diff --git a/docker-compose.yml b/docker-compose.yml
index edf3a4c7..d60a8682 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -51,6 +51,7 @@ services:
             - DEV=1
             - SEVERITY_ENABLED=1
             - GROUPING_ENABLED=1
+            - ANOMALY_DETECTION_ENABLED=1
             - CELERY_WORKER_ENABLE=true
             - PORT=9091
             - SMOKE_TEST=1
diff --git a/src/seer/anomaly_detection/anomaly_detection.py b/src/seer/anomaly_detection/anomaly_detection.py
index 45ccd30a..0417ef45 100644
--- a/src/seer/anomaly_detection/anomaly_detection.py
+++ b/src/seer/anomaly_detection/anomaly_detection.py
@@ -1,7 +1,9 @@
 import logging
 from typing import List, Tuple
 
+import numpy as np
 import sentry_sdk
+import stumpy  # type: ignore # mypy throws "missing library stubs"
 from pydantic import BaseModel
 
 from seer.anomaly_detection.accessors import AlertDataAccessor
@@ -27,6 +29,25 @@
 
 
 class AnomalyDetection(BaseModel):
+    @sentry_sdk.trace
+    def __init__(self):
+        """
+        Force Stumpy compilation by making a dummy call to the library.
+
+        Note: compilation triggered here is very specific to the exact values of parameters ignore_trivial, normalize etc. A
+            future call with different values for one or more parameter will still trigger a recompilation.
+        """
+        data = np.arange(10.0)
+        mp = stumpy.stump(data, m=3, ignore_trivial=True, normalize=False)
+        stream = stumpy.stumpi(
+            data,
+            m=3,
+            mp=mp,
+            normalize=False,
+            egress=False,
+        )
+        stream.update(6.0)
+
     @sentry_sdk.trace
     def _batch_detect(
         self, timeseries: List[TimeSeriesPoint], config: AnomalyDetectionConfig
@@ -181,6 +202,7 @@ def _update_anomalies(self, ts_external: List[TimeSeriesPoint], anomalies: TimeS
                 anomaly_type=anomalies.flags[i],
             )
 
+    @sentry_sdk.trace
     def detect_anomalies(self, request: DetectAnomaliesRequest) -> DetectAnomaliesResponse:
         """
         Main entry point for anomaly detection.
@@ -190,21 +212,22 @@ def detect_anomalies(self, request: DetectAnomaliesRequest) -> DetectAnomaliesRe
             Anomaly detection request that has either a complete time series or an alert reference.
         """
         if isinstance(request.context, AlertInSeer):
-            transaction_name = "Stream AD for alert"
+            mode = "streaming.alert"
+        elif isinstance(request.context, TimeSeriesWithHistory):
+            mode = "streaming.ts_with_history"
+        else:
+            mode = "batch.ts_full"
+
+        sentry_sdk.set_tag("ad_mode", mode)
+
+        if isinstance(request.context, AlertInSeer):
+            ts, anomalies = self._online_detect(request.context, request.config)
         elif isinstance(request.context, TimeSeriesWithHistory):
-            transaction_name = "Stream AD for timeseries with history"
+            ts, anomalies = self._combo_detect(request.context, request.config)
         else:
-            transaction_name = "Batch AD for timeseries"
-
-        with sentry_sdk.start_transaction(op="task", name=transaction_name):
-            if isinstance(request.context, AlertInSeer):
-                ts, anomalies = self._online_detect(request.context, request.config)
-            elif isinstance(request.context, TimeSeriesWithHistory):
-                ts, anomalies = self._combo_detect(request.context, request.config)
-            else:
-                ts, anomalies = self._batch_detect(request.context, request.config)
-            self._update_anomalies(ts, anomalies)
-            return DetectAnomaliesResponse(timeseries=ts)
+            ts, anomalies = self._batch_detect(request.context, request.config)
+        self._update_anomalies(ts, anomalies)
+        return DetectAnomaliesResponse(timeseries=ts)
 
     @inject
     def store_data(
diff --git a/src/seer/bootup.py b/src/seer/bootup.py
index f8a63eb1..f3d11f71 100644
--- a/src/seer/bootup.py
+++ b/src/seer/bootup.py
@@ -36,10 +36,11 @@ def bootup(
     *, start_model_loading: bool, integrations: list[Integration], config: AppConfig = injected
 ):
     initialize_sentry_sdk(integrations)
-    initialize_logs(["seer.", "celery_app."])
-    config.do_validation()
-    initialize_database()
-    initialize_models(start_model_loading)
+    with sentry_sdk.metrics.timing(key="seer_bootup_time"):
+        initialize_logs(["seer.", "celery_app."])
+        config.do_validation()
+        initialize_database()
+        initialize_models(start_model_loading)
 
 
 @inject