diff --git a/profile.json b/profile.json
new file mode 100644
index 0000000000000..cb82fc5e169f1
--- /dev/null
+++ b/profile.json
@@ -0,0 +1 @@
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diff --git a/python_modules/dagster-graphql/dagster_graphql/schema/asset_checks.py b/python_modules/dagster-graphql/dagster_graphql/schema/asset_checks.py
index 20ae2de0a6b30..fef57e244d621 100644
--- a/python_modules/dagster-graphql/dagster_graphql/schema/asset_checks.py
+++ b/python_modules/dagster-graphql/dagster_graphql/schema/asset_checks.py
@@ -158,7 +158,7 @@ async def resolve_executionForLatestMaterialization(
         record = await AssetCheckExecutionRecord.gen(graphene_info.context, self._asset_check.key)
         return (
             GrapheneAssetCheckExecution(record)
-            if record and record.targets_latest_materialization(graphene_info.context)
+            if record and await record.targets_latest_materialization(graphene_info.context)
             else None
         )
 
diff --git a/python_modules/dagster-test/dagster_test/toys/auto_materializing/large_graph.py b/python_modules/dagster-test/dagster_test/toys/auto_materializing/large_graph.py
index 6449ba0eed8b6..d5885bb1709bf 100644
--- a/python_modules/dagster-test/dagster_test/toys/auto_materializing/large_graph.py
+++ b/python_modules/dagster-test/dagster_test/toys/auto_materializing/large_graph.py
@@ -2,58 +2,83 @@
 from typing import List, NamedTuple, Optional, Sequence
 
 from dagster import (
+    AssetCheckResult,
+    AssetCheckSpec,
+    AssetKey,
     AssetsDefinition,
     AutoMaterializePolicy,
+    AutomationCondition,
     DailyPartitionsDefinition,
     HourlyPartitionsDefinition,
+    MaterializeResult,
     PartitionsDefinition,
     StaticPartitionsDefinition,
     asset,
     repository,
 )
+from dagster._core.execution.context.asset_execution_context import AssetExecutionContext
+from dagster._utils.warnings import disable_dagster_warnings
 
 
 class AssetLayerConfig(NamedTuple):
     n_assets: int
     n_upstreams_per_asset: int = 0
     partitions_def: Optional[PartitionsDefinition] = None
+    n_checks_per_asset: int = 0
 
 
 def build_assets(
     id: str,
     layer_configs: Sequence[AssetLayerConfig],
-    auto_materialize_policy: AutoMaterializePolicy = AutoMaterializePolicy.eager(),
+    automation_condition: AutomationCondition = AutomationCondition.eager(),
 ) -> List[AssetsDefinition]:
-    layers = []
-
-    for layer_config in layer_configs:
-        parent_index = 0
-        layer = []
-        for i in range(layer_config.n_assets):
-            if layer_config.n_upstreams_per_asset > 0:
-                # each asset connects to n_upstreams_per_asset assets from the above layer, chosen
-                # in a round-robin manner
-                non_argument_deps = {
-                    layers[-1][(parent_index + j) % len(layers[-1])].key
-                    for j in range(layer_config.n_upstreams_per_asset)
-                }
-                parent_index += layer_config.n_upstreams_per_asset
-            else:
-                non_argument_deps = set()
-
-            @asset(
-                partitions_def=layer_config.partitions_def,
-                name=f"{id}_{len(layers)}_{i}",
-                auto_materialize_policy=auto_materialize_policy,
-                non_argument_deps=non_argument_deps,
-            )
-            def _asset():
-                pass
-
-            layer.append(_asset)
-        layers.append(layer)
-
-    return list(itertools.chain(*layers))
+    with disable_dagster_warnings():
+        layers = []
+
+        for layer_config in layer_configs:
+            parent_index = 0
+            layer = []
+            for i in range(layer_config.n_assets):
+                if layer_config.n_upstreams_per_asset > 0:
+                    # each asset connects to n_upstreams_per_asset assets from the above layer, chosen
+                    # in a round-robin manner
+                    non_argument_deps = {
+                        layers[-1][(parent_index + j) % len(layers[-1])].key
+                        for j in range(layer_config.n_upstreams_per_asset)
+                    }
+                    parent_index += layer_config.n_upstreams_per_asset
+                else:
+                    non_argument_deps = set()
+
+                name = f"{id}_{len(layers)}_{i}"
+
+                @asset(
+                    partitions_def=layer_config.partitions_def,
+                    name=name,
+                    automation_condition=automation_condition,
+                    non_argument_deps=non_argument_deps,
+                    check_specs=[
+                        AssetCheckSpec(
+                            name=f"check{k}",
+                            asset=AssetKey(name),
+                            automation_condition=automation_condition,
+                        )
+                        for k in range(layer_config.n_checks_per_asset)
+                    ],
+                )
+                def _asset(context: AssetExecutionContext) -> MaterializeResult:
+                    return MaterializeResult(
+                        asset_key=context.asset_key,
+                        check_results=[
+                            AssetCheckResult(check_name=key.name, passed=True)
+                            for key in context.selected_asset_check_keys
+                        ],
+                    )
+
+                layer.append(_asset)
+            layers.append(layer)
+
+        return list(itertools.chain(*layers))
 
 
 hourly = HourlyPartitionsDefinition(start_date="2022-01-01-00:00")
@@ -74,6 +99,7 @@ def auto_materialize_large_time_graph():
             AssetLayerConfig(n_assets=100, n_upstreams_per_asset=4, partitions_def=daily),
             AssetLayerConfig(n_assets=100, n_upstreams_per_asset=4, partitions_def=daily),
         ],
+        automation_condition=AutoMaterializePolicy.eager().to_automation_condition(),
     )
 
 
@@ -88,4 +114,5 @@ def auto_materialize_large_static_graph():
             AssetLayerConfig(n_assets=100, n_upstreams_per_asset=4, partitions_def=static),
             AssetLayerConfig(n_assets=100, n_upstreams_per_asset=4, partitions_def=None),
         ],
+        automation_condition=AutoMaterializePolicy.eager().to_automation_condition(),
     )
diff --git a/python_modules/dagster/dagster/_core/asset_graph_view/asset_graph_view.py b/python_modules/dagster/dagster/_core/asset_graph_view/asset_graph_view.py
index 17eaa0137c296..2034dd5b0d9d4 100644
--- a/python_modules/dagster/dagster/_core/asset_graph_view/asset_graph_view.py
+++ b/python_modules/dagster/dagster/_core/asset_graph_view/asset_graph_view.py
@@ -3,6 +3,7 @@
 from typing import (
     TYPE_CHECKING,
     AbstractSet,
+    Awaitable,
     Callable,
     Dict,
     Literal,
@@ -31,7 +32,6 @@
 from dagster._core.loader import LoadingContext
 from dagster._time import get_current_datetime
 from dagster._utils.aiodataloader import DataLoader
-from dagster._utils.cached_method import cached_method
 
 if TYPE_CHECKING:
     from dagster._core.definitions.base_asset_graph import BaseAssetGraph, BaseAssetNode
@@ -169,7 +169,6 @@ def _get_partitions_def(self, key: T_EntityKey) -> Optional["PartitionsDefinitio
         else:
             return None
 
-    @cached_method
     def get_full_subset(self, *, key: T_EntityKey) -> EntitySubset[T_EntityKey]:
         partitions_def = self._get_partitions_def(key)
         value = (
@@ -183,7 +182,6 @@ def get_full_subset(self, *, key: T_EntityKey) -> EntitySubset[T_EntityKey]:
         )
         return EntitySubset(self, key=key, value=_ValidatedEntitySubsetValue(value))
 
-    @cached_method
     def get_empty_subset(self, *, key: T_EntityKey) -> EntitySubset[T_EntityKey]:
         partitions_def = self._get_partitions_def(key)
         value = partitions_def.empty_subset() if partitions_def else False
@@ -356,17 +354,17 @@ def compute_latest_time_window_subset(
         else:
             check.failed(f"Unsupported partitions_def: {partitions_def}")
 
-    def compute_subset_with_status(
+    async def compute_subset_with_status(
         self, key: AssetCheckKey, status: Optional["AssetCheckExecutionResolvedStatus"]
     ):
         """Returns the subset of an asset check that matches a given status."""
         from dagster._core.storage.event_log.base import AssetCheckSummaryRecord
 
-        summary = AssetCheckSummaryRecord.blocking_get(self, key)
+        summary = await AssetCheckSummaryRecord.gen(self, key)
         latest_record = summary.last_check_execution_record if summary else None
         resolved_status = (
             latest_record.resolve_status(self)
-            if latest_record and latest_record.targets_latest_materialization(self)
+            if latest_record and await latest_record.targets_latest_materialization(self)
             else None
         )
         if resolved_status == status:
@@ -374,34 +372,50 @@ def compute_subset_with_status(
         else:
             return self.get_empty_subset(key=key)
 
-    def _compute_run_in_progress_check_subset(
+    async def _compute_run_in_progress_check_subset(
         self, key: AssetCheckKey
     ) -> EntitySubset[AssetCheckKey]:
         from dagster._core.storage.asset_check_execution_record import (
             AssetCheckExecutionResolvedStatus,
         )
 
-        return self.compute_subset_with_status(key, AssetCheckExecutionResolvedStatus.IN_PROGRESS)
+        return await self.compute_subset_with_status(
+            key, AssetCheckExecutionResolvedStatus.IN_PROGRESS
+        )
 
-    def _compute_execution_failed_check_subset(
+    async def _compute_execution_failed_check_subset(
         self, key: AssetCheckKey
     ) -> EntitySubset[AssetCheckKey]:
         from dagster._core.storage.asset_check_execution_record import (
             AssetCheckExecutionResolvedStatus,
         )
 
-        return self.compute_subset_with_status(
+        return await self.compute_subset_with_status(
             key, AssetCheckExecutionResolvedStatus.EXECUTION_FAILED
         )
 
-    def _compute_missing_check_subset(self, key: AssetCheckKey) -> EntitySubset[AssetCheckKey]:
-        return self.compute_subset_with_status(key, None)
+    async def _compute_missing_check_subset(
+        self, key: AssetCheckKey
+    ) -> EntitySubset[AssetCheckKey]:
+        return await self.compute_subset_with_status(key, None)
 
-    def _compute_run_in_progress_asset_subset(self, key: AssetKey) -> EntitySubset[AssetKey]:
+    async def _compute_run_in_progress_asset_subset(self, key: AssetKey) -> EntitySubset[AssetKey]:
+        from dagster._core.storage.partition_status_cache import AssetStatusCacheValue
+
+        partitions_def = self._get_partitions_def(key)
+        if partitions_def:
+            cache_value = await AssetStatusCacheValue.gen(self, (key, partitions_def))
+            return (
+                cache_value.get_in_progress_subset(self, key, partitions_def)
+                if cache_value
+                else self.get_empty_subset(key=key)
+            )
         value = self._queryer.get_in_progress_asset_subset(asset_key=key).value
         return EntitySubset(self, key=key, value=_ValidatedEntitySubsetValue(value))
 
-    def _compute_backfill_in_progress_asset_subset(self, key: AssetKey) -> EntitySubset[AssetKey]:
+    async def _compute_backfill_in_progress_asset_subset(
+        self, key: AssetKey
+    ) -> EntitySubset[AssetKey]:
         value = (
             self._queryer.get_active_backfill_in_progress_asset_graph_subset()
             .get_asset_subset(asset_key=key, asset_graph=self.asset_graph)
@@ -409,26 +423,47 @@ def _compute_backfill_in_progress_asset_subset(self, key: AssetKey) -> EntitySub
         )
         return EntitySubset(self, key=key, value=_ValidatedEntitySubsetValue(value))
 
-    def _compute_execution_failed_asset_subset(self, key: AssetKey) -> EntitySubset[AssetKey]:
+    async def _compute_execution_failed_asset_subset(self, key: AssetKey) -> EntitySubset[AssetKey]:
+        from dagster._core.storage.partition_status_cache import AssetStatusCacheValue
+
+        partitions_def = self._get_partitions_def(key)
+        if partitions_def:
+            cache_value = await AssetStatusCacheValue.gen(self, (key, partitions_def))
+            return (
+                cache_value.get_failed_subset(self, key, partitions_def)
+                if cache_value
+                else self.get_empty_subset(key=key)
+            )
         value = self._queryer.get_failed_asset_subset(asset_key=key).value
         return EntitySubset(self, key=key, value=_ValidatedEntitySubsetValue(value))
 
-    def _compute_missing_asset_subset(
+    async def _compute_missing_asset_subset(
         self, key: AssetKey, from_subset: EntitySubset
     ) -> EntitySubset[AssetKey]:
         """Returns a subset which is the subset of the input subset that has never been materialized
         (if it is a materializable asset) or observered (if it is an observable asset).
         """
+        from dagster._core.storage.partition_status_cache import AssetStatusCacheValue
+
         # TODO: this logic should be simplified once we have a unified way of detecting both
         # materializations and observations through the parittion status cache. at that point, the
         # definition will slightly change to search for materializations and observations regardless
         # of the materializability of the asset
         if self.asset_graph.get(key).is_materializable:
             # cheap call which takes advantage of the partition status cache
-            materialized_subset = self._queryer.get_materialized_asset_subset(asset_key=key)
-            materialized_subset = EntitySubset(
-                self, key=key, value=_ValidatedEntitySubsetValue(materialized_subset.value)
-            )
+            partitions_def = self._get_partitions_def(key)
+            if partitions_def:
+                cache_value = await AssetStatusCacheValue.gen(self, (key, partitions_def))
+                materialized_subset = (
+                    cache_value.get_materialized_subset(self, key, partitions_def)
+                    if cache_value
+                    else self.get_empty_subset(key=key)
+                )
+            else:
+                value = self._queryer.get_materialized_asset_subset(asset_key=key).value
+                materialized_subset = EntitySubset(
+                    self, key=key, value=_ValidatedEntitySubsetValue(value)
+                )
             return from_subset.compute_difference(materialized_subset)
         else:
             # more expensive call
@@ -441,34 +476,35 @@ def _compute_missing_asset_subset(
                 key=key, asset_partitions=missing_asset_partitions
             )
 
-    @cached_method
-    def compute_run_in_progress_subset(self, *, key: EntityKey) -> EntitySubset:
-        return _dispatch(
+    async def compute_run_in_progress_subset(self, *, key: EntityKey) -> EntitySubset:
+        return await _dispatch(
             key=key,
             check_method=self._compute_run_in_progress_check_subset,
             asset_method=self._compute_run_in_progress_asset_subset,
         )
 
-    @cached_method
-    def compute_backfill_in_progress_subset(self, *, key: EntityKey) -> EntitySubset:
-        return _dispatch(
+    async def compute_backfill_in_progress_subset(self, *, key: EntityKey) -> EntitySubset:
+        async def get_empty_subset(key: EntityKey) -> EntitySubset:
+            return self.get_empty_subset(key=key)
+
+        return await _dispatch(
             key=key,
             # asset checks cannot currently be backfilled
-            check_method=lambda k: self.get_empty_subset(key=k),
+            check_method=get_empty_subset,
             asset_method=self._compute_backfill_in_progress_asset_subset,
         )
 
-    @cached_method
-    def compute_execution_failed_subset(self, *, key: EntityKey) -> EntitySubset:
-        return _dispatch(
+    async def compute_execution_failed_subset(self, *, key: EntityKey) -> EntitySubset:
+        return await _dispatch(
             key=key,
             check_method=self._compute_execution_failed_check_subset,
             asset_method=self._compute_execution_failed_asset_subset,
         )
 
-    @cached_method
-    def compute_missing_subset(self, *, key: EntityKey, from_subset: EntitySubset) -> EntitySubset:
-        return _dispatch(
+    async def compute_missing_subset(
+        self, *, key: EntityKey, from_subset: EntitySubset
+    ) -> EntitySubset:
+        return await _dispatch(
             key=key,
             check_method=self._compute_missing_check_subset,
             asset_method=functools.partial(
@@ -476,7 +512,7 @@ def compute_missing_subset(self, *, key: EntityKey, from_subset: EntitySubset) -
             ),
         )
 
-    def _compute_updated_since_cursor_subset(
+    async def _compute_updated_since_cursor_subset(
         self, key: AssetKey, cursor: Optional[int]
     ) -> EntitySubset[AssetKey]:
         value = self._queryer.get_asset_subset_updated_after_cursor(
@@ -484,14 +520,14 @@ def _compute_updated_since_cursor_subset(
         ).value
         return EntitySubset(self, key=key, value=_ValidatedEntitySubsetValue(value))
 
-    def _compute_updated_since_time_subset(
+    async def _compute_updated_since_time_subset(
         self, key: AssetCheckKey, time: datetime
     ) -> EntitySubset[AssetCheckKey]:
         from dagster._core.events import DagsterEventType
         from dagster._core.storage.event_log.base import AssetCheckSummaryRecord
 
         # intentionally left unimplemented for AssetKey, as this is a less performant query
-        summary = AssetCheckSummaryRecord.blocking_get(self, key)
+        summary = await AssetCheckSummaryRecord.gen(self, key)
         record = summary.last_check_execution_record if summary else None
         if (
             record is None
@@ -503,11 +539,10 @@ def _compute_updated_since_time_subset(
         else:
             return self.get_full_subset(key=key)
 
-    @cached_method
-    def compute_updated_since_temporal_context_subset(
+    async def compute_updated_since_temporal_context_subset(
         self, *, key: EntityKey, temporal_context: TemporalContext
     ) -> EntitySubset:
-        return _dispatch(
+        return await _dispatch(
             key=key,
             check_method=functools.partial(
                 self._compute_updated_since_time_subset, time=temporal_context.effective_dt
@@ -592,14 +627,14 @@ def _build_multi_partition_subset(
 O_Dispatch = TypeVar("O_Dispatch")
 
 
-def _dispatch(
+async def _dispatch(
     *,
     key: EntityKey,
-    check_method: Callable[[AssetCheckKey], O_Dispatch],
-    asset_method: Callable[[AssetKey], O_Dispatch],
+    check_method: Callable[[AssetCheckKey], Awaitable[O_Dispatch]],
+    asset_method: Callable[[AssetKey], Awaitable[O_Dispatch]],
 ) -> O_Dispatch:
     """Applies a method for either a check or an asset."""
     if isinstance(key, AssetCheckKey):
-        return check_method(key)
+        return await check_method(key)
     else:
-        return asset_method(key)
+        return await asset_method(key)
diff --git a/python_modules/dagster/dagster/_core/asset_graph_view/serializable_entity_subset.py b/python_modules/dagster/dagster/_core/asset_graph_view/serializable_entity_subset.py
index a43c0f426aa4a..965d91e52ee6f 100644
--- a/python_modules/dagster/dagster/_core/asset_graph_view/serializable_entity_subset.py
+++ b/python_modules/dagster/dagster/_core/asset_graph_view/serializable_entity_subset.py
@@ -1,4 +1,3 @@
-from dataclasses import dataclass, replace
 from typing import Generic, Optional, Union
 
 import dagster._check as check
@@ -10,12 +9,13 @@
     PartitionsSubset,
 )
 from dagster._core.definitions.time_window_partitions import BaseTimeWindowPartitionsSubset
-from dagster._serdes.serdes import DataclassSerializer, whitelist_for_serdes
+from dagster._record import record, replace
+from dagster._serdes.serdes import NamedTupleSerializer, whitelist_for_serdes
 
 EntitySubsetValue = Union[bool, PartitionsSubset]
 
 
-class EntitySubsetSerializer(DataclassSerializer):
+class EntitySubsetSerializer(NamedTupleSerializer):
     """Ensures that the inner PartitionsSubset is converted to a serializable form if necessary."""
 
     def get_storage_name(self) -> str:
@@ -33,7 +33,7 @@ def before_pack(self, value: "SerializableEntitySubset") -> "SerializableEntityS
     storage_field_names={"key": "asset_key"},
     old_storage_names={"AssetSubset"},
 )
-@dataclass(frozen=True)
+@record(checked=False)
 class SerializableEntitySubset(Generic[T_EntityKey]):
     """Represents a serializable subset of a given EntityKey."""
 
diff --git a/python_modules/dagster/dagster/_core/definitions/base_asset_graph.py b/python_modules/dagster/dagster/_core/definitions/base_asset_graph.py
index dbd003c0ee0d5..4155283909406 100644
--- a/python_modules/dagster/dagster/_core/definitions/base_asset_graph.py
+++ b/python_modules/dagster/dagster/_core/definitions/base_asset_graph.py
@@ -301,16 +301,12 @@ def toposorted_asset_keys(self) -> Sequence[AssetKey]:
         ]
 
     @cached_property
-    def toposorted_entity_keys(self) -> Sequence[EntityKey]:
-        """Return topologically sorted entity keys in graph. Keys with the same topological level are
+    def toposorted_entity_keys_by_level(self) -> Sequence[Sequence[EntityKey]]:
+        """Return topologically sorted levels for entity keys in graph. Keys with the same topological level are
         sorted alphabetically to provide stability.
         """
         sort_key = lambda e: (e, None) if isinstance(e, AssetKey) else (e.asset_key, e.name)
-        return [
-            item
-            for items_in_level in toposort(self.entity_dep_graph["upstream"], sort_key=sort_key)
-            for item in sorted(items_in_level, key=sort_key)
-        ]
+        return toposort(self.entity_dep_graph["upstream"], sort_key=sort_key)
 
     @cached_property
     def toposorted_asset_keys_by_level(self) -> Sequence[AbstractSet[AssetKey]]:
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition.py
index a7168b7a0f603..241e0bed0790c 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition.py
@@ -25,7 +25,7 @@
     get_serializable_candidate_subset,
 )
 from dagster._core.definitions.partition import AllPartitionsSubset
-from dagster._core.definitions.time_window_partitions import BaseTimeWindowPartitionsSubset
+from dagster._core.definitions.time_window_partitions import TimeWindowPartitionsSubset
 from dagster._record import copy, record
 from dagster._serdes.serdes import is_whitelisted_for_serdes_object
 from dagster._time import get_current_timestamp
@@ -753,7 +753,7 @@ def node_cursor(self) -> Optional[AutomationConditionNodeCursor]:
             extra_state=self._extra_state,
         )
 
-    @cached_property
+    @property
     def serializable_evaluation(self) -> AutomationConditionEvaluation:
         return AutomationConditionEvaluation(
             condition_snapshot=self.condition.get_node_snapshot(self.condition_unique_id),
@@ -826,7 +826,7 @@ def _compute_subset_value_str(subset: SerializableEntitySubset) -> str:
         return str(subset.value)
     elif isinstance(subset.value, AllPartitionsSubset):
         return AllPartitionsSubset.__name__
-    elif isinstance(subset.value, BaseTimeWindowPartitionsSubset):
+    elif isinstance(subset.value, TimeWindowPartitionsSubset):
         return str(
             [
                 (tw.start.timestamp(), tw.end.timestamp())
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition_evaluator.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition_evaluator.py
index 1f71c9dd4dd7a..4c5e096d467ca 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition_evaluator.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_condition_evaluator.py
@@ -1,3 +1,4 @@
+import asyncio
 import datetime
 import logging
 from collections import defaultdict
@@ -102,19 +103,22 @@ def prefetch(self) -> None:
         self.logger.info("Done prefetching asset records.")
 
     def evaluate(self) -> Tuple[Sequence[AutomationResult], Sequence[EntitySubset[EntityKey]]]:
+        return asyncio.run(self.async_evaluate())
+
+    async def async_evaluate(
+        self,
+    ) -> Tuple[Sequence[AutomationResult], Sequence[EntitySubset[EntityKey]]]:
         self.prefetch()
         num_conditions = len(self.entity_keys)
         num_evaluated = 0
-        for entity_key in self.asset_graph.toposorted_entity_keys:
-            if entity_key not in self.entity_keys:
-                continue
 
+        async def _evaluate_entity_async(entity_key: EntityKey) -> int:
             self.logger.debug(
                 f"Evaluating {entity_key.to_user_string()} ({num_evaluated+1}/{num_conditions})"
             )
 
             try:
-                self.evaluate_entity(entity_key)
+                await self.evaluate_entity(entity_key)
             except Exception as e:
                 raise Exception(
                     f"Error while evaluating conditions for {entity_key.to_user_string()}"
@@ -132,15 +136,24 @@ def evaluate(self) -> Tuple[Sequence[AutomationResult], Sequence[EntitySubset[En
                 f"requested ({requested_str}) "
                 f"({format(result.end_timestamp - result.start_timestamp, '.3f')} seconds)"
             )
-            num_evaluated += 1
+            return 1
+
+        for topo_level in self.asset_graph.toposorted_entity_keys_by_level:
+            coroutines = [
+                _evaluate_entity_async(entity_key)
+                for entity_key in topo_level
+                if entity_key in self.entity_keys
+            ]
+            gathered = await asyncio.gather(*coroutines)
+            num_evaluated += sum(gathered)
+
         return list(self.current_results_by_key.values()), [
             v for v in self.request_subsets_by_key.values() if not v.is_empty
         ]
 
-    def evaluate_entity(self, key: EntityKey) -> None:
+    async def evaluate_entity(self, key: EntityKey) -> None:
         # evaluate the condition of this asset
-        context = AutomationContext.create(key=key, evaluator=self)
-        result = context.condition.evaluate(context)
+        result = await AutomationContext.create(key=key, evaluator=self).evaluate_async()
 
         # update dictionaries to keep track of this result
         self.current_results_by_key[key] = result
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_context.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_context.py
index 6998e7d4a8259..5feb99137240f 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_context.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/automation_context.py
@@ -1,4 +1,5 @@
 import datetime
+import inspect
 import logging
 from dataclasses import dataclass
 from typing import TYPE_CHECKING, Generic, Mapping, Optional, Type, TypeVar
@@ -9,6 +10,7 @@
 from dagster._core.definitions.asset_key import AssetCheckKey, AssetKey, EntityKey, T_EntityKey
 from dagster._core.definitions.declarative_automation.automation_condition import (
     AutomationCondition,
+    AutomationResult,
 )
 from dagster._core.definitions.declarative_automation.legacy.legacy_context import (
     LegacyRuleEvaluationContext,
@@ -115,6 +117,11 @@ def for_child_condition(
             _root_log=self._root_log,
         )
 
+    async def evaluate_async(self) -> AutomationResult[T_EntityKey]:
+        if inspect.iscoroutinefunction(self.condition.evaluate):
+            return await self.condition.evaluate(self)
+        return self.condition.evaluate(self)
+
     @property
     def log(self) -> logging.Logger:
         """The logger for the current condition evaluation."""
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/operands.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/operands.py
index 3f5c3157936e1..0861c27fc37b9 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/operands.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/operands.py
@@ -60,8 +60,8 @@ class MissingAutomationCondition(SubsetAutomationCondition):
     def name(self) -> str:
         return "missing"
 
-    def compute_subset(self, context: AutomationContext) -> EntitySubset:
-        return context.asset_graph_view.compute_missing_subset(
+    async def compute_subset(self, context: AutomationContext) -> EntitySubset:
+        return await context.asset_graph_view.compute_missing_subset(
             key=context.key, from_subset=context.candidate_subset
         )
 
@@ -73,8 +73,8 @@ class RunInProgressAutomationCondition(SubsetAutomationCondition):
     def name(self) -> str:
         return "execution_in_progress"
 
-    def compute_subset(self, context: AutomationContext) -> EntitySubset:
-        return context.asset_graph_view.compute_run_in_progress_subset(key=context.key)
+    async def compute_subset(self, context: AutomationContext) -> EntitySubset:
+        return await context.asset_graph_view.compute_run_in_progress_subset(key=context.key)
 
 
 @whitelist_for_serdes
@@ -84,8 +84,8 @@ class BackfillInProgressAutomationCondition(SubsetAutomationCondition):
     def name(self) -> str:
         return "backfill_in_progress"
 
-    def compute_subset(self, context: AutomationContext) -> EntitySubset:
-        return context.asset_graph_view.compute_backfill_in_progress_subset(key=context.key)
+    async def compute_subset(self, context: AutomationContext) -> EntitySubset:
+        return await context.asset_graph_view.compute_backfill_in_progress_subset(key=context.key)
 
 
 @whitelist_for_serdes(storage_name="FailedAutomationCondition")
@@ -95,8 +95,8 @@ class ExecutionFailedAutomationCondition(SubsetAutomationCondition):
     def name(self) -> str:
         return "execution_failed"
 
-    def compute_subset(self, context: AutomationContext) -> EntitySubset:
-        return context.asset_graph_view.compute_execution_failed_subset(key=context.key)
+    async def compute_subset(self, context: AutomationContext) -> EntitySubset:
+        return await context.asset_graph_view.compute_execution_failed_subset(key=context.key)
 
 
 @whitelist_for_serdes
@@ -147,11 +147,11 @@ class NewlyUpdatedCondition(SubsetAutomationCondition):
     def name(self) -> str:
         return "newly_updated"
 
-    def compute_subset(self, context: AutomationContext) -> EntitySubset:
+    async def compute_subset(self, context: AutomationContext) -> EntitySubset:
         # if it's the first time evaluating, just return the empty subset
         if context.previous_temporal_context is None:
             return context.get_empty_subset()
-        return context.asset_graph_view.compute_updated_since_temporal_context_subset(
+        return await context.asset_graph_view.compute_updated_since_temporal_context_subset(
             key=context.key, temporal_context=context.previous_temporal_context
         )
 
@@ -240,7 +240,7 @@ class CheckResultCondition(SubsetAutomationCondition[AssetCheckKey]):
     def name(self) -> str:
         return "check_passed" if self.passed else "check_failed"
 
-    def compute_subset(
+    async def compute_subset(
         self, context: AutomationContext[AssetCheckKey]
     ) -> EntitySubset[AssetCheckKey]:
         from dagster._core.storage.asset_check_execution_record import (
@@ -252,6 +252,6 @@ def compute_subset(
             if self.passed
             else AssetCheckExecutionResolvedStatus.FAILED
         )
-        return context.asset_graph_view.compute_subset_with_status(
+        return await context.asset_graph_view.compute_subset_with_status(
             key=context.key, status=target_status
         )
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/subset_automation_condition.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/subset_automation_condition.py
index a94d4138d3893..a66ed1281ea20 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/subset_automation_condition.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operands/subset_automation_condition.py
@@ -1,3 +1,4 @@
+import inspect
 from abc import abstractmethod
 
 from dagster._core.asset_graph_view.entity_subset import EntitySubset
@@ -23,10 +24,14 @@ def compute_subset(
         self, context: AutomationContext[T_EntityKey]
     ) -> EntitySubset[T_EntityKey]: ...
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         # don't compute anything if there are no candidates
         if context.candidate_subset.is_empty:
             true_subset = context.get_empty_subset()
+        elif inspect.iscoroutinefunction(self.compute_subset):
+            true_subset = await self.compute_subset(context)
         else:
             true_subset = self.compute_subset(context)
 
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/any_downstream_conditions_operator.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/any_downstream_conditions_operator.py
index 30cd79f1c1fbf..978a170ff21e0 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/any_downstream_conditions_operator.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/any_downstream_conditions_operator.py
@@ -33,14 +33,13 @@ def children(self) -> Sequence[AutomationCondition]:
     def requires_cursor(self) -> bool:
         return False
 
-    def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
-        child_result = self.operand.evaluate(
-            context.for_child_condition(
-                child_condition=self.operand,
-                child_index=0,
-                candidate_subset=context.candidate_subset,
-            )
-        )
+    async def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
+        child_result = await context.for_child_condition(
+            child_condition=self.operand,
+            child_index=0,
+            candidate_subset=context.candidate_subset,
+        ).evaluate_async()
+
         return AutomationResult(
             context=context, true_subset=child_result.true_subset, child_results=[child_result]
         )
@@ -82,7 +81,7 @@ def _get_validated_downstream_conditions(
             if not condition.has_rule_condition
         }
 
-    def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
+    async def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
         ignored_conditions = self._get_ignored_conditions(context)
         downstream_conditions = self._get_validated_downstream_conditions(
             context.asset_graph.get_downstream_automation_conditions(asset_key=context.key)
@@ -95,15 +94,13 @@ def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[Ass
         ):
             if downstream_condition in ignored_conditions:
                 continue
-            child_condition = DownstreamConditionWrapperCondition(
-                downstream_keys=list(sorted(asset_keys)), operand=downstream_condition
-            )
-            child_context = context.for_child_condition(
-                child_condition=child_condition,
+            child_result = await context.for_child_condition(
+                child_condition=DownstreamConditionWrapperCondition(
+                    downstream_keys=list(sorted(asset_keys)), operand=downstream_condition
+                ),
                 child_index=i,
                 candidate_subset=context.candidate_subset,
-            )
-            child_result = child_condition.evaluate(child_context)
+            ).evaluate_async()
 
             child_results.append(child_result)
             true_subset = true_subset.compute_union(child_result.true_subset)
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/boolean_operators.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/boolean_operators.py
index 23cf97fe84e20..564767f611a2b 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/boolean_operators.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/boolean_operators.py
@@ -1,3 +1,4 @@
+import asyncio
 from typing import List, Sequence
 
 import dagster._check as check
@@ -35,14 +36,15 @@ def children(self) -> Sequence[AutomationCondition[T_EntityKey]]:
     def requires_cursor(self) -> bool:
         return False
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         child_results: List[AutomationResult] = []
         true_subset = context.candidate_subset
         for i, child in enumerate(self.children):
-            child_context = context.for_child_condition(
+            child_result = await context.for_child_condition(
                 child_condition=child, child_index=i, candidate_subset=true_subset
-            )
-            child_result = child.evaluate(child_context)
+            ).evaluate_async()
             child_results.append(child_result)
             true_subset = true_subset.compute_intersection(child_result.true_subset)
         return AutomationResult(context, true_subset, child_results=child_results)
@@ -83,15 +85,20 @@ def children(self) -> Sequence[AutomationCondition[T_EntityKey]]:
     def requires_cursor(self) -> bool:
         return False
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
-        child_results: List[AutomationResult] = []
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         true_subset = context.get_empty_subset()
-        for i, child in enumerate(self.children):
-            child_context = context.for_child_condition(
+
+        coroutines = [
+            context.for_child_condition(
                 child_condition=child, child_index=i, candidate_subset=context.candidate_subset
-            )
-            child_result = child.evaluate(child_context)
-            child_results.append(child_result)
+            ).evaluate_async()
+            for i, child in enumerate(self.children)
+        ]
+
+        child_results = await asyncio.gather(*coroutines)
+        for child_result in child_results:
             true_subset = true_subset.compute_union(child_result.true_subset)
 
         return AutomationResult(context, true_subset, child_results=child_results)
@@ -116,11 +123,12 @@ def name(self) -> str:
     def children(self) -> Sequence[AutomationCondition[T_EntityKey]]:
         return [self.operand]
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
-        child_context = context.for_child_condition(
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
+        child_result = await context.for_child_condition(
             child_condition=self.operand, child_index=0, candidate_subset=context.candidate_subset
-        )
-        child_result = self.operand.evaluate(child_context)
+        ).evaluate_async()
         true_subset = context.candidate_subset.compute_difference(child_result.true_subset)
 
         return AutomationResult(context, true_subset, child_results=[child_result])
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/check_operators.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/check_operators.py
index 0f069c5f22bd0..fbf5cc5bc5784 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/check_operators.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/check_operators.py
@@ -1,3 +1,4 @@
+import asyncio
 from abc import abstractmethod
 from typing import AbstractSet
 
@@ -54,22 +55,22 @@ class AnyChecksCondition(ChecksAutomationCondition):
     def base_name(self) -> str:
         return "ANY_CHECKS_MATCH"
 
-    def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
-        check_results = []
+    async def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
         true_subset = context.get_empty_subset()
 
-        for i, check_key in enumerate(
-            sorted(self._get_check_keys(context.key, context.asset_graph))
-        ):
-            check_condition = EntityMatchesCondition(key=check_key, operand=self.operand)
-            check_result = check_condition.evaluate(
-                context.for_child_condition(
-                    child_condition=check_condition,
-                    child_index=i,
-                    candidate_subset=context.candidate_subset,
-                )
+        coroutines = [
+            context.for_child_condition(
+                child_condition=EntityMatchesCondition(key=check_key, operand=self.operand),
+                child_index=i,
+                candidate_subset=context.candidate_subset,
+            ).evaluate_async()
+            for i, check_key in enumerate(
+                sorted(self._get_check_keys(context.key, context.asset_graph))
             )
-            check_results.append(check_result)
+        ]
+
+        check_results = await asyncio.gather(*coroutines)
+        for check_result in check_results:
             true_subset = true_subset.compute_union(check_result.true_subset)
 
         true_subset = context.candidate_subset.compute_intersection(true_subset)
@@ -83,21 +84,18 @@ class AllChecksCondition(ChecksAutomationCondition):
     def base_name(self) -> str:
         return "ALL_CHECKS_MATCH"
 
-    def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
+    async def evaluate(self, context: AutomationContext[AssetKey]) -> AutomationResult[AssetKey]:
         check_results = []
         true_subset = context.candidate_subset
 
         for i, check_key in enumerate(
             sorted(self._get_check_keys(context.key, context.asset_graph))
         ):
-            check_condition = EntityMatchesCondition(key=check_key, operand=self.operand)
-            check_result = check_condition.evaluate(
-                context.for_child_condition(
-                    child_condition=check_condition,
-                    child_index=i,
-                    candidate_subset=context.candidate_subset,
-                )
-            )
+            check_result = await context.for_child_condition(
+                child_condition=EntityMatchesCondition(key=check_key, operand=self.operand),
+                child_index=i,
+                candidate_subset=context.candidate_subset,
+            ).evaluate_async()
             check_results.append(check_result)
             true_subset = true_subset.compute_intersection(check_result.true_subset)
 
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/dep_operators.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/dep_operators.py
index 6bdb684fdab5c..d217f6e765ef3 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/dep_operators.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/dep_operators.py
@@ -30,7 +30,9 @@ class EntityMatchesCondition(
     def name(self) -> str:
         return self.key.to_user_string()
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         # if the key we're mapping to is a child of the key we're mapping from and is not
         # self-dependent, use the downstream mapping function, otherwise use upstream
         if (
@@ -48,7 +50,7 @@ def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[
             child_condition=self.operand, child_index=0, candidate_subset=to_candidate_subset
         )
 
-        to_result = self.operand.evaluate(to_context)
+        to_result = await to_context.evaluate_async()
 
         true_subset = to_result.true_subset.compute_mapped_subset(
             context.key, direction=directions[1]
@@ -126,19 +128,18 @@ class AnyDepsCondition(DepsAutomationCondition[T_EntityKey]):
     def base_name(self) -> str:
         return "ANY_DEPS_MATCH"
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         dep_results = []
         true_subset = context.get_empty_subset()
 
         for i, dep_key in enumerate(sorted(self._get_dep_keys(context.key, context.asset_graph))):
-            dep_condition = EntityMatchesCondition(key=dep_key, operand=self.operand)
-            dep_result = dep_condition.evaluate(
-                context.for_child_condition(
-                    child_condition=dep_condition,
-                    child_index=i,
-                    candidate_subset=context.candidate_subset,
-                )
-            )
+            dep_result = await context.for_child_condition(
+                child_condition=EntityMatchesCondition(key=dep_key, operand=self.operand),
+                child_index=i,
+                candidate_subset=context.candidate_subset,
+            ).evaluate_async()
             dep_results.append(dep_result)
             true_subset = true_subset.compute_union(dep_result.true_subset)
 
@@ -152,19 +153,18 @@ class AllDepsCondition(DepsAutomationCondition[T_EntityKey]):
     def base_name(self) -> str:
         return "ALL_DEPS_MATCH"
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         dep_results = []
         true_subset = context.candidate_subset
 
         for i, dep_key in enumerate(sorted(self._get_dep_keys(context.key, context.asset_graph))):
-            dep_condition = EntityMatchesCondition(key=dep_key, operand=self.operand)
-            dep_result = dep_condition.evaluate(
-                context.for_child_condition(
-                    child_condition=dep_condition,
-                    child_index=i,
-                    candidate_subset=context.candidate_subset,
-                )
-            )
+            dep_result = await context.for_child_condition(
+                child_condition=EntityMatchesCondition(key=dep_key, operand=self.operand),
+                child_index=i,
+                candidate_subset=context.candidate_subset,
+            ).evaluate_async()
             dep_results.append(dep_result)
             true_subset = true_subset.compute_intersection(dep_result.true_subset)
 
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/newly_true_operator.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/newly_true_operator.py
index 32f7be9cccf38..1f359cf5f5a32 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/newly_true_operator.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/newly_true_operator.py
@@ -37,15 +37,14 @@ def _get_previous_child_true_subset(
             return None
         return context.asset_graph_view.get_subset_from_serializable_subset(true_subset)
 
-    def evaluate(self, context: AutomationContext) -> AutomationResult:
+    async def evaluate(self, context: AutomationContext) -> AutomationResult:
         # evaluate child condition
-        child_context = context.for_child_condition(
+        child_result = await context.for_child_condition(
             self.operand,
             child_index=0,
             # must evaluate child condition over the entire subset to avoid missing state transitions
             candidate_subset=context.asset_graph_view.get_full_subset(key=context.key),
-        )
-        child_result = self.operand.evaluate(child_context)
+        ).evaluate_async()
 
         # get the set of asset partitions of the child which newly became true
         newly_true_child_subset = child_result.true_subset.compute_difference(
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/since_operator.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/since_operator.py
index de869baaad5ca..9bde13745a2d2 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/since_operator.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/operators/since_operator.py
@@ -1,3 +1,4 @@
+import asyncio
 from typing import Sequence
 
 from dagster._core.definitions.asset_key import T_EntityKey
@@ -25,21 +26,23 @@ def name(self) -> str:
     def children(self) -> Sequence[AutomationCondition[T_EntityKey]]:
         return [self.trigger_condition, self.reset_condition]
 
-    def evaluate(self, context: AutomationContext[T_EntityKey]) -> AutomationResult[T_EntityKey]:
+    async def evaluate(
+        self, context: AutomationContext[T_EntityKey]
+    ) -> AutomationResult[T_EntityKey]:
         # must evaluate child condition over the entire subset to avoid missing state transitions
         child_candidate_subset = context.asset_graph_view.get_full_subset(key=context.key)
 
-        # compute result for trigger condition
-        trigger_context = context.for_child_condition(
-            self.trigger_condition, child_index=0, candidate_subset=child_candidate_subset
+        # compute result for trigger and reset conditions
+        trigger_result, reset_result = await asyncio.gather(
+            *[
+                context.for_child_condition(
+                    self.trigger_condition, child_index=0, candidate_subset=child_candidate_subset
+                ).evaluate_async(),
+                context.for_child_condition(
+                    self.reset_condition, child_index=1, candidate_subset=child_candidate_subset
+                ).evaluate_async(),
+            ]
         )
-        trigger_result = self.trigger_condition.evaluate(trigger_context)
-
-        # compute result for reset condition
-        reset_context = context.for_child_condition(
-            self.reset_condition, child_index=1, candidate_subset=child_candidate_subset
-        )
-        reset_result = self.reset_condition.evaluate(reset_context)
 
         # take the previous subset that this was true for
         true_subset = context.previous_true_subset or context.get_empty_subset()
diff --git a/python_modules/dagster/dagster/_core/definitions/declarative_automation/serialized_objects.py b/python_modules/dagster/dagster/_core/definitions/declarative_automation/serialized_objects.py
index 4e896ee2e95f7..3b01e7d82e8a9 100644
--- a/python_modules/dagster/dagster/_core/definitions/declarative_automation/serialized_objects.py
+++ b/python_modules/dagster/dagster/_core/definitions/declarative_automation/serialized_objects.py
@@ -88,7 +88,7 @@ def frozen_metadata(self) -> FrozenSet[Tuple[str, MetadataValue]]:
 
 
 @whitelist_for_serdes(storage_name="AssetConditionEvaluation")
-@dataclass
+@record
 class AutomationConditionEvaluation(Generic[T_EntityKey]):
     """Serializable representation of the results of evaluating a node in the evaluation tree."""
 
diff --git a/python_modules/dagster/dagster/_core/loader.py b/python_modules/dagster/dagster/_core/loader.py
index e0de5e20159fe..9853d3bb4dedc 100644
--- a/python_modules/dagster/dagster/_core/loader.py
+++ b/python_modules/dagster/dagster/_core/loader.py
@@ -58,6 +58,10 @@ def instance(self) -> "DagsterInstance":
     def loaders(self) -> Dict[Type, Tuple[DataLoader, BlockingDataLoader]]:
         raise NotImplementedError()
 
+    @staticmethod
+    def ephemeral(instance: "DagsterInstance") -> "LoadingContext":
+        return EphemeralLoadingContext(instance)
+
     def get_loaders_for(
         self, ttype: Type["InstanceLoadableBy"]
     ) -> Tuple[DataLoader, BlockingDataLoader]:
@@ -65,8 +69,8 @@ def get_loaders_for(
             if not issubclass(ttype, InstanceLoadableBy):
                 check.failed(f"{ttype} is not Loadable")
 
-            batch_load_fn = partial(ttype._batch_load, instance=self.instance)  # noqa
-            blocking_batch_load_fn = partial(ttype._blocking_batch_load, instance=self.instance)  # noqa
+            batch_load_fn = partial(ttype._batch_load, context=self)  # noqa
+            blocking_batch_load_fn = partial(ttype._blocking_batch_load, context=self)  # noqa
 
             self.loaders[ttype] = (
                 DataLoader(batch_load_fn=batch_load_fn),
@@ -80,6 +84,22 @@ def clear_loaders(self) -> None:
             del self.loaders[ttype]
 
 
+class EphemeralLoadingContext(LoadingContext):
+    """Loading context that can be constructed for short-lived method resolution."""
+
+    def __init__(self, instance: "DagsterInstance"):
+        self._instance = instance
+        self._loaders = {}
+
+    @property
+    def instance(self) -> "DagsterInstance":
+        return self._instance
+
+    @property
+    def loaders(self) -> Dict[Type, Tuple[DataLoader, BlockingDataLoader]]:
+        return self._loaders
+
+
 # Expected there may be other "Loadable" base classes based on what is needed to load.
 
 
@@ -88,14 +108,14 @@ class InstanceLoadableBy(ABC, Generic[TKey]):
 
     @classmethod
     async def _batch_load(
-        cls, keys: Iterable[TKey], instance: "DagsterInstance"
+        cls, keys: Iterable[TKey], context: "LoadingContext"
     ) -> Iterable[Optional[Self]]:
-        return cls._blocking_batch_load(keys, instance)
+        return cls._blocking_batch_load(keys, context)
 
     @classmethod
     @abstractmethod
     def _blocking_batch_load(
-        cls, keys: Iterable[TKey], instance: "DagsterInstance"
+        cls, keys: Iterable[TKey], context: "LoadingContext"
     ) -> Iterable[Optional[Self]]:
         # There is no good way of turning an async function into a sync one that
         # will allow us to execute that sync function inside of a broader async context.
diff --git a/python_modules/dagster/dagster/_core/storage/asset_check_execution_record.py b/python_modules/dagster/dagster/_core/storage/asset_check_execution_record.py
index 0424d2ddb1b56..a76887308e9b3 100644
--- a/python_modules/dagster/dagster/_core/storage/asset_check_execution_record.py
+++ b/python_modules/dagster/dagster/_core/storage/asset_check_execution_record.py
@@ -5,7 +5,6 @@
 from dagster._core.definitions.asset_check_evaluation import AssetCheckEvaluation
 from dagster._core.definitions.asset_key import AssetCheckKey
 from dagster._core.events.log import DagsterEventType, EventLogEntry
-from dagster._core.instance import DagsterInstance
 from dagster._core.loader import InstanceLoadableBy, LoadingContext
 from dagster._core.storage.dagster_run import DagsterRunStatus, RunRecord
 from dagster._serdes.serdes import deserialize_value
@@ -124,9 +123,9 @@ def from_db_row(cls, row, key: AssetCheckKey) -> "AssetCheckExecutionRecord":
 
     @classmethod
     def _blocking_batch_load(
-        cls, keys: Iterable[AssetCheckKey], instance: DagsterInstance
+        cls, keys: Iterable[AssetCheckKey], context: LoadingContext
     ) -> Iterable[Optional["AssetCheckExecutionRecord"]]:
-        records_by_key = instance.event_log_storage.get_latest_asset_check_execution_by_key(
+        records_by_key = context.instance.event_log_storage.get_latest_asset_check_execution_by_key(
             list(keys)
         )
         return [records_by_key.get(key) for key in keys]
@@ -156,7 +155,7 @@ def resolve_status(self, loading_context: LoadingContext) -> AssetCheckExecution
         else:
             check.failed(f"Unexpected status {self.status}")
 
-    def targets_latest_materialization(self, loading_context: LoadingContext) -> bool:
+    async def targets_latest_materialization(self, loading_context: LoadingContext) -> bool:
         from dagster._core.storage.event_log.base import AssetRecord
 
         resolved_status = self.resolve_status(loading_context)
@@ -164,7 +163,7 @@ def targets_latest_materialization(self, loading_context: LoadingContext) -> boo
             # all in-progress checks execute against the latest version
             return True
 
-        asset_record = AssetRecord.blocking_get(loading_context, self.key.asset_key)
+        asset_record = await AssetRecord.gen(loading_context, self.key.asset_key)
         latest_materialization = (
             asset_record.asset_entry.last_materialization_record if asset_record else None
         )
@@ -197,10 +196,10 @@ def targets_latest_materialization(self, loading_context: LoadingContext) -> boo
         ]:
             # the evaluation didn't complete, so we don't have target_materialization_data, so check if
             # the check's run executed after the materializations as a fallback
-            latest_materialization_run_record = RunRecord.blocking_get(
+            latest_materialization_run_record = await RunRecord.gen(
                 loading_context, latest_materialization_run_id
             )
-            check_run_record = RunRecord.blocking_get(loading_context, self.run_id)
+            check_run_record = await RunRecord.gen(loading_context, self.run_id)
             return bool(
                 latest_materialization_run_record
                 and check_run_record
diff --git a/python_modules/dagster/dagster/_core/storage/dagster_run.py b/python_modules/dagster/dagster/_core/storage/dagster_run.py
index e292e6c5fda2b..fdad1a6da185d 100644
--- a/python_modules/dagster/dagster/_core/storage/dagster_run.py
+++ b/python_modules/dagster/dagster/_core/storage/dagster_run.py
@@ -20,7 +20,7 @@
 from dagster._annotations import PublicAttr, experimental_param, public
 from dagster._core.definitions.asset_check_spec import AssetCheckKey
 from dagster._core.definitions.events import AssetKey
-from dagster._core.loader import InstanceLoadableBy
+from dagster._core.loader import InstanceLoadableBy, LoadingContext
 from dagster._core.origin import JobPythonOrigin
 from dagster._core.storage.tags import (
     ASSET_EVALUATION_ID_TAG,
@@ -41,7 +41,6 @@
 if TYPE_CHECKING:
     from dagster._core.definitions.schedule_definition import ScheduleDefinition
     from dagster._core.definitions.sensor_definition import SensorDefinition
-    from dagster._core.instance import DagsterInstance
     from dagster._core.remote_representation.external import RemoteSchedule, RemoteSensor
     from dagster._core.remote_representation.origin import RemoteJobOrigin
     from dagster._core.scheduler.instigation import InstigatorState
@@ -643,12 +642,12 @@ def __new__(
 
     @classmethod
     def _blocking_batch_load(
-        cls, keys: Iterable[str], instance: "DagsterInstance"
+        cls, keys: Iterable[str], context: LoadingContext
     ) -> Iterable[Optional["RunRecord"]]:
         result_map: Dict[str, Optional[RunRecord]] = {run_id: None for run_id in keys}
 
         # this should be replaced with an async DB call
-        records = instance.get_run_records(RunsFilter(run_ids=list(result_map.keys())))
+        records = context.instance.get_run_records(RunsFilter(run_ids=list(result_map.keys())))
 
         for record in records:
             result_map[record.dagster_run.run_id] = record
diff --git a/python_modules/dagster/dagster/_core/storage/event_log/base.py b/python_modules/dagster/dagster/_core/storage/event_log/base.py
index e8ccfeca8878e..d5f3e2be3b7cc 100644
--- a/python_modules/dagster/dagster/_core/storage/event_log/base.py
+++ b/python_modules/dagster/dagster/_core/storage/event_log/base.py
@@ -32,8 +32,8 @@
     build_run_stats_from_events,
     build_run_step_stats_from_events,
 )
-from dagster._core.instance import DagsterInstance, MayHaveInstanceWeakref, T_DagsterInstance
-from dagster._core.loader import InstanceLoadableBy
+from dagster._core.instance import MayHaveInstanceWeakref, T_DagsterInstance
+from dagster._core.loader import InstanceLoadableBy, LoadingContext
 from dagster._core.storage.asset_check_execution_record import AssetCheckExecutionRecord
 from dagster._core.storage.dagster_run import DagsterRunStatsSnapshot
 from dagster._core.storage.partition_status_cache import get_and_update_asset_status_cache_value
@@ -138,11 +138,11 @@ class AssetRecord(
 
     @classmethod
     def _blocking_batch_load(
-        cls, keys: Iterable[AssetKey], instance: DagsterInstance
+        cls, keys: Iterable[AssetKey], context: LoadingContext
     ) -> Iterable[Optional["AssetRecord"]]:
         records_by_key = {
             record.asset_entry.asset_key: record
-            for record in instance.get_asset_records(list(keys))
+            for record in context.instance.get_asset_records(list(keys))
         }
         return [records_by_key.get(key) for key in keys]
 
@@ -160,9 +160,11 @@ class AssetCheckSummaryRecord(
 ):
     @classmethod
     def _blocking_batch_load(
-        cls, keys: Iterable[AssetCheckKey], instance: DagsterInstance
+        cls, keys: Iterable[AssetCheckKey], context: LoadingContext
     ) -> Iterable[Optional["AssetCheckSummaryRecord"]]:
-        records_by_key = instance.event_log_storage.get_asset_check_summary_records(list(keys))
+        records_by_key = context.instance.event_log_storage.get_asset_check_summary_records(
+            list(keys)
+        )
         return [records_by_key[key] for key in keys]
 
 
@@ -653,11 +655,16 @@ def default_run_scoped_event_tailer_offset(self) -> int:
     def get_asset_status_cache_values(
         self,
         partitions_defs_by_key: Mapping[AssetKey, Optional[PartitionsDefinition]],
+        loading_context: LoadingContext,
     ) -> Sequence[Optional["AssetStatusCacheValue"]]:
         """Get the cached status information for each asset."""
         values = []
         for asset_key, partitions_def in partitions_defs_by_key.items():
             values.append(
-                get_and_update_asset_status_cache_value(self._instance, asset_key, partitions_def)
+                get_and_update_asset_status_cache_value(
+                    self._instance,
+                    asset_key,
+                    partitions_def,  # loading_context=loading_context
+                )
             )
         return values
diff --git a/python_modules/dagster/dagster/_core/storage/partition_status_cache.py b/python_modules/dagster/dagster/_core/storage/partition_status_cache.py
index 6626c6ce0ce24..6e653132cbd22 100644
--- a/python_modules/dagster/dagster/_core/storage/partition_status_cache.py
+++ b/python_modules/dagster/dagster/_core/storage/partition_status_cache.py
@@ -1,5 +1,5 @@
 from enum import Enum
-from typing import TYPE_CHECKING, List, NamedTuple, Optional, Sequence, Set, Tuple
+from typing import TYPE_CHECKING, Iterable, List, NamedTuple, Optional, Sequence, Set, Tuple
 
 from dagster import (
     AssetKey,
@@ -7,6 +7,8 @@
     DagsterRunStatus,
     _check as check,
 )
+from dagster._core.asset_graph_view.asset_graph_view import AssetGraphView
+from dagster._core.asset_graph_view.entity_subset import EntitySubset, _ValidatedEntitySubsetValue
 from dagster._core.definitions.multi_dimensional_partitions import (
     MultiPartitionKey,
     MultiPartitionsDefinition,
@@ -19,7 +21,7 @@
 )
 from dagster._core.definitions.time_window_partitions import TimeWindowPartitionsDefinition
 from dagster._core.instance import DynamicPartitionsStore
-from dagster._core.loader import LoadingContext
+from dagster._core.loader import InstanceLoadableBy, LoadingContext
 from dagster._core.storage.dagster_run import FINISHED_STATUSES, RunsFilter
 from dagster._core.storage.tags import (
     MULTIDIMENSIONAL_PARTITION_PREFIX,
@@ -79,7 +81,8 @@ class AssetStatusCacheValue(
             ("serialized_in_progress_partition_subset", Optional[str]),
             ("earliest_in_progress_materialization_event_id", Optional[int]),
         ],
-    )
+    ),
+    InstanceLoadableBy[Tuple[AssetKey, PartitionsDefinition]],
 ):
     """Set of asset fields that reflect partition materialization status. This is used to display
     global partition status in the asset view.
@@ -143,6 +146,12 @@ def from_db_string(db_string: str) -> Optional["AssetStatusCacheValue"]:
 
         return cached_data
 
+    @classmethod
+    def _blocking_batch_load(
+        cls, keys: Iterable[Tuple[AssetKey, PartitionsDefinition]], context: LoadingContext
+    ) -> Iterable[Optional["AssetStatusCacheValue"]]:
+        return context.instance.event_log_storage.get_asset_status_cache_values(dict(keys), context)
+
     def deserialize_materialized_partition_subsets(
         self, partitions_def: PartitionsDefinition
     ) -> PartitionsSubset:
@@ -167,6 +176,39 @@ def deserialize_in_progress_partition_subsets(
 
         return partitions_def.deserialize_subset(self.serialized_in_progress_partition_subset)
 
+    def get_materialized_subset(
+        self,
+        asset_graph_view: AssetGraphView,
+        asset_key: AssetKey,
+        partitions_def: PartitionsDefinition,
+    ) -> EntitySubset[AssetKey]:
+        value = self.deserialize_materialized_partition_subsets(partitions_def)
+        return EntitySubset(
+            asset_graph_view, key=asset_key, value=_ValidatedEntitySubsetValue(value)
+        )
+
+    def get_failed_subset(
+        self,
+        asset_graph_view: AssetGraphView,
+        asset_key: AssetKey,
+        partitions_def: PartitionsDefinition,
+    ) -> EntitySubset[AssetKey]:
+        value = self.deserialize_failed_partition_subsets(partitions_def)
+        return EntitySubset(
+            asset_graph_view, key=asset_key, value=_ValidatedEntitySubsetValue(value)
+        )
+
+    def get_in_progress_subset(
+        self,
+        asset_graph_view: AssetGraphView,
+        asset_key: AssetKey,
+        partitions_def: PartitionsDefinition,
+    ) -> EntitySubset[AssetKey]:
+        value = self.deserialize_in_progress_partition_subsets(partitions_def)
+        return EntitySubset(
+            asset_graph_view, key=asset_key, value=_ValidatedEntitySubsetValue(value)
+        )
+
 
 def get_materialized_multipartitions(
     instance: DagsterInstance, asset_key: AssetKey, partitions_def: MultiPartitionsDefinition
diff --git a/python_modules/dagster/dagster_tests/asset_defs_tests/test_asset_graph.py b/python_modules/dagster/dagster_tests/asset_defs_tests/test_asset_graph.py
index aabea0bdb5377..a5e663632a461 100644
--- a/python_modules/dagster/dagster_tests/asset_defs_tests/test_asset_graph.py
+++ b/python_modules/dagster/dagster_tests/asset_defs_tests/test_asset_graph.py
@@ -754,7 +754,11 @@ def Bc(): ...
     asset_graph = asset_graph_from_assets([A, B, Ac, Bc])
 
     assert asset_graph.toposorted_asset_keys == [A.key, B.key]
-    assert asset_graph.toposorted_entity_keys == [A.key, Ac.check_key, B.key, Bc.check_key]
+    assert asset_graph.toposorted_entity_keys_by_level == [
+        [A.key],
+        [Ac.check_key, B.key],
+        [Bc.check_key],
+    ]
 
 
 def test_required_assets_and_checks_by_key_asset_decorator(
diff --git a/python_modules/dagster/dagster_tests/definitions_tests/declarative_automation_tests/perf_tests/test_perf.py b/python_modules/dagster/dagster_tests/definitions_tests/declarative_automation_tests/perf_tests/test_perf.py
index 00214aef6fba8..c53acd69efcb0 100644
--- a/python_modules/dagster/dagster_tests/definitions_tests/declarative_automation_tests/perf_tests/test_perf.py
+++ b/python_modules/dagster/dagster_tests/definitions_tests/declarative_automation_tests/perf_tests/test_perf.py
@@ -1,40 +1,71 @@
+import datetime
 import time
 
 from dagster import (
     AutomationCondition,
+    DagsterInstance,
     DailyPartitionsDefinition,
+    Definitions,
     HourlyPartitionsDefinition,
     evaluate_automation_conditions,
 )
-from dagster._core.instance import DagsterInstance
+from dagster._core.definitions.automation_tick_evaluation_context import build_run_requests
+from dagster._time import get_current_datetime
 from dagster_test.toys.auto_materializing.large_graph import AssetLayerConfig, build_assets
 
 
-def test_eager_perf() -> None:
+def run_declarative_automation_perf_simulation(instance: DagsterInstance) -> None:
     hourly_partitions_def = HourlyPartitionsDefinition("2020-01-01-00:00")
     daily_partitions_def = DailyPartitionsDefinition("2020-01-01")
     assets = build_assets(
         id="perf_test",
         layer_configs=[
             AssetLayerConfig(100, 0, hourly_partitions_def),
-            AssetLayerConfig(200, 2, hourly_partitions_def),
-            AssetLayerConfig(200, 4, hourly_partitions_def),
-            AssetLayerConfig(200, 4, daily_partitions_def),
+            AssetLayerConfig(200, 2, hourly_partitions_def, n_checks_per_asset=1),
+            AssetLayerConfig(200, 4, hourly_partitions_def, n_checks_per_asset=2),
+            AssetLayerConfig(200, 4, daily_partitions_def, n_checks_per_asset=2),
             AssetLayerConfig(200, 2, daily_partitions_def),
             AssetLayerConfig(100, 2, daily_partitions_def),
         ],
-        auto_materialize_policy=AutomationCondition.eager().as_auto_materialize_policy(),
+        automation_condition=AutomationCondition.eager()
+        & AutomationCondition.all_deps_blocking_checks_passed(),
     )
+    defs = Definitions(assets=assets)
+    asset_job = defs.get_implicit_global_asset_job_def()
 
-    instance = DagsterInstance.ephemeral()
     cursor = None
     start = time.time()
-    for _ in range(2):
-        cursor = evaluate_automation_conditions(
-            defs=assets, instance=instance, cursor=cursor
-        ).cursor
+    evaluation_time = get_current_datetime() - datetime.timedelta(days=1)
+    for _ in range(3):
+        result = evaluate_automation_conditions(
+            defs=assets, instance=instance, cursor=cursor, evaluation_time=evaluation_time
+        )
+        cursor = result.cursor
         end = time.time()
         duration = end - start
         # all iterations should take less than 20 seconds on this graph
         assert duration < 20.0
+
+        # simulate the new events that would come from the requested runs
+        run_requests = build_run_requests(
+            entity_subsets=[r.true_subset for r in result.results],
+            asset_graph=defs.get_asset_graph(),
+            run_tags={},
+            emit_backfills=False,
+        )
+        for run_request in run_requests:
+            asset_job.get_subset(
+                asset_selection=set(run_request.asset_selection)
+                if run_request.asset_selection
+                else None,
+                asset_check_selection=set(run_request.asset_check_keys)
+                if run_request.asset_check_keys
+                else None,
+            ).execute_in_process(instance=instance, partition_key=run_request.partition_key)
+
+        evaluation_time += datetime.timedelta(hours=1)
         start = time.time()
+
+
+def test_eager_perf() -> None:
+    run_declarative_automation_perf_simulation(DagsterInstance.ephemeral())
diff --git a/python_modules/dagster/dagster_tests/storage_tests/utils/event_log_storage.py b/python_modules/dagster/dagster_tests/storage_tests/utils/event_log_storage.py
index 63902b4ccf886..08e5b7634e134 100644
--- a/python_modules/dagster/dagster_tests/storage_tests/utils/event_log_storage.py
+++ b/python_modules/dagster/dagster_tests/storage_tests/utils/event_log_storage.py
@@ -83,6 +83,7 @@
 from dagster._core.execution.plan.objects import StepFailureData, StepSuccessData
 from dagster._core.execution.stats import StepEventStatus
 from dagster._core.instance import RUNLESS_JOB_NAME, RUNLESS_RUN_ID
+from dagster._core.loader import LoadingContext
 from dagster._core.remote_representation.external_data import PartitionsSnap
 from dagster._core.remote_representation.origin import (
     InProcessCodeLocationOrigin,
@@ -6023,7 +6024,9 @@ def test_get_updated_asset_status_cache_values(
             AssetKey("static"): StaticPartitionsDefinition(["a", "b", "c"]),
         }
 
-        assert storage.get_asset_status_cache_values(partition_defs_by_key) == [
+        assert storage.get_asset_status_cache_values(
+            partition_defs_by_key, LoadingContext.ephemeral(instance)
+        ) == [
             None,
             None,
             None,
@@ -6038,6 +6041,10 @@ def test_get_updated_asset_status_cache_values(
         instance.report_runless_asset_event(AssetMaterialization(asset_key="static", partition="a"))
 
         partition_defs = list(partition_defs_by_key.values())
-        for i, value in enumerate(storage.get_asset_status_cache_values(partition_defs_by_key)):
+        for i, value in enumerate(
+            storage.get_asset_status_cache_values(
+                partition_defs_by_key, LoadingContext.ephemeral(instance)
+            )
+        ):
             assert value is not None
             assert len(value.deserialize_materialized_partition_subsets(partition_defs[i])) == 1
diff --git a/python_modules/dagster/dagster_tests/utils_tests/test_dataloader.py b/python_modules/dagster/dagster_tests/utils_tests/test_dataloader.py
index 8fe56fdfbe836..b1e24716cb746 100644
--- a/python_modules/dagster/dagster_tests/utils_tests/test_dataloader.py
+++ b/python_modules/dagster/dagster_tests/utils_tests/test_dataloader.py
@@ -144,9 +144,9 @@ class LoadableThing(
 ):
     @classmethod
     def _blocking_batch_load(
-        cls, keys: Iterable[str], instance: mock.MagicMock
+        cls, keys: Iterable[str], context: mock.MagicMock
     ) -> List["LoadableThing"]:
-        instance.query(keys)
+        context.query(keys)
         return [LoadableThing(key, random.randint(0, 100000)) for key in keys]