-on-gke-88619238c77b) - [Roy Berkowitz](https://www.linkedin.com/in/roy-berkowitz-19922aa9/) discusses more effective use of nodes in the Cloud Composer service.
- [Better together: orchestrating your Data Fusion pipelines with Cloud Composer](https://cloud.google.com/blog/products/data-analytics/easier-management-for-cloud-etl-elt-pipelines) - [Rachael Deacon-Smith](https://www.linkedin.com/in/rachael-deacon-smith-82660172) provides an overview of the operator for Datafusion use case on Cloud Composer.