diff --git a/application_events.json b/application_events.json
index 4ad484d..b1498f4 100644
--- a/application_events.json
+++ b/application_events.json
@@ -1,3797 +1,5 @@
 {
   "events": [
-    {
-      "timestamp": "2025-08-21T16:25:10.369524",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 24 points saved, 16 lost, 0.5% CPU",
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-    {
-      "timestamp": "2025-08-21T16:25:20.394379",
-      "level": "info",
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-      "message": "Performance report: 33 points saved, 7 lost, 0.2% CPU",
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-    {
-      "timestamp": "2025-08-21T16:25:30.417864",
-      "level": "info",
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-      "message": "Performance report: 26 points saved, 12 lost, 0.5% CPU",
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-      "message": "Performance report: 37 points saved, 5 lost, 0.8% CPU",
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-      "timestamp": "2025-08-21T16:25:50.466919",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 34 points saved, 6 lost, 0.2% CPU",
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-      "event_type": "performance_report",
-      "message": "Performance report: 33 points saved, 4 lost, 0.0% CPU",
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-      "event_type": "performance_report",
-      "message": "Performance report: 34 points saved, 6 lost, 0.2% CPU",
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-      "message": "Performance report: 25 points saved, 1 lost, 0.0% CPU",
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-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 30 points saved, 23 lost, 0.5% CPU",
-      "details": {
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-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:26:50.628223",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 39 points saved, 0 lost, 0.6% CPU",
-      "details": {
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-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:27:00.651730",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 30 points saved, 5 lost, 0.5% CPU",
-      "details": {
-        "duration": 10.02401065826416,
-        "points_saved": 30,
-        "points_rate": 2.9928140564442542,
-        "variables_saved": 90,
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-        "points_lost": 5,
-        "cpu_average": 0.5,
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-        "read_errors": 0,
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-        "csv_write_time_avg": 0.0
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:27:10.676073",
-      "level": "info",
-      "event_type": "csv_recording_stopped",
-      "message": "🔥 CRITICAL: CSV recording stopped (dataset threads continue for UDP streaming)",
-      "details": {
-        "recording_protection": false,
-        "performance_monitoring": false
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:27:10.700296",
-      "level": "info",
-      "event_type": "udp_streaming_stopped",
-      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:27:10.906102",
-      "level": "info",
-      "event_type": "dataset_deactivated",
-      "message": "Dataset deactivated: DAR",
-      "details": {
-        "dataset_id": "DAR"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:27:10.931090",
-      "level": "info",
-      "event_type": "dataset_deactivated",
-      "message": "Dataset deactivated: test",
-      "details": {
-        "dataset_id": "Test"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:27:11.020924",
-      "level": "info",
-      "event_type": "dataset_deactivated",
-      "message": "Dataset deactivated: Fast",
-      "details": {
-        "dataset_id": "Fast"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:27:11.044740",
-      "level": "info",
-      "event_type": "plc_disconnection",
-      "message": "Disconnected from PLC 10.1.33.11 (manually disconnected)",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:36:39.839025",
-      "level": "info",
-      "event_type": "udp_streaming_stopped",
-      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:36:39.865980",
-      "level": "info",
-      "event_type": "csv_recording_stopped",
-      "message": "🔥 CRITICAL: CSV recording stopped (dataset threads continue for UDP streaming)",
-      "details": {
-        "recording_protection": false,
-        "performance_monitoring": false
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:36:39.891153",
-      "level": "info",
-      "event_type": "udp_streaming_stopped",
-      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:36:39.919000",
-      "level": "info",
-      "event_type": "plc_disconnection",
-      "message": "Disconnected from PLC 10.1.33.11 (application shutdown (will auto-reconnect on restart))",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:43:20.556449",
-      "level": "info",
-      "event_type": "application_started",
-      "message": "Application initialization completed successfully",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:46:51.987129",
-      "level": "info",
-      "event_type": "application_started",
-      "message": "Application initialization completed successfully",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:49:49.097135",
-      "level": "info",
-      "event_type": "application_started",
-      "message": "Application initialization completed successfully",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:50:08.446909",
-      "level": "info",
-      "event_type": "application_started",
-      "message": "Application initialization completed successfully",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:50:50.845606",
-      "level": "error",
-      "event_type": "plc_connection_failed",
-      "message": "Failed to connect to PLC 10.1.33.11",
-      "details": {
-        "ip": "10.1.33.11",
-        "rack": 0,
-        "slot": 2,
-        "symbols_path": "C:/Users/migue/Downloads/symSAE452.asc",
-        "error": "b' TCP : Unreachable peer'"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:51:30.265041",
-      "level": "info",
-      "event_type": "application_started",
-      "message": "Application initialization completed successfully",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:51:47.085245",
-      "level": "info",
-      "event_type": "dataset_activated",
-      "message": "Dataset activated: DAR",
-      "details": {
-        "dataset_id": "DAR",
-        "variables_count": 3,
-        "streaming_count": 3,
-        "prefix": "gateway_phoenix"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:51:47.116113",
-      "level": "info",
-      "event_type": "dataset_activated",
-      "message": "Dataset activated: Fast",
-      "details": {
-        "dataset_id": "Fast",
-        "variables_count": 3,
-        "streaming_count": 1,
-        "prefix": "fast"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:51:47.154734",
-      "level": "info",
-      "event_type": "csv_recording_started",
-      "message": "🔥 CRITICAL PRIORITY: CSV recording started with MAXIMUM PRIORITY, async buffering, and performance monitoring: 2 datasets activated",
-      "details": {
-        "activated_datasets": 2,
-        "total_datasets": 3,
-        "priority": "CRITICAL",
-        "recording_protection": true,
-        "performance_monitoring": true,
-        "async_csv_buffering": true,
-        "csv_flush_interval": 5.0
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:51:47.187843",
-      "level": "info",
-      "event_type": "plc_connection",
-      "message": "Successfully connected to PLC 10.1.33.11 and auto-started CSV recording for 3 datasets",
-      "details": {
-        "ip": "10.1.33.11",
-        "rack": 0,
-        "slot": 2,
-        "symbols_path": "C:/Users/migue/Downloads/symSAE452.asc",
-        "auto_started_recording": true,
-        "recording_datasets": 3,
-        "dataset_names": [
-          "DAR",
-          "Fast",
-          "test"
-        ]
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:51:57.086001",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 28 points saved, 10 lost, 0.0% CPU",
-      "details": {
-        "duration": 27.824703693389893,
-        "points_saved": 28,
-        "points_rate": 1.0063000241994222,
-        "variables_saved": 84,
-        "udp_points_sent": 0,
-        "points_lost": 10,
-        "cpu_average": 0.0,
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-        "delay_average": 0.8835371562412807,
-        "delay_max": 1.1541330814361572,
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-        "csv_errors": 0,
-        "udp_errors": 0,
-        "read_time_avg": 0.5202504055840629,
-        "csv_write_time_avg": 0.00021372522626604353
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:52:07.123224",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 31 points saved, 8 lost, 0.3% CPU",
-      "details": {
-        "duration": 10.03722858428955,
-        "points_saved": 31,
-        "points_rate": 3.088501944503063,
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-        "points_lost": 8,
-        "cpu_average": 0.3,
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-        "delay_average": 0.7352630297342936,
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-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:52:17.149226",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 34 points saved, 7 lost, 0.2% CPU",
-      "details": {
-        "duration": 10.026506185531616,
-        "points_saved": 34,
-        "points_rate": 3.391011721417223,
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-        "points_lost": 7,
-        "cpu_average": 0.2,
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-        "read_time_avg": 0.340193089316873,
-        "csv_write_time_avg": 0.0
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:52:27.173647",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 29 points saved, 8 lost, 0.2% CPU",
-      "details": {
-        "duration": 10.023896217346191,
-        "points_saved": 29,
-        "points_rate": 2.893086617339071,
-        "variables_saved": 87,
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-        "points_lost": 8,
-        "cpu_average": 0.2,
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-        "delay_average": 1.277729590733846,
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-        "csv_write_time_avg": 0.0
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:52:37.197987",
-      "level": "info",
-      "event_type": "performance_report",
-      "message": "Performance report: 40 points saved, 4 lost, 0.2% CPU",
-      "details": {
-        "duration": 10.02436351776123,
-        "points_saved": 40,
-        "points_rate": 3.990278278429124,
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-    },
-    {
-      "timestamp": "2025-08-21T16:52:38.430695",
-      "level": "info",
-      "event_type": "udp_streaming_stopped",
-      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:52:44.101521",
-      "level": "info",
-      "event_type": "csv_recording_stopped",
-      "message": "🔥 CRITICAL: CSV recording stopped (dataset threads continue for UDP streaming)",
-      "details": {
-        "recording_protection": false,
-        "performance_monitoring": false
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:52:44.127763",
-      "level": "info",
-      "event_type": "udp_streaming_stopped",
-      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
-      "details": {}
-    },
-    {
-      "timestamp": "2025-08-21T16:52:44.361737",
-      "level": "info",
-      "event_type": "dataset_deactivated",
-      "message": "Dataset deactivated: DAR",
-      "details": {
-        "dataset_id": "DAR"
-      }
-    },
-    {
-      "timestamp": "2025-08-21T16:52:44.546253",
-      "level": "info",
-      "event_type": "dataset_deactivated",
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+    },
+    {
+      "timestamp": "2025-08-22T17:38:57.206599",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.2% CPU",
+      "details": {
+        "duration": 10.021247148513794,
+        "points_saved": 40,
+        "points_rate": 3.991519159961265,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.2,
+        "cpu_max": 0.2,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.08325080871582032,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T17:39:07.229558",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.022961378097534,
+        "points_saved": 40,
+        "points_rate": 3.990836489444044,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.08063258528709412,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T17:39:17.275270",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.3% CPU",
+      "details": {
+        "duration": 10.046217679977417,
+        "points_saved": 40,
+        "points_rate": 3.981597977885934,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.3,
+        "cpu_max": 0.3,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.08229193687438965,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T17:39:27.298501",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.022717237472534,
+        "points_saved": 40,
+        "points_rate": 3.990933701137412,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.0821560263633728,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T17:39:37.325484",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.027496337890625,
+        "points_saved": 40,
+        "points_rate": 3.9890316238613917,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.0831246554851532,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T17:39:47.351747",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.025685787200928,
+        "points_saved": 40,
+        "points_rate": 3.989752007894076,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.08230199217796326,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T17:39:57.372241",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.021071434020996,
+        "points_saved": 40,
+        "points_rate": 3.991589149260244,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.0,
+        "cpu_max": 0.0,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.08364236950874329,
+        "csv_write_time_avg": 0.0
+      }
     }
   ],
-  "last_updated": "2025-08-22T16:50:48.414173",
+  "last_updated": "2025-08-22T17:39:57.372241",
   "total_entries": 1000
 }
\ No newline at end of file
diff --git a/core/plc_data_streamer.py b/core/plc_data_streamer.py
index f64140e..ce1ad92 100644
--- a/core/plc_data_streamer.py
+++ b/core/plc_data_streamer.py
@@ -639,61 +639,39 @@ class PLCDataStreamer:
             return None
 
     def _get_disk_usage_safe(self, path):
-        """Safely get disk usage with Windows compatibility fallbacks"""
-        import shutil
+        """Get disk usage using shutil.disk_usage() - robust for Windows Python 3.12+"""
         from collections import namedtuple
+        import os
+        import shutil
 
         DiskUsage = namedtuple("DiskUsage", ["total", "used", "free", "percent"])
 
         try:
-            # Method 1: Try psutil with absolute path
-            abs_path = os.path.abspath(path)
-            usage = psutil.disk_usage(abs_path)
+            # For Windows, always use the drive root (e.g., "D:\") for maximum compatibility
+            # Extract drive letter from the given path
+            drive = os.path.splitdrive(os.path.abspath(path))[0]
+
+            # Ensure we have a valid drive (e.g., "D:")
+            if not drive or len(drive) < 2:
+                raise ValueError(f"Invalid drive extracted from path: {path}")
+
+            # Create proper drive root path for Windows (e.g., "D:\")
+            drive_root = drive + "\\"
+
+            # Use shutil.disk_usage() instead of psutil - avoids Python 3.12 Unicode API issues
+            usage = shutil.disk_usage(drive_root)
+
             return DiskUsage(
                 total=usage.total,
                 used=usage.used,
                 free=usage.free,
                 percent=round((usage.used / usage.total) * 100, 1),
             )
-        except (SystemError, OSError, Exception) as e:
+
+        except Exception as e:
             if hasattr(self, "logger"):
-                self.logger.warning(f"psutil.disk_usage failed for {path}: {e}")
-
-            try:
-                # Method 2: Try psutil with drive root
-                drive = os.path.splitdrive(os.path.abspath(path))[0]
-                if drive:
-                    drive_root = drive + os.sep  # e.g., "D:\"
-                    if hasattr(self, "logger"):
-                        self.logger.info(f"Trying psutil with drive root: {drive_root}")
-                    usage = psutil.disk_usage(drive_root)
-                    return DiskUsage(
-                        total=usage.total,
-                        used=usage.used,
-                        free=usage.free,
-                        percent=round((usage.used / usage.total) * 100, 1),
-                    )
-            except Exception as e2:
-                if hasattr(self, "logger"):
-                    self.logger.warning(
-                        f"psutil.disk_usage with drive root failed: {e2}"
-                    )
-
-                try:
-                    # Method 3: Use shutil.disk_usage (Python 3.3+)
-                    if hasattr(self, "logger"):
-                        self.logger.info("Trying shutil.disk_usage as fallback")
-                    total, used, free = shutil.disk_usage(path)
-                    return DiskUsage(
-                        total=total,
-                        used=used,
-                        free=free,
-                        percent=round((used / total) * 100, 1),
-                    )
-                except Exception as e3:
-                    if hasattr(self, "logger"):
-                        self.logger.error(f"All disk usage methods failed: {e3}")
-                    return None
+                self.logger.error(f"Failed to get disk usage for drive root: {e}")
+            return None
 
     def _estimate_csv_size_per_hour(self) -> float:
         """Estimate CSV file size per hour based on active datasets and variables"""
diff --git a/frontend/src/hooks/useCoordinatedConnection.js b/frontend/src/hooks/useCoordinatedConnection.js
index 19c6235..fcbfaf8 100644
--- a/frontend/src/hooks/useCoordinatedConnection.js
+++ b/frontend/src/hooks/useCoordinatedConnection.js
@@ -112,7 +112,15 @@ export function useCoordinatedPolling(source, fetchFunction, interval = 5000, de
             let intervalId = null
             let isActive = true
             let consecutiveErrors = 0
-            const maxConsecutiveErrors = 3
+            let currentInterval = interval
+
+            const scheduleNextPoll = (delay) => {
+                if (!isActive) return
+                if (intervalId) {
+                    clearTimeout(intervalId)
+                }
+                intervalId = setTimeout(poll, delay)
+            }
 
             const poll = async () => {
                 if (!isActive) return
@@ -120,35 +128,43 @@ export function useCoordinatedPolling(source, fetchFunction, interval = 5000, de
                     const data = await fetchFunction()
                     if (isActive) {
                         consecutiveErrors = 0
+                        currentInterval = interval // Reset to normal interval
                         setConnectionError(null)
                         onData(data)
+                        // Schedule next poll at normal interval
+                        scheduleNextPoll(interval)
                     }
                 } catch (error) {
                     console.error(`Polling error for ${source}:`, error)
                     consecutiveErrors++
                     
-                    if (consecutiveErrors >= maxConsecutiveErrors) {
+                    if (consecutiveErrors >= 3) {
                         setConnectionError(error)
-                        // Stop polling after too many consecutive errors
-                        if (intervalId) {
-                            clearInterval(intervalId)
-                            intervalId = null
-                        }
+                        // Use exponential backoff instead of stopping completely
+                        // Start with 10 seconds, max out at 30 seconds
+                        currentInterval = Math.min(10000 + (consecutiveErrors - 3) * 5000, 30000)
+                        console.log(`${source}: Using backoff interval ${currentInterval}ms after ${consecutiveErrors} errors`)
+                    } else {
+                        // For first few errors, keep normal interval
+                        currentInterval = interval
+                    }
+                    
+                    // Always continue polling, even with errors
+                    if (isActive) {
+                        scheduleNextPoll(currentInterval)
                     }
                 }
             }
 
             // Poll inicial
             poll()
-            
-            // Configurar intervalo
-            intervalId = setInterval(poll, interval)
 
             return {
                 close: () => {
                     isActive = false
                     if (intervalId) {
-                        clearInterval(intervalId)
+                        clearTimeout(intervalId)
+                        intervalId = null
                     }
                 }
             }
diff --git a/system_state.json b/system_state.json
index 809c114..6eb7a65 100644
--- a/system_state.json
+++ b/system_state.json
@@ -3,12 +3,11 @@
         "should_connect": true,
         "should_stream": false,
         "active_datasets": [
-            "Fast",
             "DAR",
-            "Test"
+            "Test",
+            "Fast"
         ]
     },
     "auto_recovery_enabled": true,
-    "last_update": "2025-08-22T16:39:17.693082",
-    "plotjuggler_path": "C:\\Program Files\\PlotJuggler\\plotjuggler.exe"
+    "last_update": "2025-08-22T17:31:16.229568"
 }
\ No newline at end of file
diff --git a/test_disk_status.py b/test_disk_status.py
new file mode 100644
index 0000000..0263c72
--- /dev/null
+++ b/test_disk_status.py
@@ -0,0 +1,51 @@
+#!/usr/bin/env python3
+"""
+Test script to verify disk_space functionality after psutil fix
+"""
+import requests
+import json
+
+
+def test_disk_status():
+    """Test the /api/status endpoint to check if disk_space_info works correctly"""
+    try:
+        print("🧪 Testing /api/status endpoint...")
+        response = requests.get("http://localhost:5050/api/status", timeout=10)
+
+        if response.status_code == 200:
+            data = response.json()
+            print("✅ Status endpoint responded successfully")
+
+            # Check if disk_space_info is present and valid
+            if "disk_space_info" in data:
+                disk_info = data["disk_space_info"]
+                print(f"✅ Disk space info retrieved successfully:")
+                print(f"   📁 Free space: {disk_info.get('free_space', 'Unknown')}")
+                print(f"   📁 Total space: {disk_info.get('total_space', 'Unknown')}")
+                print(f"   📁 Used space: {disk_info.get('used_space', 'Unknown')}")
+                print(
+                    f"   📊 Percent used: {disk_info.get('percent_used', 'Unknown')}%"
+                )
+                print(
+                    f"   ⏱️ Recording time left: {disk_info.get('recording_time_left', 'Unknown')}"
+                )
+
+                if disk_info.get("error"):
+                    print(f"❌ Error in disk_space_info: {disk_info['error']}")
+                else:
+                    print("✅ No errors in disk_space_info")
+            else:
+                print("❌ disk_space_info not found in response")
+
+        else:
+            print(f"❌ Status endpoint failed: {response.status_code}")
+            print(f"Response: {response.text}")
+
+    except requests.exceptions.ConnectionError:
+        print("❌ Cannot connect to backend server at http://localhost:5050")
+    except Exception as e:
+        print(f"❌ Error testing disk status: {e}")
+
+
+if __name__ == "__main__":
+    test_disk_status()