Filecatalyst Workload Automation [better] May 2026

from airflow import DAG from airflow.operators.bash import BashOperator from datetime import datetime default_args = 'retries': 3 with DAG('fc_transfer_dag', start_date=datetime(2024,1,1), schedule='0 2 * * *', default_args=default_args) as dag: transfer = BashOperator( task_id='send_to_fc', bash_command='fta-cli --server fc.prod.com --put /daily/report.csv --target /archive/' ) Enable detailed logs:

def main(): files_to_send = ["/data/file1.bin", "/data/file2.bin"] for f in files_to_send: # Pre-processing: compute hash with open(f, "rb") as fp: original_hash = hashlib.sha256(fp.read()).hexdigest() filecatalyst workload automation

Since FileCatalyst itself is primarily a high-speed file transfer solution (using UDP acceleration), it does not have a native "Workload Automation" engine built into its core. Instead, automation is achieved through its , REST API , and Hotfolders . from airflow import DAG from airflow

*/30 * * * * /usr/local/bin/fta-cli --server backup.host --put /var/logs/system.log --target /logs/$(date +\%Y\%m\%d)/ >> /var/log/fc_cron.log 2>&1 Create XML task to run fta-cli with arguments. Pattern 4: Error Handling & Retries Wrap CLI calls with retry logic. Pattern 4: Error Handling & Retries Wrap CLI