diff --git a/pdelfin/beakerpipeline.py b/pdelfin/beakerpipeline.py
new file mode 100644
index 0000000..2223bd0
--- /dev/null
+++ b/pdelfin/beakerpipeline.py
@@ -0,0 +1,133 @@
+import argparse
+import subprocess
+import signal
+import sys
+import os
+import time
+import tempfile
+import redis
+import random
+import boto3
+import atexit  # New import for atexit
+
+from pdelfin.s3_utils import expand_s3_glob
+
+workspace_s3 = boto3.client('s3')
+pdf_s3 = boto3.client('s3')
+
+def populate_queue_if_empty(queue, s3_glob_path):
+    # Check if the queue is empty, and if so, populate it with work items
+    if queue.llen("work_queue") == 0:
+        paths = expand_s3_glob(pdf_s3, s3_glob_path)
+        for path in paths:
+            queue.rpush("work_queue", path)
+        print("Queue populated with initial work items.")
+
+def process(item):
+    # Simulate processing time between 1 and 10 seconds
+    print(f"Processing item: {item}")
+    time.sleep(random.randint(1, 3))
+    print(f"Completed processing item: {item}")
+
+def main():
+    parser = argparse.ArgumentParser(description='Set up Redis Sentinel-based worker queue.')
+    parser.add_argument('--leader-ip', help='IP address of the initial leader node')
+    parser.add_argument('--leader-port', type=int, default=6379, help='Port of the initial leader node')
+    parser.add_argument('--replica', type=int, required=True, help='Replica number (0 to N-1)')
+    parser.add_argument('--add-pdfs', required=True, help='S3 glob path for work items')
+
+    args = parser.parse_args()
+
+    replica_number = args.replica
+
+    base_redis_port = 6379
+    base_sentinel_port = 26379
+
+    redis_port = base_redis_port + replica_number
+    sentinel_port = base_sentinel_port + replica_number
+
+    if replica_number == 0:
+        leader_ip = args.leader_ip if args.leader_ip else '127.0.0.1'
+        leader_port = args.leader_port
+    else:
+        if not args.leader_ip:
+            print('Error: --leader_ip is required for replica nodes (replica_number >= 1)')
+            sys.exit(1)
+        leader_ip = args.leader_ip
+        leader_port = args.leader_port
+
+    temp_dir = tempfile.mkdtemp()
+    redis_conf_path = os.path.join(temp_dir, 'redis.conf')
+    sentinel_conf_path = os.path.join(temp_dir, 'sentinel.conf')
+
+    with open(redis_conf_path, 'w') as f:
+        f.write(f'port {redis_port}\n')
+        f.write(f'dbfilename dump-{replica_number}.rdb\n')
+        f.write(f'appendfilename "appendonly-{replica_number}.aof"\n')
+        f.write(f'logfile "redis-{replica_number}.log"\n')
+        f.write(f'dir {temp_dir}\n')
+        if replica_number == 0:
+            f.write('bind 0.0.0.0\n')
+        else:
+            f.write(f'replicaof {leader_ip} {leader_port}\n')
+
+    master_name = 'mymaster'
+    quorum = 2
+
+    with open(sentinel_conf_path, 'w') as f:
+        f.write(f'port {sentinel_port}\n')
+        f.write(f'dir {temp_dir}\n')
+        f.write(f'sentinel monitor {master_name} {leader_ip} {leader_port} {quorum}\n')
+        f.write(f'sentinel down-after-milliseconds {master_name} 5000\n')
+        f.write(f'sentinel failover-timeout {master_name} 10000\n')
+        f.write(f'sentinel parallel-syncs {master_name} 1\n')
+
+    redis_process = subprocess.Popen(['redis-server', redis_conf_path])
+    sentinel_process = subprocess.Popen(['redis-sentinel', sentinel_conf_path])
+
+    # Register atexit function to guarantee process termination
+    def terminate_processes():
+        redis_process.terminate()
+        sentinel_process.terminate()
+        redis_process.wait()  # Ensures subprocess is cleaned up
+        sentinel_process.wait()
+        print("Child processes terminated.")
+
+    atexit.register(terminate_processes)
+
+    # Also handle signal-based termination
+    def handle_signal(signum, frame):
+        terminate_processes()
+        sys.exit(0)
+
+    signal.signal(signal.SIGINT, handle_signal)
+    signal.signal(signal.SIGTERM, handle_signal)
+
+    # Connect to Redis
+    r = redis.StrictRedis(host=leader_ip, port=redis_port, decode_responses=True)
+
+    # Populate the work queue if this is the leader (replica 0)
+    if replica_number == 0:
+        populate_queue_if_empty(r, args.add_pdfs)
+
+    try:
+        while True:
+            # Try to get an item from the queue with a 1-minute timeout for processing
+            # work_item = r.brpoplpush("work_queue", "processing_queue", 60)
+            # if work_item:
+            #     try:
+            #         process(work_item)
+            #         # Remove from the processing queue if processed successfully
+            #         r.lrem("processing_queue", 1, work_item)
+            #     except Exception as e:
+            #         print(f"Error processing {work_item}: {e}")
+            #         # If an error occurs, let it be requeued after timeout
+
+            queue_length = r.llen("work_queue")
+            print(f"Total work items in queue: {queue_length}")
+            time.sleep(1)
+    except KeyboardInterrupt:
+        handle_signal(None, None)
+
+if __name__ == '__main__':
+    main()