diff --git a/.dockerignore b/.dockerignore
index 44d8926..1a1957d 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -35,5 +35,6 @@ Thumbs.db
 tests/
 
 # Secret keys or env files (if not required in build)
-.env
+# Exclude .env in root, but allow frontend/.env.react
+/.env
 .secrets
\ No newline at end of file
diff --git a/.env.react b/.env.react
new file mode 100644
index 0000000..a4fc862
--- /dev/null
+++ b/.env.react
@@ -0,0 +1 @@
+REACT_APP_WEBSOCKET_URL=ws://ochoa.als.dhcp.lbl.gov:8001/simImages
\ No newline at end of file
diff --git a/AP-XPS.code-workspace b/AP-XPS.code-workspace
deleted file mode 100644
index 8558ff1..0000000
--- a/AP-XPS.code-workspace
+++ /dev/null
@@ -1,10 +0,0 @@
-{
-    "folders": [
-        {
-            "path": "."
-        },
-        {
-            "path": "../arroyo"
-        }
-    ]
-}
diff --git a/CLAUDE.md b/CLAUDE.md
new file mode 100644
index 0000000..90deb6b
--- /dev/null
+++ b/CLAUDE.md
@@ -0,0 +1,114 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+ArroyoXPS is a real-time streaming data analysis service for X-ray Photoelectron Spectroscopy (XPS) at the Advanced Light Source (ALS) beamline. It ingests ZMQ messages from LabVIEW instruments, processes detector frames (peak fitting, FFT analysis), and publishes results over WebSocket to a React frontend and to a Tiled data server.
+
+## Commands
+
+### Python Backend
+
+```bash
+# Install with dev dependencies (uses uv or pip)
+pip install ".[dev]"
+
+# Run tests
+python -m pytest
+
+# Run a single test file
+python -m pytest src/_tests/test_processor.py -v
+
+# Linting (pre-commit runs flake8, black, isort)
+pre-commit run --all-files
+```
+
+Max line length is 115 (configured in `.flake8`).
+
+### Frontend
+
+```bash
+cd frontend
+npm install
+npm start        # dev server at http://localhost:3000
+npm run build
+```
+
+### Running Locally (Docker)
+
+```bash
+# One-time setup
+docker network create mle_net
+cp .env.example .env  # then set TILED_SINGLE_USER_API_KEY
+
+# Start all services
+docker-compose up -d
+
+# With LabVIEW simulator instead of real hardware
+docker-compose -f docker-compose-simulator.yaml up -d
+```
+
+Services: Frontend at `:8080`, Tiled at `:8000`, Jaeger at `:16686`, Prometheus at `:9090`, Grafana at `:3000`.
+
+### Running Without Docker
+
+```bash
+# Start the LabVIEW frame simulator
+python -m tr_ap_xps.simulator
+```
+
+## Architecture
+
+### Data Flow
+
+```
+LabVIEW (ZMQ PUB) → XPSLabviewZMQListener → XPSOperator → XPSProcessor
+                                                                 ↓
+                                              XPSWSResultPublisher (WebSocket)
+                                              TiledPublisher (Tiled server)
+```
+
+**Message lifecycle:**
+1. LabVIEW sends three message types over ZMQ: `start` (scan metadata), `event` (detector frame), `stop`
+2. `labview.py` parses raw ZMQ messages into Pydantic models (`XPSStart`, `XPSRawEvent`, `XPSStop`)
+3. `XPSOperator` (`pipeline/xps_operator.py`) orchestrates the processing pipeline using the Arroyopy framework
+4. `XPSProcessor` (`pipeline/xps_processor.py`) does the computation: frame integration, rolling mean/std, peak fitting, FFT
+5. Results (`XPSResult`) are published to WebSocket clients and Tiled
+
+### Key Components
+
+- **`src/tr_ap_xps/`** — main package
+  - `schemas.py` — all Pydantic message models; LabVIEW JSON field names mapped via aliases
+  - `labview.py` — ZMQ listener; handles BigEndian binary frame buffers from LabVIEW
+  - `websockets.py` — WebSocket publisher; uses msgpack binary protocol for efficiency
+  - `tiled.py` — Tiled server integration for data persistence
+  - `config.py` — Dynaconf configuration (env vars prefixed `DYNACONF_`, override via `.secrets.yaml`)
+  - `pipeline/xps_operator.py` — Arroyopy `Operator` subclass; async `process()` entry point
+  - `pipeline/xps_processor.py` — core XPS computation (horizontal integration, rolling stats)
+  - `pipeline/peak_fitting.py` — Bayesian blocks peak detection + Astropy Gaussian fitting
+  - `pipeline/fft.py` — vertical FFT + inverse FFT filtering with configurable repeat factors
+  - `simulator/` — LabVIEW simulators for local development
+
+- **`frontend/src/`** — React 18 frontend
+  - WebSocket connection managed via custom hooks
+  - Plotly.js for heatmaps and scatter plots
+  - msgpack decoding of binary WebSocket frames
+
+### Framework: Arroyopy
+
+The backend is built on [Arroyopy](https://github.com/als-computing/arroyo), an async ZMQ pub/sub framework. Key base classes:
+- `Operator` — processes incoming messages, calls `process()` for each
+- `Publisher` — sends results to an output sink
+
+### Observability
+
+- OpenTelemetry tracing via `@traced` decorators; Jaeger collects traces
+- Prometheus metrics endpoint (configured in `config/prometheus.yml`)
+- Grafana dashboards pre-configured in `config/grafana-dashboard.json`
+
+## Serialization Notes
+
+- LabVIEW frames arrive as BigEndian binary buffers; `DATATYPE_MAP` in `labview.py` handles type conversion
+- WebSocket results use msgpack (binary) for efficiency, not JSON
+- Zarr format used for Tiled data storage
diff --git a/Dockerfile_frontend b/Dockerfile_frontend
index d04ea2c..06787d8 100644
--- a/Dockerfile_frontend
+++ b/Dockerfile_frontend
@@ -4,7 +4,7 @@ WORKDIR /frontend
 COPY ./frontend/package*.json /frontend/
 RUN npm ci
 COPY ./frontend /frontend/
-COPY .env /frontend/.env
+COPY ./frontend/.env.react /frontend/.env
 RUN npm run build
 
 FROM nginx:1.26-alpine
diff --git a/Dockerfile_processor b/Dockerfile_processor
index d46b5ef..11ef7e2 100644
--- a/Dockerfile_processor
+++ b/Dockerfile_processor
@@ -1,9 +1,19 @@
-FROM python:3.11
+FROM python:3.13
 
 WORKDIR /app
 
+# Install uv
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
+
+# Copy dependency files first for better caching
+COPY pyproject.toml /app/
+
+# Copy the rest of the application
 COPY . /app
-# RUN pip install ./arroyo
-RUN pip install --no-cache-dir --upgrade .
+
+# Install dependencies
+RUN uv pip install --system --no-cache .
+
+
 
 ENTRYPOINT ["arroyo", "run"]
diff --git a/block_configs/timepix_processor_block.yaml b/block_configs/timepix_processor_block.yaml
index 9e38315..91e2bee 100644
--- a/block_configs/timepix_processor_block.yaml
+++ b/block_configs/timepix_processor_block.yaml
@@ -6,6 +6,7 @@ blocks:
       class: tr_ap_xps.pipeline.xps_operator.build_xps_operator
       kwargs:
         build_heatmaps: false
+        otlp_endpoint: "http://jaeger:4317"
 
     listeners:
       - class: tr_ap_xps.timepix.xps_timepix_listener_factory
diff --git a/config/grafana-dashboard.json b/config/grafana-dashboard.json
new file mode 100644
index 0000000..1705745
--- /dev/null
+++ b/config/grafana-dashboard.json
@@ -0,0 +1,141 @@
+{
+  "title": "Arroyopy Metrics",
+  "dashboard": {
+    "title": "Arroyopy Metrics",
+    "tags": ["arroyopy", "telemetry"],
+    "timezone": "browser",
+    "schemaVersion": 16,
+    "version": 0,
+    "refresh": "5s",
+    "time": {
+      "from": "now-1h",
+      "to": "now"
+    },
+    "timepicker": {
+      "refresh_intervals": ["5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d"],
+      "time_options": ["5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d"]
+    },
+    "panels": [
+      {
+        "id": 1,
+        "title": "Messages Per Second",
+        "type": "graph",
+        "targets": [
+          {
+            "expr": "rate(arroyopy_processing_seconds_count[1m])",
+            "legendFormat": "rate",
+            "refId": "A"
+          }
+        ],
+        "gridPos": {
+          "h": 8,
+          "w": 12,
+          "x": 0,
+          "y": 0
+        },
+        "yaxes": [
+          {
+            "label": "messages/sec",
+            "show": true
+          },
+          {
+            "show": true
+          }
+        ]
+      },
+      {
+        "id": 2,
+        "title": "Average Processing Time",
+        "type": "graph",
+        "targets": [
+          {
+            "expr": "arroyopy_avg_processing_seconds",
+            "legendFormat": "avg time",
+            "refId": "A"
+          }
+        ],
+        "gridPos": {
+          "h": 8,
+          "w": 12,
+          "x": 12,
+          "y": 0
+        },
+        "yaxes": [
+          {
+            "label": "seconds",
+            "show": true
+          },
+          {
+            "show": true
+          }
+        ]
+      },
+      {
+        "id": 3,
+        "title": "Total Messages Processed",
+        "type": "graph",
+        "targets": [
+          {
+            "expr": "arroyopy_processing_seconds_count",
+            "legendFormat": "total",
+            "refId": "A"
+          }
+        ],
+        "gridPos": {
+          "h": 8,
+          "w": 12,
+          "x": 0,
+          "y": 8
+        },
+        "yaxes": [
+          {
+            "label": "total messages",
+            "show": true
+          },
+          {
+            "show": true
+          }
+        ]
+      },
+      {
+        "id": 4,
+        "title": "Processing Time Percentiles",
+        "type": "graph",
+        "targets": [
+          {
+            "expr": "histogram_quantile(0.50, rate(arroyopy_processing_seconds_bucket[5m]))",
+            "legendFormat": "p50",
+            "refId": "A"
+          },
+          {
+            "expr": "histogram_quantile(0.95, rate(arroyopy_processing_seconds_bucket[5m]))",
+            "legendFormat": "p95",
+            "refId": "B"
+          },
+          {
+            "expr": "histogram_quantile(0.99, rate(arroyopy_processing_seconds_bucket[5m]))",
+            "legendFormat": "p99",
+            "refId": "C"
+          }
+        ],
+        "gridPos": {
+          "h": 8,
+          "w": 12,
+          "x": 12,
+          "y": 8
+        },
+        "yaxes": [
+          {
+            "label": "seconds",
+            "show": true
+          },
+          {
+            "show": true
+          }
+        ]
+      }
+    ]
+  },
+  "folderId": 0,
+  "overwrite": true
+}
diff --git a/config/grafana-dashboards.yml b/config/grafana-dashboards.yml
new file mode 100644
index 0000000..92cdd99
--- /dev/null
+++ b/config/grafana-dashboards.yml
@@ -0,0 +1,12 @@
+apiVersion: 1
+
+providers:
+  - name: 'Arroyopy Dashboards'
+    orgId: 1
+    folder: ''
+    type: file
+    disableDeletion: false
+    updateIntervalSeconds: 10
+    allowUiUpdates: true
+    options:
+      path: /etc/grafana/provisioning/dashboards
diff --git a/config/grafana-datasources.yml b/config/grafana-datasources.yml
new file mode 100644
index 0000000..f9924f8
--- /dev/null
+++ b/config/grafana-datasources.yml
@@ -0,0 +1,15 @@
+# Grafana datasource provisioning configuration
+
+apiVersion: 1
+
+datasources:
+  # Prometheus datasource
+  - name: Prometheus
+    type: prometheus
+    access: proxy
+    url: http://prometheus:9090
+    isDefault: true
+    editable: true
+    jsonData:
+      timeInterval: "5s"
+      queryTimeout: "60s"
diff --git a/config/prometheus.yml b/config/prometheus.yml
new file mode 100644
index 0000000..6aaef1b
--- /dev/null
+++ b/config/prometheus.yml
@@ -0,0 +1,27 @@
+# Prometheus configuration for Arroyopy metrics
+
+global:
+  scrape_interval: 15s  # How frequently to scrape targets
+  evaluation_interval: 15s  # How frequently to evaluate rules
+
+# Scrape configurations
+scrape_configs:
+  # Arroyopy application metrics
+  - job_name: 'arroyopy'
+    static_configs:
+      - targets: ['host.docker.internal:8000']  # Default metrics port
+        labels:
+          service: 'arroyopy'
+          environment: 'development'
+
+    # Scrape more frequently for development
+    scrape_interval: 5s
+
+  # Prometheus itself
+  - job_name: 'prometheus'
+    static_configs:
+      - targets: ['localhost:9090']
+
+# Note: For Linux, you may need to use the host's IP address instead of host.docker.internal
+# Find your IP with: ip addr show docker0 | grep inet
+# Then replace host.docker.internal with that IP (usually 172.17.0.1)
diff --git a/docker-compose-dev.yml b/docker-compose-dev.yml
new file mode 100644
index 0000000..7d946d2
--- /dev/null
+++ b/docker-compose-dev.yml
@@ -0,0 +1,20 @@
+services:
+  dev_processor:
+  # dcc -f docker-compose-dev.yml run --entrypoint /bin/bash dev_processor -i
+    build:
+      context: .
+      dockerfile: Dockerfile_processor
+    command: "block_configs/timepix_processor_block.yaml"
+    restart: unless-stopped
+
+    volumes:
+      - .:/app:rw,z
+    ports:
+      - "8001:8001"
+    networks:
+      mle_net:
+
+networks:
+  mle_net:
+    name: mle_net
+    driver: bridge
\ No newline at end of file
diff --git a/docker-compose.yml b/docker-compose.yml
index 7eae1da..1301568 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,7 +1,10 @@
 services:
   tiled:
     # see the file ./tiled/deploy/config.yml for detailed configuration of tiled
+    # to start tiled, add, run "docker-compose --profile tiled up tiled"
     image: ghcr.io/bluesky/tiled:main
+    profiles:
+      - tiled
     ports:
       - "8000:8000"
     environment:
@@ -18,21 +21,24 @@ services:
     networks:
       - mle_net
 
-
   timepix_processor:
+    # profiles:
+    #   - dev
+    command: "/block_configs/timepix_processor_block.yaml"
     build:
       context: .
       dockerfile: Dockerfile_processor
-    command: "block_configs/timepix_processor_block.yaml"
     restart: unless-stopped
     ports:
       - "8001:8001"
     volumes:
-      - .:/app:Z
+      - ./block_configs:/block_configs:ro,Z
     networks:
       mle_net:
 
 
+
+
   frontend:
     build:
       context: .
@@ -45,7 +51,52 @@ services:
     networks:
       mle_net:
 
+
+  jaeger:
+    image: jaegertracing/all-in-one:latest
+    ports:
+      - "127.0.0.1:16686:16686"  # Jaeger UI
+      - "127.0.0.1:4317:4317"    # OTLP gRPC receiver
+      - "127.0.0.1:4318:4318"    # OTLP HTTP receiver
+    environment:
+      - COLLECTOR_OTLP_ENABLED=true
+    restart: unless-stopped
+
+  prometheus:
+    image: prom/prometheus:latest
+    ports:
+      - "127.0.0.1:9090:9090"  # Prometheus UI
+    volumes:
+      - ./config/prometheus.yml:/etc/prometheus/prometheus.yml:ro,z
+      - prometheus-data:/prometheus
+    command:
+      - '--config.file=/etc/prometheus/prometheus.yml'
+      - '--storage.tsdb.path=/prometheus'
+      - '--web.console.libraries=/usr/share/prometheus/console_libraries'
+      - '--web.console.templates=/usr/share/prometheus/consoles'
+    restart: unless-stopped
+
+  grafana:
+    image: grafana/grafana:latest
+    ports:
+      - "127.0.0.1:3000:3000"  # Grafana UI
+    environment:
+      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD:-admin}
+      - GF_USERS_ALLOW_SIGN_UP=false
+    volumes:
+      - grafana-data:/var/lib/grafana
+      - ./config/grafana-datasources.yml:/etc/grafana/provisioning/datasources/datasources.yml:ro,z
+      - ./config/grafana-dashboards.yml:/etc/grafana/provisioning/dashboards/dashboards.yml:ro,z
+      - ./config/grafana-dashboard.json:/etc/grafana/provisioning/dashboards/arroyopy-dashboard.json:ro,z
+    depends_on:
+      - prometheus
+    restart: unless-stopped
+
+volumes:
+  prometheus-data:
+  grafana-data:
+
 networks:
   mle_net:
     name: mle_net
-    driver: bridge
+    external: true
diff --git a/frontend/.env.react b/frontend/.env.react
new file mode 100644
index 0000000..d1f8f71
--- /dev/null
+++ b/frontend/.env.react
@@ -0,0 +1,2 @@
+TILED_SINGLE_USER_API_KEY=abd9b004648769d0a3d7406d
+REACT_APP_WEBSOCKET_URL=ws://galibier.dhcp.lbl.gov:8001/simImages
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index a57198d..7f8212f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,10 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
 [project]
-name = "tr-ap-xps"
-version = "0.0.1"
+name = "arroyoxps"
+version = "0.1.0"
 authors = [
     { name="Dylan McReynolds", email="dmcreynolds@lbl.gov"},
 ]
@@ -13,7 +17,7 @@ classifiers = [
 ]
 
 dependencies = [
-    "arroyopy @ git+https://github.com/als-computing/arroyopy.git",
+    "arroyopy @ git+https://github.com/als-computing/arroyopy.git@refs/heads/open_telemetry",
     "astropy",
     "dynaconf",
     "python-dotenv",
@@ -56,6 +60,8 @@ simulator = [
 Homepage = "https://github.com/als-computing/AP-XPS"
 Issues = "https://github.com/als-computing/AP-XPS/issues"
 
+[tool.setuptools.packages.find]
+where = ["src"]
 
 [tool.isort]
 
diff --git a/src/_tests/test_processor.py b/src/_tests/test_processor.py
index f8c5b74..4e29a8f 100644
--- a/src/_tests/test_processor.py
+++ b/src/_tests/test_processor.py
@@ -49,4 +49,4 @@ def test_xps_processor():
 # ), "Expected a single row with 10 columns, matching a veritcally filtered integrated frame"
 
 # xps_dataset.finish()
-# assert xps_dataset.tiled_struct.timing_node.read().shape[0] == 2
+
diff --git a/src/tr_ap_xps/pipeline/fft.py b/src/tr_ap_xps/pipeline/fft.py
index 8ea8b2c..9c5e1d3 100644
--- a/src/tr_ap_xps/pipeline/fft.py
+++ b/src/tr_ap_xps/pipeline/fft.py
@@ -1,9 +1,7 @@
 import numpy as np
 
-from ..timing import timer
 
 
-@timer
 def get_vfft(array: np.array):
     """
     Perform fft along colmns
@@ -12,12 +10,11 @@ def get_vfft(array: np.array):
     return np.abs(np.log(np.abs(np.fft.fft(array[:, :], axis=0)) + epsilon))
 
 
-@timer
+
 def get_sum(array: np.array):
     return np.sum(array[:, :], axis=1)
 
 
-@timer
 def get_ifft(array: np.array, repeat_factor: int = 25, width: int = 0):
     """
     Perform IFFT filtering on the input array.
@@ -50,7 +47,6 @@ def get_ifft(array: np.array, repeat_factor: int = 25, width: int = 0):
     return np.abs(ifcarray)
 
 
-@timer
 def calculate_fft_items(array: np.array, repeat_factor: int = 20, width: int = 0):
     assert (
         isinstance(repeat_factor, int) and repeat_factor > 0
diff --git a/src/tr_ap_xps/pipeline/peak_fitting.py b/src/tr_ap_xps/pipeline/peak_fitting.py
index 1271990..df4102e 100644
--- a/src/tr_ap_xps/pipeline/peak_fitting.py
+++ b/src/tr_ap_xps/pipeline/peak_fitting.py
@@ -12,8 +12,6 @@
 from astropy.modeling import fitting, models
 from scipy import signal
 
-from ..timing import timer
-
 warnings.filterwarnings(
     "ignore",
     message="The fit may be unsuccessful; Maximum number of iterations reached.",
@@ -21,8 +19,6 @@
     module="astropy.modeling.optimizers",
 )
 
-
-@timer
 # find the bins
 def bayesian_block_finder(
     x: np.ndarray = np.ones(
@@ -170,8 +166,6 @@ def bayesian_block_finder(
 
     return np.array(boundaries)
 
-
-@timer
 def peak_helper(x_data, y_data, num_peaks, peak_shape):
     x_data = np.array(x_data)
     y_data = np.array(y_data)
@@ -250,8 +244,6 @@ def peak_helper(x_data, y_data, num_peaks, peak_shape):
                 )
     return ind_peaks, FWHM_list, flag_list, g_unfit, g_fit, amplitude_list
 
-
-@timer
 def get_peaks(x_data, y_data, num_peaks, peak_shape):
     base_list = None
     unfit_list = [[], []]
@@ -296,7 +288,6 @@ def get_peaks(x_data, y_data, num_peaks, peak_shape):
     return return_list, unfit_list, fit_list, residual, base_list
 
 
-@timer
 def peak_fit(one_d_array: np.ndarray):
     assert one_d_array.ndim == 1, "Input array must be 1-dimensional"
     x = np.arange(one_d_array.shape[0])
diff --git a/src/tr_ap_xps/pipeline/xps_operator.py b/src/tr_ap_xps/pipeline/xps_operator.py
index 0d358c4..40eafdb 100644
--- a/src/tr_ap_xps/pipeline/xps_operator.py
+++ b/src/tr_ap_xps/pipeline/xps_operator.py
@@ -2,13 +2,14 @@
 import logging
 import os
 
+from arroyopy import init_telemetry, traced
 import numpy as np
 from arroyopy.operator import Operator
 from arroyopy.schemas import Message
+from prometheus_client import start_http_server
 
 from ..log_utils import setup_logger
 from ..schemas import (
-    DataFrameModel,
     NumpyArrayModel,
     XPSRawEvent,
     XPSResult,
@@ -17,7 +18,7 @@
     XPSStart,
     XPSStop,
 )
-from ..timing import timer
+
 from .xps_processor import XPSProcessor
 
 setup_logger(
@@ -57,6 +58,7 @@ def _compute_timepix_arrays(self, message: XPSRawEvent):
 
         return integrated_2d, shot_mean_2d
 
+    @traced(span_name="process_xps_message", attributes={"component": "xps_operator"})
     async def process(self, message: Message) -> None:
         """
         Asynchronously handles different types of XPS messages. Handles the lifecycle of an XPSProcessor,
@@ -73,7 +75,6 @@ async def process(self, message: Message) -> None:
         """
         if isinstance(message, XPSStart):
             logger.info(f"Start message received: scan_name={message.scan_name}")
-            timer.reset()
             self.xps_processor = XPSProcessor(message)
             self.cumulative_sum = None
             self.total_cycles = 0
@@ -106,7 +107,6 @@ async def process(self, message: Message) -> None:
                         shot_mean=NumpyArrayModel(array=shot_mean_2d),
                         shot_std=None,
                     )
-                    timer.end_frame()
                 except Exception as e:
                     logger.error(f"Error computing timepix arrays: {e}", exc_info=True)
                     return
@@ -124,15 +124,8 @@ async def process(self, message: Message) -> None:
             self.total_cycles = 0
             self.xps_processor = None
             try:
-                timings_df = timer.timing_dataframe
                 await self.publish(
-                    XPSResultStop(
-                        function_timings=(
-                            DataFrameModel(df=timings_df)
-                            if not timings_df.empty
-                            else None
-                        )
-                    )
+                    XPSResultStop()
                 )
             except Exception as e:
                 logger.error(f"Error publishing XPSResultStop: {e}", exc_info=True)
@@ -140,6 +133,14 @@ async def process(self, message: Message) -> None:
         else:
             logger.warning(f"Unknown message type received: {type(message)}")
 
-
-def build_xps_operator(build_heatmaps: bool = False) -> XPSOperator:
+def build_xps_operator(build_heatmaps: bool = False, otlp_endpoint: str = "http://localhost:4317") -> XPSOperator:
+    # Start Prometheus metrics server
+    # logger.info("✓ Starting Prometheus metrics server on port 8000")
+    # start_http_server(8000)
+    # print("  → Metrics available at: http://localhost:8000/metrics")
+    # Initialize OpenTelemetry
+    init_telemetry(
+        service_name="arroyopy-demo",
+        otlp_endpoint=otlp_endpoint,
+    )
     return XPSOperator(build_heatmaps=build_heatmaps)
diff --git a/src/tr_ap_xps/pipeline/xps_processor.py b/src/tr_ap_xps/pipeline/xps_processor.py
index 12957d8..1c5e138 100644
--- a/src/tr_ap_xps/pipeline/xps_processor.py
+++ b/src/tr_ap_xps/pipeline/xps_processor.py
@@ -3,7 +3,7 @@
 import numpy as np
 
 from ..schemas import DataFrameModel, NumpyArrayModel, XPSRawEvent, XPSResult, XPSStart
-from ..timing import timer
+from arroyopy import traced
 from .fft import calculate_fft_items
 from .peak_fitting import peak_fit
 
@@ -28,11 +28,11 @@ def __init__(self, message: XPSStart):
         self.shot_rolling_variance = None
         self.shot_rolling_std = None
 
-    @timer
+    @traced(span_name="compute_mean", attributes={"component": "xps_processor"})
     def _compute_mean(self, curr_frame: np.array):
         return np.mean(curr_frame, axis=0)
 
-    @timer
+    @traced(span_name="compute_rolling_values", attributes={"component": "xps_processor"})
     def _compute_rolling_values(self, curr_frame: np.array):
         if self.shot_rolling_mean is None:
             self.shot_rolling_mean = curr_frame
@@ -44,7 +44,7 @@ def _compute_rolling_values(self, curr_frame: np.array):
             self.shot_rolling_mean = new_mean
             self.shot_rolling_std = np.sqrt(self.shot_rolling_variance / self.shot_num)
 
-    @timer
+    @traced(span_name="process_frame", attributes={"component": "xps_processor"})
     def process_frame(self, message: XPSRawEvent) -> None:
         try:
             # Compute horizontally-integrated frame
@@ -97,7 +97,6 @@ def process_frame(self, message: XPSRawEvent) -> None:
                     shot_std=NumpyArrayModel(array=self.shot_rolling_std),
                 )
                 self.shot_cache = None
-                timer.end_frame()
                 return result 
         except Exception as e:
             logger.exception(f"Error processing frame: {e}")
diff --git a/src/tr_ap_xps/schemas.py b/src/tr_ap_xps/schemas.py
index 34eb1b0..a10ba8b 100644
--- a/src/tr_ap_xps/schemas.py
+++ b/src/tr_ap_xps/schemas.py
@@ -218,4 +218,3 @@ class XPSResultStop(Stop, XPSMessage):
     Published by XPSOperator when processing ends.
     """
     msg_type: str = Literal["result_stop"]
-    function_timings: Optional[DataFrameModel] = None
diff --git a/src/tr_ap_xps/tiled.py b/src/tr_ap_xps/tiled.py
index 2b6e9f3..eaabf55 100644
--- a/src/tr_ap_xps/tiled.py
+++ b/src/tr_ap_xps/tiled.py
@@ -3,6 +3,7 @@
 from dataclasses import dataclass
 from typing import Union
 
+from arroyopy import traced
 import numpy as np
 import pandas as pd
 from tiled.client.array import ArrayClient
@@ -29,7 +30,6 @@ class TiledScan:
     vfft: ArrayClient = None
     ifft: ArrayClient = None
     shot_sum: ArrayClient = None
-    function_timings: DataFrameClient = None
 
 
 class TiledPublisher(Publisher[XPSResult | XPSStart | XPSResultStop]):
@@ -41,6 +41,7 @@ def __init__(self, runs_node: Container) -> None:
         super().__init__()
         self.runs_node = runs_node
 
+    @traced(span_name="tiled_publish", attributes={"component": "tiled_publisher"})
     async def publish(
         self, message: Union[XPSResult | XPSStart | XPSResultStop]
     ) -> None:
@@ -52,17 +53,6 @@ async def publish(
             self.current_tiled_scan = TiledScan(run_node=current_tiled_run_node)
             return
 
-        elif isinstance(message, XPSResultStop):
-            if not self.current_tiled_scan:
-                return
-            await asyncio.to_thread(
-                create_tiled_table_node,
-                self.current_tiled_scan.run_node,
-                message.function_timings.df,
-                "function_timings",
-            )
-            return
-
         elif not isinstance(message, XPSResult):
             raise KeyError(f"Unsupported message type {type(message)}")
 
@@ -74,31 +64,7 @@ async def publish(
 
         await asyncio.to_thread(self.update_tiled_scan, message)
 
-        # await asyncio.to_thread(
-        #     patch_tiled_array,
-        #     self.current_tiled_scan.integrated_frames,
-        #     message.integrated_frames.array)
-
-        # await asyncio.to_thread(
-        #     patch_tiled_dataframe,
-        #     self.current_tiled_scan.detected_peaks,
-        #     message.detected_peaks)
-
-        # await asyncio.to_thread(
-        #     patch_tiled_array,
-        #     self.current_tiled_scan.vfft,
-        #     message.vfft.array)
-
-        # await asyncio.to_thread(
-        #     patch_tiled_array,
-        #     self.current_tiled_scan.ifft,
-        #     message.ifft.array)
-
-        # await asyncio.to_thread(
-        #     patch_tiled_array,
-        #     self.current_tiled_scan.sum,
-        #     message.sum.array)
-
+    @traced(span_name="tiled_update_scan", attributes={"component": "tiled_publisher"})
     def update_tiled_scan(self, message: XPSResult) -> None:
         patch_tiled_array(
             self.current_tiled_scan.integrated_frames, message.integrated_frames.array
@@ -116,7 +82,7 @@ def create_run_container(client: Container, name: str) -> Container:
         return client.create_container(name)
     return client[name]
 
-
+@traced(span_name="tiled_create_data_nodes", attributes={"component": "tiled_publisher"})
 def create_data_nodes(tiled_scan: TiledScan, message: XPSResult) -> None:
     tiled_scan.integrated_frames = tiled_scan.run_node.write_array(
         message.integrated_frames.array, key="integrated_frames"
@@ -131,12 +97,14 @@ def create_data_nodes(tiled_scan: TiledScan, message: XPSResult) -> None:
     )
 
 
+@traced(span_name="tiled_patch_tiled_frame", attributes={"component": "tiled_publisher"})
 def patch_tiiled_frame(array_client: ArrayClient, array: np.ndarray) -> None:
     shape = array_client.shape
     offset = (shape[0],)
     array_client.patch(array[None, :], offset=offset, extend=True)
 
 
+@traced(span_name="tiled_patch_tiled_array", attributes={"component": "tiled_publisher"})
 def patch_tiled_array(
     array_client: ArrayClient, array: np.ndarray, axis_to_increment: int = 0
 ) -> None:
@@ -151,7 +119,7 @@ def patch_tiled_array(
     offset = (shape[axis_to_increment] + 1,)
     array_client.patch(array[-1:], offset=offset, extend=True)
 
-
+@traced(span_name="tiled_create_tiled_table_node", attributes={"component": "tiled_publisher"})
 def create_tiled_table_node(
     parent_node: Container, data_frame: pd.DataFrame, name: str
 ):
@@ -172,5 +140,6 @@ def create_tiled_table_node(
         return frame
 
 
+@traced(span_name="tiled_append_table_node", attributes={"component": "tiled_publisher"})
 def append_table_node(table_node: DataFrameClient, data_frame: pd.DataFrame):
     table_node.append_partition(data_frame, 0)
diff --git a/src/tr_ap_xps/timepix.py b/src/tr_ap_xps/timepix.py
index 2c967c5..e4a825a 100644
--- a/src/tr_ap_xps/timepix.py
+++ b/src/tr_ap_xps/timepix.py
@@ -10,9 +10,8 @@
 from .schemas import NumpyArrayModel, XPSImageInfo, XPSRawEvent, XPSStart, XPSStop
 
 from arroyopy.operator import Operator
-
-
-
+from arroyopy.telemetry import traced
+ 
 logger = logging.getLogger(__name__)  
 
 
@@ -28,6 +27,8 @@ def setup_zmq(
     lv_zmq_socket.setsockopt(zmq.SUBSCRIBE, b"")
     return lv_zmq_socket
 
+
+@traced(span_name="process_message", attributes={"component": "timepix_listener"})
 class XPSTimepixZMQListener(ZMQListener):
     stop_signal = False
 
@@ -50,7 +51,7 @@ async def start(self):
                 except Exception as e:
                     logger.error(f"Error unpacking message: {e}")
                     continue
-
+                print(metadata)
                 msg_type = metadata.get("msg_type")
 
                 # Handle different message types
diff --git a/src/tr_ap_xps/timing.py b/src/tr_ap_xps/timing.py
deleted file mode 100644
index cd95e00..0000000
--- a/src/tr_ap_xps/timing.py
+++ /dev/null
@@ -1,40 +0,0 @@
-import functools
-import time
-
-import pandas as pd
-
-
-class TimingDecorator:
-    def __init__(self):
-        self.accumulated_timings = []
-        self.frame_timings = {}
-
-    def __call__(self, func):
-        @functools.wraps(func)
-        def wrapper(*args, **kwargs):
-            start_time = time.time()
-            result = func(*args, **kwargs)
-            end_time = time.time()
-            duration = end_time - start_time
-            self.frame_timings[func.__name__] = duration
-            # print(f"{func.__name__} took {duration:.4f} seconds")
-            return result
-
-        return wrapper
-
-    def end_frame(self):
-        if self.frame_timings:
-            self.accumulated_timings.append(self.frame_timings)
-        self.frame_timings = {}
-
-    @property
-    def timing_dataframe(self):
-        return pd.DataFrame(self.accumulated_timings)
-
-    def reset(self):
-        self.accumulated_timings = []
-        self.frame_timings = {}
-
-
-# Create a global instance of the TimingDecorator
-timer = TimingDecorator()
diff --git a/src/tr_ap_xps/websockets.py b/src/tr_ap_xps/websockets.py
index daba062..60c136d 100644
--- a/src/tr_ap_xps/websockets.py
+++ b/src/tr_ap_xps/websockets.py
@@ -4,6 +4,7 @@
 import logging
 from typing import Union
 
+from arroyopy import traced
 import msgpack
 import numpy as np
 import pandas as pd
@@ -43,6 +44,7 @@ async def start(
         logger.info(f"Websocket server started at ws://{parsed_url.hostname}:{parsed_url.port}")
         await server.wait_closed()
 
+    @traced(span_name="websocket_publish", attributes={"component": "xps_ws_publisher"})
     async def publish(self, message) -> None:
         if self.connected_clients:  # Only send if there are clients connected
             await asyncio.gather(
diff --git a/uv.lock b/uv.lock
index 45687f9..7197142 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,8 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.11, <3.13"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.13'",
+    "python_full_version == '3.12.*'",
     "python_full_version < '3.12'",
 ]
 
@@ -25,6 +26,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9a/b6/eac3aaef68fb102fc2b7a7213d0ffe736f7463bd37838110c93764bb5644/adbc_driver_manager-1.9.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e541dda28a9a7e6ac0e9ab3797e8e31153dcc75e333759cb519bcf942805a625", size = 3108751, upload-time = "2025-11-07T01:45:37.863Z" },
     { url = "https://files.pythonhosted.org/packages/64/18/2ddfa947dc6948c68349b22e59bb2f7786177046276a2cd4899a8dd8536b/adbc_driver_manager-1.9.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:df26073ada6069e95deb59f974cfc7aa4bf94f76080c997b1d6225159dd67227", size = 3135707, upload-time = "2025-11-07T01:45:39.72Z" },
     { url = "https://files.pythonhosted.org/packages/b0/46/532aeee27008928baad91b0420b498548a2ed6b7070de907e4d5b5937933/adbc_driver_manager-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:ee7dd922983f44e2933d0e539524d5174bf50f663fb09f70989ce5e1319a1d41", size = 707465, upload-time = "2025-11-07T01:45:40.97Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/e7/17a9738b8e6f549606f049f616b01b9517288022bf384cf6f2ef3127288c/adbc_driver_manager-1.9.0-cp313-cp313-macosx_10_15_x86_64.whl", hash = "sha256:7f9db5a3b38d4b9042b97dbee3c739b0a075585fbe2c11cdd60ba817a1618b03", size = 537614, upload-time = "2025-11-07T01:45:42.433Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/de/ae8d9a532dba87b61201bf64678b142afb07782c014539cef81681f0fa35/adbc_driver_manager-1.9.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:fe4affd71f7facdaf4c04839846b090c945586c36d0fd79cd7fb5a3251d36f85", size = 516016, upload-time = "2025-11-07T01:45:44.195Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/e7/c3039fd725636d1d25c339223027a7f999ac23048d4437ab5ad22f42ecdd/adbc_driver_manager-1.9.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0a7961db77730ce0ab326a225dc534b43d4017b28a30703eaac7e3cdf1e5fb7d", size = 3108213, upload-time = "2025-11-07T01:45:46.27Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/74/60407d06a3263155495e730e8fa671db976c918aea16b5471de16025b811/adbc_driver_manager-1.9.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f1a8ba1ad7c4b50f5486401cc1bf04d313f74065f0d752ab0145292ab746f0fb", size = 3131425, upload-time = "2025-11-07T01:45:48.312Z" },
+    { url = "https://files.pythonhosted.org/packages/35/28/260053893ca51b1f06e2fe652ee267cbfe359a2c4c8312dc0307a0f54579/adbc_driver_manager-1.9.0-cp313-cp313-win_amd64.whl", hash = "sha256:21e0ab1adb0c804955279b0a919ba8dec5264db1e85e43a89af9fbbf8a8e52c9", size = 706437, upload-time = "2025-11-07T01:45:57.327Z" },
+    { url = "https://files.pythonhosted.org/packages/30/79/4b478c9023c772ce36fb0dabc6bb49e8fe513e53a606e4bb6819589ddb54/adbc_driver_manager-1.9.0-cp313-cp313t-macosx_10_15_x86_64.whl", hash = "sha256:74f57cee4168ce79babc8c33468bc8eae6917aefc72f2493b0c24164c9a4c29b", size = 552602, upload-time = "2025-11-07T01:45:50.348Z" },
+    { url = "https://files.pythonhosted.org/packages/60/56/0613a0a4b307a2bba587fa2b6bd573c0aa433696134272f3ac9b98f38746/adbc_driver_manager-1.9.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:0dbda004d4cc4354bb14bed27451e248022298bd898b246b884a46fc880a93da", size = 533874, upload-time = "2025-11-07T01:45:51.696Z" },
+    { url = "https://files.pythonhosted.org/packages/7b/5c/d0a1cfe1b27d982ab3a2dfb1a56482d5ed3e601d2d47a6b20cbcc172fd30/adbc_driver_manager-1.9.0-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5377949e913483792ae30fac86be04ba377e4be12023d4db709c7eb870a196c1", size = 3170532, upload-time = "2025-11-07T01:45:54.039Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/26/e7ebccfce5b77c84386975d42f87fa2debd11dded7350ef493cccbb8c0bf/adbc_driver_manager-1.9.0-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:da8e2611c657599936968774ec39919c9edbbea6cffc4484c23df5bcb6657e08", size = 3160151, upload-time = "2025-11-07T01:45:55.797Z" },
 ]
 
 [[package]]
@@ -117,7 +127,7 @@ version = "4.12.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "idna" },
-    { name = "typing-extensions" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/16/ce/8a777047513153587e5434fd752e89334ac33e379aa3497db860eeb60377/anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0", size = 228266, upload-time = "2025-11-28T23:37:38.911Z" }
 wheels = [
@@ -181,19 +191,90 @@ wheels = [
 
 [[package]]
 name = "arroyopy"
-version = "0.2.2"
-source = { registry = "https://pypi.org/simple" }
+version = "0.3.0a8"
+source = { git = "https://github.com/als-computing/arroyopy.git?rev=refs%2Fheads%2Fopen_telemetry#eee443bf4fdbc911d993923b2a518c56c789b286" }
 dependencies = [
     { name = "numpy" },
+    { name = "opentelemetry-api" },
+    { name = "opentelemetry-exporter-otlp-proto-grpc" },
+    { name = "opentelemetry-sdk" },
     { name = "pandas" },
+    { name = "prometheus-client" },
     { name = "pydantic" },
     { name = "python-dotenv" },
+    { name = "pyyaml" },
     { name = "typer" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/3c/a3/8d67708ff7869142e0294b0c330336362ae761063f6499f166f291dd4417/arroyopy-0.2.2.tar.gz", hash = "sha256:d41afa984c1ff7fe6d5ddeb61b55b72a28f94c5c53890667d8b392fcb9bb9802", size = 13333, upload-time = "2025-04-18T23:38:25.886Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/a6/33db6f2b1f705b3aba363b1e7d464780fd5a69ea770aa821ce04a83c41c0/arroyopy-0.2.2-py3-none-any.whl", hash = "sha256:6acaf1cbe6b9e6e60f147efbd1c16f3103339c2228864178617e5f764ce9c77d", size = 11949, upload-time = "2025-04-18T23:38:24.192Z" },
+
+[[package]]
+name = "arroyoxps"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "arroyopy" },
+    { name = "astropy" },
+    { name = "dynaconf" },
+    { name = "msgpack" },
+    { name = "numpy" },
+    { name = "pandas" },
+    { name = "pillow" },
+    { name = "python-dotenv" },
+    { name = "pyzmq" },
+    { name = "scipy" },
+    { name = "tiled", extra = ["client"] },
+    { name = "tqdm" },
+    { name = "typer" },
+    { name = "websockets" },
+    { name = "zarr" },
+]
+
+[package.optional-dependencies]
+dev = [
+    { name = "fakeredis" },
+    { name = "flake8" },
+    { name = "pre-commit" },
+    { name = "pytest-asyncio" },
+    { name = "pytest-mock" },
+    { name = "tiled", extra = ["server"] },
+]
+notebook = [
+    { name = "jupyterlab" },
+    { name = "matplotlib" },
+    { name = "python-dotenv" },
+]
+simulator = [
+    { name = "h5py" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "arroyopy", git = "https://github.com/als-computing/arroyopy.git?rev=refs%2Fheads%2Fopen_telemetry" },
+    { name = "astropy" },
+    { name = "dynaconf" },
+    { name = "fakeredis", marker = "extra == 'dev'" },
+    { name = "flake8", marker = "extra == 'dev'" },
+    { name = "h5py", marker = "extra == 'simulator'" },
+    { name = "jupyterlab", marker = "extra == 'notebook'" },
+    { name = "matplotlib", marker = "extra == 'notebook'" },
+    { name = "msgpack" },
+    { name = "numpy" },
+    { name = "pandas" },
+    { name = "pillow" },
+    { name = "pre-commit", marker = "extra == 'dev'" },
+    { name = "pytest-asyncio", marker = "extra == 'dev'" },
+    { name = "pytest-mock", marker = "extra == 'dev'" },
+    { name = "python-dotenv" },
+    { name = "python-dotenv", marker = "extra == 'notebook'" },
+    { name = "pyzmq" },
+    { name = "scipy", specifier = "==1.14.1" },
+    { name = "tiled", extras = ["client"] },
+    { name = "tiled", extras = ["server"], marker = "extra == 'dev'" },
+    { name = "tqdm" },
+    { name = "typer" },
+    { name = "websockets" },
+    { name = "zarr" },
 ]
+provides-extras = ["dev", "notebook", "simulator"]
 
 [[package]]
 name = "asgi-correlation-id"
@@ -289,6 +370,14 @@ wheels = [
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