Create Layer Configs for runtimes

manifests/autotune/layers/container-config.json

@@ -0,0 +1,30 @@
+{
+  "apiVersion": "recommender.com/v1",
+  "kind": "KruizeLayer",
+  "metadata": {
+    "name": "container"
+  },
+  "layer_name": "container",
+  "layer_level": 0,
+  "details": "generic container tunables",
+  "layer_presence": {
+    "presence": "always"
+  },
+  "tunables": [
+    {
+      "name": "memoryRequest",
+      "value_type": "double",
+      "lower_bound": "512 Mi",
+      "upper_bound": "2048 Mi",
+      "step": 1
+    },
+    {
+      "name": "cpuRequest",
+      "value_type": "double",
+      "lower_bound": "1.0",
+      "upper_bound": "3.0",
+      "step": 0.01
+    }
+  ]
+}
+

manifests/autotune/layers/container-config.yaml

@@ -0,0 +1,22 @@
+apiVersion: "recommender.com/v1"
+kind: "KruizeLayer"
+metadata:
+  name: "container"
+layer_name: container
+layer_level: 0
+details: generic container tunables
+layer_presence:
+  # This layer is assumed to be available by default for all applications.
+  presence: always
+tunables:
+- name: memoryRequest
+  value_type: double
+  upper_bound: '2048 Mi'
+  lower_bound: '512 Mi'
+  step: 1
+
+- name: cpuRequest
+  value_type: double
+  upper_bound: '3.0'
+  lower_bound: '1.0'
+  step: 0.01

manifests/autotune/layers/hotspot-micrometer-config.json

@@ -0,0 +1,67 @@
+{
+  "apiVersion": "recommender.com/v1",
+  "kind": "KruizeLayer",
+  "metadata": {
+    "name": "hotspot"
+  },
+  "layer_name": "hotspot",
+  "layer_level": 1,
+  "details": "hotspot tunables",
+  "layer_presence": {
+    "queries": [
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\".+Eden.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\".+Tenured.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\".+Old.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"Eden.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"Tenured.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"Old.+\"}",
+        "key": "pod"
+      }
+    ]
+  },
+  "tunables": [
+    {
+      "name": "GCPolicy",
+      "description": "Garbage collection policy",
+      "value_type": "categorical",
+      "choices": [
+        "G1GC",
+        "ParallelGC",
+        "SerialGC",
+        "ShenandoahGC",
+        "ZGC"
+      ]
+    },
+    {
+      "name": "MaxRAMPercentage",
+      "description": "Maximum RAM percentage to allocate",
+      "value_type": "integer",
+      "lower_bound": "25",
+      "upper_bound": "90",
+      "step": 1
+    }
+  ]
+}
+

manifests/autotune/layers/hotspot-micrometer-config.yaml

@@ -0,0 +1,46 @@
+apiVersion: "recommender.com/v1"
+kind: "KruizeLayer"
+metadata:
+  name: "hotspot"
+layer_name: hotspot
+layer_level: 1
+details: hotspot tunables
+layer_presence:
+  queries:
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~".+Eden.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~".+Tenured.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~".+Old.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"Eden.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"Tenured.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"Old.+"}'
+    key: pod
+tunables:
+# Enable zGC if Java >=17
+- name: GCPolicy
+  description: 'Garbage collection policy'
+  value_type: categorical
+  choices:
+    - 'G1GC'
+    - 'ParallelGC'
+    - 'SerialGC'
+    - 'ShenandoahGC'
+    - 'ZGC'
+
+- name: MaxRAMPercentage
+  description: 'Maximum RAM percentage to allocate'
+  value_type: integer
+  lower_bound: '25'
+  upper_bound: '90'
+  step: 1
+

manifests/autotune/layers/layer-config.yaml_template

@@ -0,0 +1,32 @@
+apiVersion: "recommender.com/v1"
+kind: "AutotuneConfig"
+metadata:
+  name: "xyz"
+layer_name: xyz
+# layer_level 0 = container, 1 = runtime (eg: openj9, hotspot, nodejs)
+#             2 = framework (eg: quarkus, liberty, springboot), 3 = app
+layer_level: 2
+details: xyz tunables
+# layer_presence tells autotune how to detect this layer in a pod
+layer_presence:
+  # Uncomment one of the following
+  # This layer is assumed to be available by default for all applications.
+  #presence: always
+  # This layer is present if the following prometheus query returns non null
+  #queries:
+  #- datasource: 'prometheus'
+  #  query: jvm_memory_used_bytes{area="heap",id="Tenured Gen",}
+  #  key: pod
+  # This layer is present if the following pod label is present
+  #label:
+  #- name: app.kubernetes.io/layer
+  #  value: quarkus
+# This section describes the tunables associated with this layer and is an array
+tunables:
+- name: quarkus.thread-pool.core-threads
+  description: 'The core thread pool size. This number of threads will always be kept alive.'
+  # value_type: currently one of double or integer
+  value_type: integer
+  upper_bound: '10'
+  lower_bound: '1'
+  step: 1

manifests/autotune/layers/openj9-actuator-config.json

@@ -0,0 +1,62 @@
+{
+  "apiVersion": "recommender.com/v1",
+  "kind": "KruizeLayer",
+  "metadata": {
+    "name": "openj9"
+  },
+  "layer_name": "openj9",
+  "layer_level": 1,
+  "details": "openj9 tunables",
+  "layer_presence": {
+    "queries": [
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"nursery-.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"tenured-.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"tenured\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"balanced.+\"}",
+        "key": "pod"
+      },
+      {
+        "datasource": "prometheus",
+        "query": "jvm_memory_used_bytes{area=\"heap\",id=~\"JavaHeap\"}",
+        "key": "pod"
+      }
+    ]
+  },
+  "tunables": [
+    {
+      "name": "GCPolicy",
+      "description": "Garbage collection policy",
+      "value_type": "categorical",
+      "choices": [
+        "gencon",
+        "balanced",
+        "optavgpause",
+        "optthruput",
+        "metronome"
+      ]
+    },
+    {
+      "name": "MaxRAMPercentage",
+      "description": "Maximum RAM percentage to allocate",
+      "value_type": "integer",
+      "lower_bound": "25",
+      "upper_bound": "90",
+      "step": 1
+    }
+  ]
+}
+

manifests/autotune/layers/openj9-actuator-config.yaml

@@ -0,0 +1,43 @@
+apiVersion: "recommender.com/v1"
+kind: "KruizeLayer"
+metadata:
+  name: "openj9"
+layer_name: openj9
+layer_level: 1
+details: openj9 tunables
+layer_presence:
+  queries:
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"nursery-.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"tenured-.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"tenured"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"balanced.+"}'
+    key: pod
+  - datasource: 'prometheus'
+    query: 'jvm_memory_used_bytes{area="heap",id=~"JavaHeap"}'
+    key: pod
+
+tunables:
+- name: GCPolicy
+  description: 'Garbage collection policy'
+  value_type: categorical
+  choices:
+    - 'gencon'
+    - 'balanced'
+    - 'optavgpause'
+    - 'optthruput'
+    - 'metronome'
+
+- name: MaxRAMPercentage
+  description: 'Maximum RAM percentage to allocate'
+  value_type: integer
+  lower_bound: '25'
+  upper_bound: '90'
+  step: 1
+

manifests/autotune/layers/quarkus-micrometer-config.json

@@ -0,0 +1,29 @@
+{
+  "apiVersion": "recommender.com/v1",
+  "kind": "KruizeLayer",
+  "metadata": {
+    "name": "quarkus"
+  },
+  "layer_name": "quarkus",
+  "layer_level": 2,
+  "details": "quarkus tunables",
+  "layer_presence": {
+    "label": [
+      {
+        "name": "app.kubernetes.io/layer",
+        "value": "quarkus"
+      }
+    ]
+  },
+  "tunables": [
+    {
+      "name": "quarkus.thread-pool.core-threads",
+      "description": "The core thread pool size. This number of threads will always be kept alive.",
+      "value_type": "integer",
+      "lower_bound": "1",
+      "upper_bound": "10",
+      "step": 1
+    }
+  ]
+}
+

manifests/autotune/layers/quarkus-micrometer-config.yaml

@@ -0,0 +1,20 @@
+apiVersion: "recommender.com/v1"
+kind: "KruizeLayer"
+metadata:
+  name: "quarkus"
+layer_name: quarkus
+layer_level: 2
+details: quarkus tunables
+layer_presence:
+  label:
+  - name: app.kubernetes.io/layer
+    value: quarkus
+tunables:
+# upper_bound is set to 8 times of cpu.
+- name: quarkus.thread-pool.core-threads
+  description: 'The core thread pool size. This number of threads will always be kept alive.'
+  value_type: integer
+  upper_bound: '10'
+  lower_bound: '1'
+  step: 1
+