afedulov commented on code in PR #711:
URL: 
https://github.com/apache/flink-kubernetes-operator/pull/711#discussion_r1403603955


##########
flink-autoscaler/src/main/java/org/apache/flink/autoscaler/ScalingTracking.java:
##########
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.autoscaler;
+
+import org.apache.flink.annotation.Experimental;
+import org.apache.flink.autoscaler.config.AutoScalerOptions;
+import org.apache.flink.autoscaler.topology.JobTopology;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.runtime.jobgraph.JobVertexID;
+
+import com.fasterxml.jackson.annotation.JsonIgnore;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+import java.time.Duration;
+import java.time.Instant;
+import java.util.Map;
+import java.util.Map.Entry;
+import java.util.Optional;
+import java.util.SortedMap;
+import java.util.TreeMap;
+import java.util.stream.Collectors;
+
+/** Stores rescaling related information for the job. */
+@Experimental
+@Data
+@NoArgsConstructor
+@Builder
+public class ScalingTracking {
+
+    /** Details related to recent rescaling operations. */
+    private final TreeMap<Instant, ScalingRecord> scalingRecords = new 
TreeMap<>();

Review Comment:
   I guess 
[this](https://github.com/apache/flink-kubernetes-operator/pull/711#issuecomment-1815381974)
 got buried in the notifications:
   ```
   @gyfora me and Max briefly discussed offline and came to the conclusion that 
starting with
    evaluating the maximum restart time capped by the RESTART_TIME setting is 
probably 
   good enough for the first step. It has the benefit of giving the most 
"conservative" 
   evaluation and we can add the moving average after some baseline testing. 
What do you think?
   ```



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