diff --git a/lightly_studio/Makefile b/lightly_studio/Makefile
index f0b411fcc..96bbc712b 100644
--- a/lightly_studio/Makefile
+++ b/lightly_studio/Makefile
@@ -40,6 +40,11 @@ start-e2e: build
 	@echo "Starting server for e2e tests..."
 	uv run e2e-tests/index_dataset_for_end2end_ui_tests.py
 
+.PHONY: start-coco-10k
+start-coco-10k: build
+	@echo "Starting server for e2e tests with COCO 10k dataset..."
+	uv run e2e-tests/index_coco_10k.py
+
 .PHONY: start-e2e-with-captions
 start-e2e-with-captions: build
 	@echo "Starting server for e2e tests with captions..."
diff --git a/lightly_studio/e2e-tests/index_coco_10k.py b/lightly_studio/e2e-tests/index_coco_10k.py
new file mode 100644
index 000000000..3cd5c8202
--- /dev/null
+++ b/lightly_studio/e2e-tests/index_coco_10k.py
@@ -0,0 +1,25 @@
+"""End-to-end demonstration of the lightly_studio dataset loading and UI.
+
+This module provides a simple example of how to load a COCO instance
+segmentation dataset and launch the UI application for exploration and
+visualization.
+"""
+
+from lightly_studio import AnnotationType, Dataset, db_manager, start_gui
+
+# Clean up an existing database
+db_manager.connect(cleanup_existing=True)
+
+# Create a Dataset instance
+dataset = Dataset.create()
+
+# We point to the annotations json file and the input images folder.
+# Defined dataset is processed here to be available for the UI application.
+dataset.add_samples_from_coco(
+    annotations_json="datasets/coco-10k/annotations/instances_train2017.json",
+    images_path="datasets/coco-10k/images",
+    annotation_type=AnnotationType.INSTANCE_SEGMENTATION,
+)
+
+# We start the UI application on port 8001
+start_gui()
diff --git a/lightly_studio/src/lightly_studio/api/server.py b/lightly_studio/src/lightly_studio/api/server.py
index 1dd7c4d00..1ff6e4e69 100644
--- a/lightly_studio/src/lightly_studio/api/server.py
+++ b/lightly_studio/src/lightly_studio/api/server.py
@@ -30,8 +30,17 @@ def __init__(self, host: str, port: int) -> None:
 
     def start(self) -> None:
         """Start the API server using Uvicorn."""
-        # start the app
-        uvicorn.run(app, host=self.host, port=self.port, http="h11")
+        # start the app with connection limits and timeouts
+        uvicorn.run(
+            app,
+            host=self.host,
+            port=self.port,
+            http="h11",
+            limit_concurrency=1000,  # Max concurrent connections
+            limit_max_requests=10000,  # Max requests before worker restart
+            timeout_keep_alive=5,  # Keep-alive timeout in seconds
+            timeout_graceful_shutdown=30,  # Graceful shutdown timeout
+        )
 
 
 def _get_available_port(host: str, preferred_port: int, max_tries: int = 50) -> int:
diff --git a/lightly_studio/src/lightly_studio/db_manager.py b/lightly_studio/src/lightly_studio/db_manager.py
index 2a2152d2b..74f30e06e 100644
--- a/lightly_studio/src/lightly_studio/db_manager.py
+++ b/lightly_studio/src/lightly_studio/db_manager.py
@@ -41,7 +41,14 @@ def __init__(
         self._engine_url = engine_url if engine_url else "duckdb:///lightly_studio.db"
         if cleanup_existing:
             _cleanup_database_file(engine_url=self._engine_url)
-        self._engine = create_engine(url=self._engine_url, poolclass=poolclass)
+        # Total available connections = pool_size + max_overflow = 20 + 40 = 60
+        # (default is (pool_size=5, max_overflow=10))
+        self._engine = create_engine(
+            url=self._engine_url,
+            poolclass=poolclass,
+            pool_size=20,
+            max_overflow=40,
+        )
         SQLModel.metadata.create_all(self._engine)
 
     @contextmanager
diff --git a/lightly_studio_view/src/lib/components/Samples/Samples.svelte b/lightly_studio_view/src/lib/components/Samples/Samples.svelte
index 8256928c6..303f3fecf 100644
--- a/lightly_studio_view/src/lib/components/Samples/Samples.svelte
+++ b/lightly_studio_view/src/lib/components/Samples/Samples.svelte
@@ -241,7 +241,7 @@
 {:else if $infiniteSamples.isSuccess && samples.length === 0}
     <!-- Empty state -->
     <div class="flex h-full w-full items-center justify-center">
-        <div class="text-center text-muted-foreground">
+        <div class="text-muted-foreground text-center">
             <div class="mb-2 text-lg font-medium">No samples found</div>
             <div class="text-sm">This dataset doesn't contain any samples.</div>
         </div>
@@ -292,6 +292,7 @@
                                 class="relative overflow-hidden rounded-lg"
                                 style="width: var(--sample-width); height: var(--sample-height);"
                             >
+                                Index:{index}
                                 <SampleImage sample={samples[index]} {objectFit} />
                                 <SampleAnnotations
                                     sample={samples[index]}