feat: add autoscaling values for ralph and superset

README.rst

@@ -97,6 +97,14 @@ At this point you should have a working Tutor / Aspects environment, but with no
 
 You should now have data to look at in Superset! Log in to https://superset.local.overhang.io/ with your admin account and you should see charts with your data.
 
+Aspects Autoscaling
+-------------------
+
+Aspects adds default autoscaling values for `Ralph`, `Superset` and the `Superset Worker` deployments via
+`tutor-contrib-pod-autoscaling <https://github.com/eduNEXT/tutor-contrib-pod-autoscaling>`_. To apply the
+autoscaling settings make sure to install the plugin and enable it. To modify the autoscaling values
+see the `Configuration <https://github.com/eduNEXT/tutor-contrib-pod-autoscaling?tab=readme-ov-file#configuration>`_ section.
+
 Superset Assets
 ---------------
 

tutoraspects/filters.py

@@ -0,0 +1,46 @@
+from tutorpod_autoscaling.hooks import AUTOSCALING_CONFIG
+
+
+@AUTOSCALING_CONFIG.add()
+def add_aspects_autoscaling(autoscaling_config):
+    autoscaling_config.update(
+        {
+            "ralph": {
+                "enable_hpa": True,
+                "memory_request": "300Mi",
+                "cpu_request": 0.25,
+                "memory_limit": "600Mi",
+                "cpu_limit": 1,
+                "min_replicas": 1,
+                "max_replicas": 10,
+                "avg_cpu": 80,
+                "avg_memory": "",
+                "enable_vpa": False,
+            },
+            "superset": {
+                "enable_hpa": True,
+                "memory_request": "500Mi",
+                "cpu_request": 0.25,
+                "memory_limit": "1000Mi",
+                "cpu_limit": 1,
+                "min_replicas": 1,
+                "max_replicas": 10,
+                "avg_cpu": 80,
+                "avg_memory": "",
+                "enable_vpa": False,
+            },
+            "superset-worker": {
+                "enable_hpa": True,
+                "memory_request": "600Mi",
+                "cpu_request": 0.25,
+                "memory_limit": "1500Mi",
+                "cpu_limit": 1,
+                "min_replicas": 1,
+                "max_replicas": 10,
+                "avg_cpu": 80,
+                "avg_memory": "",
+                "enable_vpa": False,
+            },
+        }
+    )
+    return autoscaling_config

tutoraspects/plugin.py

@@ -636,3 +636,9 @@ def _aspects_public_hosts(
 # file for now.
 for f in TUTOR_V1_COMMANDS:
     hooks.Filters.CLI_COMMANDS.add_item(f)
+
+# Autoscaling
+try:
+    from tutoraspects.filters import add_aspects_autoscaling
+except ImportError:
+    pass