diff --git a/application_events.json b/application_events.json
index 87ecd1c..03d1f78 100644
--- a/application_events.json
+++ b/application_events.json
@@ -1,3823 +1,5 @@
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+      "details": {
+        "recording_protection": false,
+        "performance_monitoring": false
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:02:32.191793",
+      "level": "info",
+      "event_type": "udp_streaming_stopped",
+      "message": "UDP streaming to PlotJuggler stopped (CSV recording continues)",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-22T16:02:32.708282",
+      "level": "info",
+      "event_type": "dataset_deactivated",
+      "message": "Dataset deactivated: Fast",
+      "details": {
+        "dataset_id": "Fast"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:02:32.731042",
+      "level": "info",
+      "event_type": "dataset_deactivated",
+      "message": "Dataset deactivated: test",
+      "details": {
+        "dataset_id": "Test"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:02:33.188334",
+      "level": "info",
+      "event_type": "dataset_deactivated",
+      "message": "Dataset deactivated: DAR",
+      "details": {
+        "dataset_id": "DAR"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:02:33.212374",
+      "level": "info",
+      "event_type": "plc_disconnection",
+      "message": "Disconnected from PLC 10.1.33.11 (application shutdown (will auto-reconnect on restart))",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-22T16:03:06.053453",
+      "level": "info",
+      "event_type": "application_started",
+      "message": "Application initialization completed successfully",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-22T16:03:06.168337",
+      "level": "info",
+      "event_type": "dataset_activated",
+      "message": "Dataset activated: DAR",
+      "details": {
+        "dataset_id": "DAR",
+        "variables_count": 3,
+        "streaming_count": 3,
+        "prefix": "gateway_phoenix"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:03:06.191585",
+      "level": "info",
+      "event_type": "dataset_activated",
+      "message": "Dataset activated: Fast",
+      "details": {
+        "dataset_id": "Fast",
+        "variables_count": 3,
+        "streaming_count": 1,
+        "prefix": "fast"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:03:06.214659",
+      "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": "2025-08-22T16:03:40.828117",
+      "level": "info",
+      "event_type": "application_started",
+      "message": "Application initialization completed successfully",
+      "details": {}
+    },
+    {
+      "timestamp": "2025-08-22T16:03:40.961703",
+      "level": "info",
+      "event_type": "dataset_activated",
+      "message": "Dataset activated: DAR",
+      "details": {
+        "dataset_id": "DAR",
+        "variables_count": 3,
+        "streaming_count": 3,
+        "prefix": "gateway_phoenix"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:03:40.991602",
+      "level": "info",
+      "event_type": "dataset_activated",
+      "message": "Dataset activated: Fast",
+      "details": {
+        "dataset_id": "Fast",
+        "variables_count": 3,
+        "streaming_count": 1,
+        "prefix": "fast"
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:03:41.016250",
+      "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": "2025-08-22T16:03:50.961515",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 11.138754844665527,
+        "points_saved": 40,
+        "points_rate": 3.5910656583986533,
+        "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": 0.08866036534309388,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:03:54.636157",
+      "level": "info",
+      "event_type": "plot_session_created",
+      "message": "Plot session 'UR29' created and started",
+      "details": {
+        "session_id": "plot_1_1755871434636_2",
+        "variables": [
+          "UR29_Brix",
+          "UR29_ma",
+          "AUX Blink_2.0S"
+        ],
+        "time_window": 60,
+        "trigger_variable": null,
+        "auto_started": true
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:04:00.983069",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 1.6% CPU",
+      "details": {
+        "duration": 10.021020650863647,
+        "points_saved": 40,
+        "points_rate": 3.9916093772895933,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 1.6,
+        "cpu_max": 1.6,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.08954797387123108,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:04:06.899437",
+      "level": "info",
+      "event_type": "plot_session_created",
+      "message": "Plot session 'UR29' created and started",
+      "details": {
+        "session_id": "plot_1_1755871446899_3",
+        "variables": [
+          "UR29_Brix",
+          "UR29_ma",
+          "AUX Blink_2.0S"
+        ],
+        "time_window": 60,
+        "trigger_variable": null,
+        "auto_started": true
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:04:11.004036",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.3% CPU",
+      "details": {
+        "duration": 10.020933389663696,
+        "points_saved": 40,
+        "points_rate": 3.9916441357906685,
+        "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": 0.0879228174686432,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:04:21.025237",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.5% CPU",
+      "details": {
+        "duration": 10.02176833152771,
+        "points_saved": 40,
+        "points_rate": 3.9913115806282495,
+        "variables_saved": 120,
+        "udp_points_sent": 0,
+        "points_lost": 0,
+        "cpu_average": 0.5,
+        "cpu_max": 0.5,
+        "delay_average": 0.0,
+        "delay_max": 0.0,
+        "read_errors": 0,
+        "csv_errors": 0,
+        "udp_errors": 0,
+        "read_time_avg": 0.09038726687431335,
+        "csv_write_time_avg": 0.0
+      }
+    },
+    {
+      "timestamp": "2025-08-22T16:04:31.048803",
+      "level": "info",
+      "event_type": "performance_report",
+      "message": "Performance report: 40 points saved, 0 lost, 0.0% CPU",
+      "details": {
+        "duration": 10.023565530776978,
+        "points_saved": 40,
+        "points_rate": 3.9905959488349247,
+        "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": 0.0945316195487976,
+        "csv_write_time_avg": 0.0
+      }
     }
   ],
-  "last_updated": "2025-08-22T15:02:29.723080",
+  "last_updated": "2025-08-22T16:04:31.048803",
   "total_entries": 1000
 }
\ No newline at end of file
diff --git a/core/plc_data_streamer.py b/core/plc_data_streamer.py
index b3ab4d4..f64140e 100644
--- a/core/plc_data_streamer.py
+++ b/core/plc_data_streamer.py
@@ -598,7 +598,12 @@ class PLCDataStreamer:
                 os.makedirs(records_path)
 
             # Get disk usage for the drive where records are stored
-            usage = psutil.disk_usage(os.path.abspath(records_path))
+            # Use multiple fallback methods for Windows compatibility
+            usage = self._get_disk_usage_safe(records_path)
+            if usage is None:
+                if hasattr(self, "logger"):
+                    self.logger.warning("Could not get disk usage information")
+                return None
 
             # Calculate average CSV file size (estimate based on active datasets)
             avg_file_size_per_hour = self._estimate_csv_size_per_hour()
@@ -633,6 +638,63 @@ class PLCDataStreamer:
                 self.logger.error(f"Error calculating disk space: {e}")
             return None
 
+    def _get_disk_usage_safe(self, path):
+        """Safely get disk usage with Windows compatibility fallbacks"""
+        import shutil
+        from collections import namedtuple
+
+        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)
+            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:
+            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
+
     def _estimate_csv_size_per_hour(self) -> float:
         """Estimate CSV file size per hour based on active datasets and variables"""
         try:
diff --git a/system_state.json b/system_state.json
index e512204..772a977 100644
--- a/system_state.json
+++ b/system_state.json
@@ -4,10 +4,11 @@
         "should_stream": false,
         "active_datasets": [
             "Fast",
-            "Test",
-            "DAR"
+            "DAR",
+            "Test"
         ]
     },
     "auto_recovery_enabled": true,
-    "last_update": "2025-08-22T15:01:09.609437"
+    "last_update": "2025-08-22T16:03:42.919215",
+    "plotjuggler_path": "C:\\Program Files\\PlotJuggler\\plotjuggler.exe"
 }
\ No newline at end of file
diff --git a/test_disk_space.py b/test_disk_space.py
new file mode 100644
index 0000000..ba51d35
--- /dev/null
+++ b/test_disk_space.py
@@ -0,0 +1,72 @@
+#!/usr/bin/env python3
+"""
+Test script to validate the disk space calculation fix
+"""
+
+import requests
+import json
+import time
+
+
+def test_disk_space_api():
+    """Test the /api/status endpoint to see if disk_space_info works"""
+
+    url = "http://localhost:5050/api/status"
+
+    try:
+        print("🔍 Testing disk space calculation...")
+
+        # Make the API request
+        response = requests.get(url, timeout=10)
+
+        if response.status_code == 200:
+            data = response.json()
+
+            # Check if disk_space_info exists and is valid
+            disk_info = data.get("disk_space_info")
+
+            if disk_info is not None:
+                print("✅ Disk space information retrieved successfully!")
+                print(f"📁 Free space: {disk_info.get('free_space', 'N/A')}")
+                print(f"📊 Total space: {disk_info.get('total_space', 'N/A')}")
+                print(f"💾 Used space: {disk_info.get('used_space', 'N/A')}")
+                print(f"📈 Percent used: {disk_info.get('percent_used', 'N/A')}%")
+                print(
+                    f"⏱️  Recording time left: {disk_info.get('recording_time_left', 'N/A')}"
+                )
+                print(
+                    f"📝 Avg file size per hour: {disk_info.get('avg_file_size_per_hour', 'N/A')}"
+                )
+
+                return True
+            else:
+                print("❌ disk_space_info is null - error occurred during calculation")
+                return False
+
+        else:
+            print(f"❌ HTTP Error: {response.status_code}")
+            print(response.text)
+            return False
+
+    except requests.exceptions.RequestException as e:
+        print(f"❌ Request failed: {e}")
+        return False
+    except Exception as e:
+        print(f"❌ Unexpected error: {e}")
+        return False
+
+
+if __name__ == "__main__":
+    print("🚀 Testing disk space calculation fix...")
+    print("=" * 50)
+
+    # Wait a bit for server to be ready
+    time.sleep(2)
+
+    success = test_disk_space_api()
+
+    print("=" * 50)
+    if success:
+        print("✅ Test PASSED - Disk space calculation is working!")
+    else:
+        print("❌ Test FAILED - Disk space calculation has issues")