config/recipes/autoscaling/elasticsearch.yaml

---
apiVersion: autoscaling.k8s.elastic.co/v1alpha1
kind: ElasticsearchAutoscaler
metadata:
  name: autoscaling-sample
spec:
  elasticsearchRef:
    name: elasticsearch-sample
  policies:
    - name: di
      roles: ["data", "ingest" , "transform"]
      ## Autoscaling deciders (https://www.elastic.co/guide/en/elasticsearch/reference/current/autoscaling-deciders.html) come with
      ## default settings. Uncomment the lines below to adjust the deciders settings.
      #deciders:
      ## 'proactive_storage' is only provided as an example, each role comes with specific individual autoscaling deciders.
      #  proactive_storage:
      #    forecast_window: 5m
      resources:
        nodeCount:
          min: 3
          max: 8
        cpu:
          min: 2
          max: 8
        memory:
          min: 2Gi
          max: 16Gi
        storage:
          min: 64Gi
          max: 512Gi
    - name: ml
      roles:
        - ml
      resources:
        nodeCount:
          min: 1
          max: 9
        cpu:
          min: 1
          max: 4
        memory:
          min: 2Gi
          max: 8Gi
        storage:
          min: 1Gi
          max: 1Gi

---
apiVersion: elasticsearch.k8s.elastic.co/v1
kind: Elasticsearch
metadata:
  name: elasticsearch-sample
spec:
  version: 8.17.0
  nodeSets:
    - name: master
      count: 3
      podTemplate:
        spec:
          containers:
            - name: elasticsearch
              # Specify both limits and requests to benefit from the desired nodes API / Elasticsearch resources aware management.
              resources:
                limits:
                  memory: 4Gi
                  cpu: 2
      config:
        node:
          roles: [ "master" ]
          store.allow_mmap: false
    - name: di
      config:
        node:
          roles: [ "data", "ingest", "transform" ]
          store.allow_mmap: false
    - name: ml
      config:
        node:
          roles: [ "ml" ]
          store.allow_mmap: false