diff --git a/robusta_krr/core/integrations/kubernetes.py b/robusta_krr/core/integrations/kubernetes.py
index d8f0978e..74a38560 100644
--- a/robusta_krr/core/integrations/kubernetes.py
+++ b/robusta_krr/core/integrations/kubernetes.py
@@ -23,7 +23,7 @@
     V2HorizontalPodAutoscalerList,
 )
 
-from robusta_krr.core.models.objects import HPAData, K8sObjectData, PodData
+from robusta_krr.core.models.objects import HPAData, K8sObjectData
 from robusta_krr.core.models.result import ResourceAllocations
 from robusta_krr.utils.configurable import Configurable
 
diff --git a/robusta_krr/core/runner.py b/robusta_krr/core/runner.py
index 53b7aa58..3d8907fb 100644
--- a/robusta_krr/core/runner.py
+++ b/robusta_krr/core/runner.py
@@ -120,8 +120,6 @@ async def _calculate_object_recommendations(self, object: K8sObjectData) -> RunR
             step=self._strategy.settings.timeframe_timedelta,
         )
 
-        # self.__progressbar.progress()
-
         self.debug(f"Calculating recommendations for {object} with {len(metrics)} metrics")
 
         # NOTE: We run this in a threadpool as the strategy calculation might be CPU intensive
@@ -133,6 +131,8 @@ async def _calculate_object_recommendations(self, object: K8sObjectData) -> RunR
     async def _gather_object_allocations(self, k8s_object: K8sObjectData) -> ResourceScan:
         recommendation = await self._calculate_object_recommendations(k8s_object)
 
+        self.__progressbar.progress()
+
         return ResourceScan.calculate(
             k8s_object,
             ResourceAllocations(
@@ -153,13 +153,13 @@ async def _collect_result(self) -> Result:
 
         self.info(f'Using clusters: {clusters if clusters is not None else "inner cluster"}')
 
-        # with ProgressBar(self.config, total=len(objects), title="Calculating Recommendation") as self.__progressbar:
-        scans_tasks = [
-            asyncio.create_task(self._gather_object_allocations(k8s_object))
-            async for k8s_object in self._k8s_loader.list_scannable_objects(clusters)
-        ]
+        with ProgressBar(self.config, title="Calculating Recommendation") as self.__progressbar:
+            scans_tasks = [
+                asyncio.create_task(self._gather_object_allocations(k8s_object))
+                async for k8s_object in self._k8s_loader.list_scannable_objects(clusters)
+            ]
 
-        scans = await asyncio.gather(*scans_tasks)
+            scans = await asyncio.gather(*scans_tasks)
 
         if len(scans) == 0:
             self.warning("Current filters resulted in no objects available to scan.")
diff --git a/robusta_krr/utils/progress_bar.py b/robusta_krr/utils/progress_bar.py
index 621dc18c..32bf2116 100644
--- a/robusta_krr/utils/progress_bar.py
+++ b/robusta_krr/utils/progress_bar.py
@@ -14,7 +14,7 @@ class ProgressBar(Configurable):
 
     def __init__(self, config: Config, **kwargs) -> None:
         super().__init__(config)
-        self.show_bar = self.echo_active and False
+        self.show_bar = self.echo_active
         if self.show_bar:
             self.alive_bar = alive_bar(**kwargs)