gcp-managed-airflow-recommendations
Provides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA, Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Cloud Composer, scaling Airflow environments, preventing workload restarts, or analyzing system health.
- Version
- v1
- License
- Apache-2.0
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/gcp-managed-airflow-recommendations/SKILL.md
- skills/gcp-managed-airflow-recommendations/LICENSE
- skills/gcp-managed-airflow-recommendations/references/gcloud_reference.md
- skills/gcp-managed-airflow-recommendations/scripts/dag_parsing_stats.py
- skills/gcp-managed-airflow-recommendations/scripts/environment_health.py
- skills/gcp-managed-airflow-recommendations/scripts/lib/__init__.py
- skills/gcp-managed-airflow-recommendations/scripts/lib/flagutils.py
- skills/gcp-managed-airflow-recommendations/scripts/lib/monitoring.py
- skills/gcp-managed-airflow-recommendations/scripts/workload_cpu_usage.py
- skills/gcp-managed-airflow-recommendations/scripts/workload_disk_usage.py
- skills/gcp-managed-airflow-recommendations/scripts/workload_memory_usage.py
- skills/gcp-managed-airflow-recommendations/scripts/workload_restarts.py
Every link opens the file at its source, pinned to the revision this page describes.