diff --git a/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/evaluate_alert.ts b/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/evaluate_alert.ts
index 00ccc220d85a7..d3fa983ff9e84 100644
--- a/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/evaluate_alert.ts
+++ b/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/evaluate_alert.ts
@@ -6,6 +6,7 @@
  */
 
 import { mapValues, first, last, isNaN } from 'lodash';
+import moment from 'moment';
 import { ElasticsearchClient } from 'kibana/server';
 import {
   isTooManyBucketsPreviewException,
@@ -121,9 +122,14 @@ const getMetric: (
   const intervalAsSeconds = getIntervalInSeconds(interval);
   const intervalAsMS = intervalAsSeconds * 1000;
 
-  const to = roundTimestamp(timeframe ? timeframe.end : Date.now(), timeUnit);
+  const to = moment(timeframe ? timeframe.end : Date.now())
+    .add(1, timeUnit)
+    .startOf(timeUnit)
+    .valueOf();
+
   // We need enough data for 5 buckets worth of data. We also need
   // to convert the intervalAsSeconds to milliseconds.
+  // TODO: We only need to get 5 buckets for the rate query, so this logic should move there.
   const minimumFrom = to - intervalAsMS * MINIMUM_BUCKETS;
 
   const from = roundTimestamp(
@@ -225,29 +231,40 @@ const getValuesFromAggregations = (
     if (!buckets.length) return null; // No Data state
 
     if (aggType === Aggregators.COUNT) {
-      return buckets
-        .map((bucket) => ({
-          key: bucket.from_as_string,
-          value: bucket.doc_count,
-        }))
-        .filter(dropPartialBuckets(dropPartialBucketsOptions));
+      return buckets.map((bucket) => ({
+        key: bucket.from_as_string,
+        value: bucket.doc_count,
+      }));
     }
     if (aggType === Aggregators.P95 || aggType === Aggregators.P99) {
-      return buckets
-        .map((bucket) => {
-          const values = bucket.aggregatedValue?.values || [];
-          const firstValue = first(values);
-          if (!firstValue) return null;
-          return { key: bucket.from_as_string, value: firstValue.value };
-        })
-        .filter(dropPartialBuckets(dropPartialBucketsOptions));
+      return buckets.map((bucket) => {
+        const values = bucket.aggregatedValue?.values || [];
+        const firstValue = first(values);
+        if (!firstValue) return null;
+        return { key: bucket.from_as_string, value: firstValue.value };
+      });
     }
-    return buckets
-      .map((bucket) => ({
+
+    if (aggType === Aggregators.AVERAGE) {
+      return buckets.map((bucket) => ({
         key: bucket.key_as_string ?? bucket.from_as_string,
         value: bucket.aggregatedValue?.value ?? null,
-      }))
-      .filter(dropPartialBuckets(dropPartialBucketsOptions));
+      }));
+    }
+
+    if (aggType === Aggregators.RATE) {
+      return buckets
+        .map((bucket) => ({
+          key: bucket.key_as_string ?? bucket.from_as_string,
+          value: bucket.aggregatedValue?.value ?? null,
+        }))
+        .filter(dropPartialBuckets(dropPartialBucketsOptions));
+    }
+
+    return buckets.map((bucket) => ({
+      key: bucket.key_as_string ?? bucket.from_as_string,
+      value: bucket.aggregatedValue?.value ?? null,
+    }));
   } catch (e) {
     return NaN; // Error state
   }
diff --git a/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.ts b/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.ts
index abfbc7723317a..cde84b217be95 100644
--- a/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.ts
+++ b/x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.ts
@@ -4,15 +4,13 @@
  * 2.0; you may not use this file except in compliance with the Elastic License
  * 2.0.
  */
-import moment from 'moment';
+
 import { networkTraffic } from '../../../../../common/inventory_models/shared/metrics/snapshot/network_traffic';
 import { MetricExpressionParams, Aggregators } from '../types';
 import { getIntervalInSeconds } from '../../../../utils/get_interval_in_seconds';
-import { roundTimestamp } from '../../../../utils/round_timestamp';
 import { createPercentileAggregation } from './create_percentile_aggregation';
 import { calculateDateHistogramOffset } from '../../../metrics/lib/calculate_date_histogram_offset';
 
-const MINIMUM_BUCKETS = 5;
 const COMPOSITE_RESULTS_PER_PAGE = 100;
 
 const getParsedFilterQuery: (filterQuery: string | undefined) => Record<string, any> | null = (
@@ -38,20 +36,8 @@ export const getElasticsearchMetricQuery = (
   const interval = `${timeSize}${timeUnit}`;
   const intervalAsSeconds = getIntervalInSeconds(interval);
   const intervalAsMS = intervalAsSeconds * 1000;
-
-  const to = moment(timeframe ? timeframe.end : Date.now())
-    .add(1, timeUnit)
-    .startOf(timeUnit)
-    .valueOf();
-
-  // We need enough data for 5 buckets worth of data. We also need
-  // to convert the intervalAsSeconds to milliseconds.
-  const minimumFrom = to - intervalAsMS * MINIMUM_BUCKETS;
-
-  const from = roundTimestamp(
-    timeframe && timeframe.start <= minimumFrom ? timeframe.start : minimumFrom,
-    timeUnit
-  );
+  const to = timeframe.end;
+  const from = timeframe.start;
 
   const deliveryDelay = 60 * 1000; // INFO: This allows us to account for any delay ES has in indexing the most recent data.