diff --git a/server/src/uds/management/commands/udsfs/stats.py b/server/src/uds/management/commands/udsfs/stats.py
index 209ce8ac..4499947c 100644
--- a/server/src/uds/management/commands/udsfs/stats.py
+++ b/server/src/uds/management/commands/udsfs/stats.py
@@ -5,10 +5,12 @@ import typing
 import logging
 
 from uds import models
-from uds.core.util.stats.events import EVENT_NAMES, getOwner
+from uds.core.util.stats.events import EVENT_NAMES
+from uds.core.util.cache import Cache
 
 from . import types
 
+
 logger = logging.getLogger(__name__)
 
 # Custom types
@@ -68,6 +70,7 @@ class StatsFS(types.UDSFSInterface):
     }
 
     _dispatchers: typing.Mapping[str, typing.Tuple[DispatcherType, bool]]
+    _cache: typing.ClassVar[Cache] = Cache('fsevents')
 
     def __init__(self) -> None:
         # Initialize _dispatchers, Second element of tuple is True if the dispatcher has "intervals"
@@ -105,7 +108,7 @@ class StatsFS(types.UDSFSInterface):
 
             range = self._interval[interval]
         else:
-            range = (StatsFS._interval['today'])  # Does not matter, it's just a placeholder
+            range = (StatsFS._interval['lastmonth'])  # Any value except "today" will do the trick
             extension = interval
 
         if extension != 'csv':
@@ -146,17 +149,33 @@ class StatsFS(types.UDSFSInterface):
 
         dispatcher, interval, extension = self.getFilenameComponents(path)
 
+        # if interval is today, cache time is 10 seconds, else cache time is 60 seconds
+        if interval == StatsFS._interval['today']:
+            cacheTime = 10
+        else:
+            cacheTime = 60
+
+        # Check if the file info is cached
+        cached = self._cache.get(path[0])
+        if cached is not None:
+            logger.debug('Cache hit for %s', path[0])
+            return cached
+
         # Calculate the size of the file
         size = len(dispatcher(interval, extension, 0, 0))
         logger.debug('Size of %s: %s', path[0], size)
 
-        return types.StatType(
+        data = types.StatType(
             st_mode=(stat.S_IFREG | 0o755),
             st_nlink=1,
             st_size=size,
             st_mtime=interval.start_poxix,
         )
 
+        # store in cache
+        self._cache.put(path[0], data, cacheTime)
+        return data
+
     def read(self, path: typing.List[str], size: int, offset: int) -> bytes:
         logger.debug('Reading data from %s: offset: %s, size: %s', path, offset, size)
 
@@ -192,5 +211,9 @@ class StatsFS(types.UDSFSInterface):
         self, interval: StatInterval, extension: str, size: int, offset: int
     ) -> bytes:
         logger.debug('Reading pools. Interval=%s, extension=%s, offset: %s, size: %s', interval, extension, offset, size)
-        return b'xxxx'
-        
+        # Compose the csv file from what we now of service pools
+        virtualFile = models.ServicePool.getCSVHeader().encode() + b'\n'
+        # First, get the list of service pools
+        for pool in models.ServicePool.objects.all().order_by('name'):
+            virtualFile += pool.toCsv().encode() + b'\n'
+        return virtualFile
diff --git a/server/src/uds/models/service_pool.py b/server/src/uds/models/service_pool.py
index cea70e24..519d85a4 100644
--- a/server/src/uds/models/service_pool.py
+++ b/server/src/uds/models/service_pool.py
@@ -502,9 +502,7 @@ class ServicePool(UUIDModel, TaggingMixin):  #  type: ignore
             raise InvalidServiceException()
 
     def validateTransport(self, transport) -> None:
-        try:
-            self.transports.get(id=transport.id)
-        except:
+        if self.transports.filter(id=transport.id).count() == 0:
             raise InvalidServiceException()
 
     def validateUser(self, user: 'User') -> None:
@@ -659,6 +657,7 @@ class ServicePool(UUIDModel, TaggingMixin):  #  type: ignore
         """
         Returns the % used services, related to "maximum" user services
         If no "maximum" number of services, will return 0% ofc
+        cachedValue is used to optimize (if known the number of assigned services, we can avoid to query the db)
         """
         maxs = self.max_srvs
         if maxs == 0:
@@ -711,6 +710,35 @@ class ServicePool(UUIDModel, TaggingMixin):  #  type: ignore
         # Clears related permissions
         clean(toDelete)
 
+    # returns CSV header
+    @staticmethod
+    def getCSVHeader(sep: str = ',') -> str:
+        return sep.join(
+            [
+                'name',
+                'initial',
+                'cache_l1',
+                'cache_l2',
+                'max',
+                'assigned_services',
+                'cached_services',
+            ]
+        )
+
+    # Return record as csv line using separator (default: ',')
+    def toCsv(self, sep: str = ',') -> str:
+        return sep.join(
+            [
+                self.name,
+                str(self.initial_srvs),
+                str(self.cache_l1_srvs),
+                str(self.cache_l2_srvs),
+                str(self.max_srvs),
+                str(self.assignedUserServices().count()),
+                str(self.cachedUserServices().count()),
+            ]
+        )
+
     def __str__(self):
         return 'Deployed service {}({}) with {} as initial, {} as L1 cache, {} as L2 cache, {} as max'.format(
             self.name,
diff --git a/server/src/uds/models/stats_events.py b/server/src/uds/models/stats_events.py
index 9b8aa418..cc3d4ac4 100644
--- a/server/src/uds/models/stats_events.py
+++ b/server/src/uds/models/stats_events.py
@@ -42,6 +42,7 @@ from .util import getSqlDatetimeAsUnix
 
 logger = logging.getLogger(__name__)
 
+
 class StatsEvents(models.Model):
     """
     Statistics about events (login, logout, whatever...)
@@ -135,8 +136,21 @@ class StatsEvents(models.Model):
 
     # returns CSV header
     @staticmethod
-    def getCSVHeader() -> str:
-        return 'owner_type,owner_id,event_type,stamp,field_1,field_2,field_3,field_4'
+    def getCSVHeader(
+        sep: str = '',
+    ) -> str:
+        return sep.join(
+            [
+                'owner_type',
+                'owner_id',
+                'event_type',
+                'stamp',
+                'field_1',
+                'field_2',
+                'field_3',
+                'field_4',
+            ]
+        )
 
     # Return record as csv line using separator (default: ',')
     def toCsv(self, sep: str = ',') -> str: