diff --git a/examples/dash_apps/04_minimal_cache_overview.py b/examples/dash_apps/04_minimal_cache_overview.py
new file mode 100644
index 00000000..28ab51af
--- /dev/null
+++ b/examples/dash_apps/04_minimal_cache_overview.py
@@ -0,0 +1,124 @@
+"""Minimal dash app example.
+
+Click on a button, and see a plotly-resampler graph of two sinusoids.
+In addition, another graph is shown, which is an overview of the main graph.
+This other graph is linked to the main graph, such that when you select a region
+in the overview graph, the main graph will zoom in on that region and vice versa.
+
+This example uses the dash-extensions its ServersideOutput functionality to cache
+the FigureResampler per user/session on the server side. This way, no global figure
+variable is used and shows the best practice of using plotly-resampler within dash-apps.
+
+"""
+
+import numpy as np
+import plotly.graph_objects as go
+import dash
+from dash import Input, Output, State, callback_context, dcc, html, no_update
+from dash_extensions.enrich import DashProxy, Serverside, ServersideOutputTransform
+from trace_updater import TraceUpdater
+
+# The overview figure requires clientside callbacks, whose JavaScript code is located
+# in the assets folder. We need to tell dash where to find this folder.
+from plotly_resampler import FigureResampler, ASSETS_FOLDER
+
+# -------------------------------- Data and constants ---------------------------------
+# Data that will be used for the plotly-resampler figures
+x = np.arange(2_000_000)
+noisy_sin = (3 + np.sin(x / 200) + np.random.randn(len(x)) / 10) * x / 1_000
+
+# The ids of the components used in the app (we put them here to avoid typos)
+GRAPH_ID = "graph-id"
+OVERVIEW_GRAPH_ID = "overview-graph"
+STORE_ID = "store"
+TRACEUPDATER_ID = "traceupdater"
+
+
+# --------------------------------------Globals ---------------------------------------
+# Remark how the assests folder is passed to the Dash(proxy) application
+app = DashProxy(
+    __name__, transforms=[ServersideOutputTransform()], assets_folder=ASSETS_FOLDER
+)
+
+app.layout = html.Div(
+    [
+        html.H1("plotly-resampler + dash-extensions", style={"textAlign": "center"}),
+        html.Button("plot chart", id="plot-button", n_clicks=0),
+        html.Hr(),
+        # The graph and its needed components to serialize and update efficiently
+        # Note: we also add a dcc.Store component, which will be used to link the
+        #       server side cached FigureResampler object
+        dcc.Graph(id=GRAPH_ID),
+        dcc.Graph(id=OVERVIEW_GRAPH_ID),
+        dcc.Loading(dcc.Store(id=STORE_ID)),
+        TraceUpdater(id=TRACEUPDATER_ID, gdID=GRAPH_ID),
+    ]
+)
+
+
+# ------------------------------------ DASH logic -------------------------------------
+# --- construct and store the FigureResampler on the serverside ---
+@app.callback(
+    [
+        Output(GRAPH_ID, "figure"),
+        Output(OVERVIEW_GRAPH_ID, "figure"),
+        Output(STORE_ID, "data"),
+    ],
+    Input("plot-button", "n_clicks"),
+    prevent_initial_call=True,
+)
+def plot_graph(_):
+    global app
+    ctx = callback_context
+    if len(ctx.triggered) and "plot-button" in ctx.triggered[0]["prop_id"]:
+        fig: FigureResampler = FigureResampler(xaxis_overview=True)
+
+        # Figure construction logic
+        fig.add_trace(go.Scattergl(name="log"), hf_x=x, hf_y=noisy_sin * 0.9999995**x)
+        fig.add_trace(go.Scattergl(name="exp"), hf_x=x, hf_y=noisy_sin * 1.000002**x)
+
+        fig.update_layout(legend=dict(orientation="h", yanchor="bottom", y=1.02))
+        fig.update_layout(margin=dict(b=10), template="plotly_white")
+
+        coarse_fig = fig._create_overview_figure()
+        return fig, coarse_fig, Serverside(fig)
+    else:
+        return no_update
+
+
+# --- The clientside callbacks used to link the overview and main graph ---
+app.clientside_callback(
+    dash.ClientsideFunction(namespace="clientside", function_name="main_to_coarse"),
+    dash.Output(
+        OVERVIEW_GRAPH_ID, "id", allow_duplicate=True
+    ),  # TODO -> look for clean output
+    dash.Input(GRAPH_ID, "relayoutData"),
+    [dash.State(OVERVIEW_GRAPH_ID, "id"), dash.State(GRAPH_ID, "id")],
+    prevent_initial_call=True,
+)
+
+app.clientside_callback(
+    dash.ClientsideFunction(namespace="clientside", function_name="coarse_to_main"),
+    dash.Output(GRAPH_ID, "id", allow_duplicate=True),
+    dash.Input(OVERVIEW_GRAPH_ID, "selectedData"),
+    [dash.State(GRAPH_ID, "id"), dash.State(OVERVIEW_GRAPH_ID, "id")],
+    prevent_initial_call=True,
+)
+
+
+# --- FigureResampler update logic ---
+@app.callback(
+    Output(TRACEUPDATER_ID, "updateData"),
+    Input(GRAPH_ID, "relayoutData"),
+    State(STORE_ID, "data"),  # The server side cached FigureResampler per session
+    prevent_initial_call=True,
+)
+def update_fig(relayoutdata, fig):
+    if fig is None:
+        return no_update
+    return fig.construct_update_data(relayoutdata)
+
+
+# --------------------------------- Running the app ---------------------------------
+if __name__ == "__main__":
+    app.run_server(debug=False, port=9023, use_reloader=False)