diff --git a/examples/services/cleanup_service.py b/examples/services/cleanup_service.py
new file mode 100644
index 00000000..c18862a7
--- /dev/null
+++ b/examples/services/cleanup_service.py
@@ -0,0 +1,105 @@
+"""
+This service will archived experiments and their accompanying debug samples, artifacts and models
+older than 30 days.
+
+You can configure the run by changing the `args` dictionary:
+- archived_age_cleanup_in_days (float): The earliest day for cleanup.
+                                        Only tasks older to this will be deleted. Default: 30.
+- cleanup_period_in_days (float): The time period between cleanups. Default: 1.
+- run_as_service (bool): The script will be execute remotely (Default queue: "services"). Default: True.
+- force_delete (bool): Allows forcing the task deletion (for every task status). Default: False.
+
+Requirements:
+- trains_agent installed -> pip install trains_agent
+
+"""
+import logging
+import os
+from datetime import datetime
+from glob import glob
+from shutil import rmtree
+from time import sleep, time
+
+from trains_agent import APIClient
+
+from trains import Task
+
+# Connecting TRAINS
+task = Task.init(
+    project_name="DevOps",
+    task_name="Cleanup Service",
+    task_type=Task.TaskTypes.service,
+    reuse_last_task_id=False,
+)
+
+# set the base docker including the mount point for the file server data data
+file_server_mount = "/opt/trains/data/fileserver/"
+task.set_base_docker(
+    "ubuntu:18.04 -v /opt/trains/data/fileserver/:{}".format(file_server_mount)
+)
+
+# experiment template to optimize in the hyper-parameter optimization
+args = {
+    "archived_age_cleanup_in_days": 30.0,
+    "cleanup_period_in_days": 1.0,
+    "run_as_service": True,
+    "force_delete": False,
+}
+args = task.connect(args)
+
+
+# if we are running as a service, just enqueue ourselves into the services queue and let it run the optimization
+if args["run_as_service"]:
+    # if this code is executed by `trains-agent` the function call does nothing.
+    # if executed locally, the local process will be terminated, and a remote copy will be executed instead
+    task.execute_remotely(queue_name="services", exit_process=True)
+
+print("Cleanup service started")
+
+while True:
+    print("Starting cleanup")
+    client = APIClient()
+    # anything that has not changed in the last month
+    timestamp = time() - 60 * 60 * 24 * args["archived_age_cleanup_in_days"]
+    page = 0
+    page_size = 100
+    tasks = None
+    while tasks is None or len(tasks) == page_size:
+        tasks = client.tasks.get_all(
+            system_tags=["archived"],
+            only_fields=["id"],
+            order_by=["-last_update"],
+            page_size=page_size,
+            page=page,
+            status_changed=["<{}".format(datetime.utcfromtimestamp(timestamp))],
+        )
+        page += 1
+
+        # delete and cleanup tasks
+        for task in tasks:
+            # noinspection PyBroadException
+            try:
+                # try delete task frm system
+                client.tasks.delete(task=task.id, force=args["force_delete"])
+                # if we succeeded, delete the task output content
+                task_folders = glob(
+                    os.path.join(file_server_mount, "*/*.{}/".format(task.id))
+                )
+                for folder in task_folders:
+                    print("Deleting Task id={} data folder {}".format(task.id, folder))
+                    # noinspection PyBroadException
+                    try:
+                        rmtree(folder)
+                    except Exception:
+                        logging.warning("Failed removing folder {}".format(folder))
+            except Exception as ex:
+                logging.warning(
+                    "Could not delete Task ID={}, {}".format(
+                        task.id, ex.message if hasattr(ex, "message") else ex
+                    )
+                )
+                continue
+
+    # sleep until the next day
+    print("going to sleep for {} days".format(args["cleanup_period_in_days"]))
+    sleep(60 * 60 * 24.0 * args["cleanup_period_in_days"])