Filecatalyst Workload Automation [new] (2024)

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 .

# Poll for completion while True: status = requests.get(f"API_BASE/transfer/transfer_id", headers=headers) if status.json()["state"] == "COMPLETED": break time.sleep(5) return True run_transfer("/data/sales.csv", "/incoming/sales.csv") run_transfer("/data/inventory.xml", "/incoming/inventory.xml") print("All workloads completed") 3. Advanced Workload Patterns Pattern 1: Parallel Transfers (Multi-Threaded) Use xargs or Python ThreadPoolExecutor to send multiple files simultaneously. filecatalyst workload automation

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() Since FileCatalyst itself is primarily a high-speed file

fta-cli --log-level DEBUG --log-file /var/log/fc_workload.log --put file.dat automation is achieved through its

Integrate FileCatalyst with OS schedulers.