From e0aad96a5f7535f0de840ba2794bfb86a1af058f Mon Sep 17 00:00:00 2001 From: Andrew Sy Kim Date: Mon, 25 Mar 2024 05:28:35 +0000 Subject: [PATCH] Add more examples and references in ray-on-gke Signed-off-by: Andrew Sy Kim --- .../ray/rayservice-examples/README.md | 5 - .../images/ray-cluster-on-gke.png | Bin 92669 -> 0 bytes .../images/ray-head-resources.png | Bin 288648 -> 0 bytes .../images/ray-worker-resources.png | Bin 323046 -> 0 bytes .../raytrain-with-gcsfusecsi/README.md | 102 ------- .../kuberay-operator/values.yaml | 21 -- .../kuberaytf/user/main.tf | 55 ---- .../user/modules/kuberay/kuberay-values.yaml | 256 ------------------ .../kuberaytf/user/modules/kuberay/kuberay.tf | 23 -- .../user/modules/kuberay/variables.tf | 19 -- .../user/modules/kuberay/versions.tf | 33 --- .../user/modules/kubernetes/kubernetes.tf | 19 -- .../user/modules/kubernetes/variables.tf | 19 -- .../user/modules/kubernetes/versions.tf | 33 --- .../service_accounts/service_accounts.tf | 61 ----- .../modules/service_accounts/variables.tf | 42 --- .../user/modules/service_accounts/versions.tf | 28 -- .../kuberaytf/user/variables.tf | 43 --- .../kuberaytf/user/versions.tf | 36 --- applications/ray/tfvars_examples/README.md | 13 + .../raycluster-with-gcsfuse-volumes.tfvars | 41 +++ .../raycluster-with-grafana-dashboard.tfvars | 39 +++ .../raycluster-with-iap-auth.tfvars | 59 ++++ .../raycluster-with-workload-identity.tfvars | 42 +++ ...aycluster-with-existing-gke-cluster.tfvars | 39 +++ ...ple-raycluster-with-new-gke-cluster.tfvars | 39 +++ applications/ray/variables.tf | 8 +- ray-on-gke/README.md | 20 +- ray-on-gke/examples/tfvars | 1 + 29 files changed, 292 insertions(+), 804 deletions(-) delete mode 100644 applications/ray/rayservice-examples/README.md delete mode 100644 applications/ray/raytrain-examples/images/ray-cluster-on-gke.png delete mode 100644 applications/ray/raytrain-examples/images/ray-head-resources.png delete mode 100644 applications/ray/raytrain-examples/images/ray-worker-resources.png delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/README.md delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberay-operator/values.yaml delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/main.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay-values.yaml delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/variables.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/versions.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/kubernetes.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/variables.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/versions.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/service_accounts.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/variables.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/versions.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/variables.tf delete mode 100644 applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/versions.tf create mode 100644 applications/ray/tfvars_examples/README.md create mode 100644 applications/ray/tfvars_examples/raycluster-with-gcsfuse-volumes.tfvars create mode 100644 applications/ray/tfvars_examples/raycluster-with-grafana-dashboard.tfvars create mode 100644 applications/ray/tfvars_examples/raycluster-with-iap-auth.tfvars create mode 100644 applications/ray/tfvars_examples/raycluster-with-workload-identity.tfvars create mode 100644 applications/ray/tfvars_examples/simple-raycluster-with-existing-gke-cluster.tfvars create mode 100644 applications/ray/tfvars_examples/simple-raycluster-with-new-gke-cluster.tfvars create mode 120000 ray-on-gke/examples/tfvars diff --git a/applications/ray/rayservice-examples/README.md b/applications/ray/rayservice-examples/README.md deleted file mode 100644 index 3b3134d29..000000000 --- a/applications/ray/rayservice-examples/README.md +++ /dev/null @@ -1,5 +0,0 @@ -# Serve meta llama2 7b, llama2 70b quantized, falcon 7b-instruct or falcon 40b-instruct quantized models - -The examples have moved to [kubernetes-engine-samples](https://github.com/GoogleCloudPlatform/kubernetes-engine-samples/tree/main/ai-ml/gke-ray/rayserve) - -The documentation associated with the examples can be found on [Google Cloud Documentation](https://cloud.google.com/kubernetes-engine/docs/how-to/serve-llm-l4-ray) \ No newline at end of file diff --git a/applications/ray/raytrain-examples/images/ray-cluster-on-gke.png b/applications/ray/raytrain-examples/images/ray-cluster-on-gke.png deleted file mode 100644 index bfc78b12c3fa9b0c77ce0ee0b670bda17cd042be..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 92669 zcmeFZc{r5s|2I6wl#yhlQlT-FB_RnBLzE?1k|eT3k{DC=Z7kVC6j4o)B$PE~WF3_) zvSc@7U$gIn88dTVQ$C+>{qEoMyPrRvf1cyG9mmXEUDtJ<*ZF>*@8$Jgt|ATfwK#Vj z-UR}IICZqo8-YMO!5|RpJ?Kv0%pA-8lOWJ;6$cFsLmdqbK|>exZ3ibi5J)@n=`}Xf zE8h+zn;RjDKwu+v^aE{9!DAr@)O@&|LXN75$?SaaP~f`pJ;_Yds<7OLVjgO<5w9*3 ztnc97Z)b6$=c$7D>zT^sif;+_EBT42ruG(Z1nbej|bl 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Locate the service IP of the jupyter -``` -$ kubectl get service tensorflow-jupyter -NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE -tensorflow-jupyter LoadBalancer 10.8.14.182 35.188.214.7 80:31524/TCP 5m33s -``` -10. fetch the token for the login -``` -$ kubectl exec --tty -i tensorflow-0 -c tensorflow-container -n example -- jupyter server list -Currently running servers: -http://tensorflow-0:8888/?token= :: /home/jovyan -``` -11. Open a new notebook and import the notebook from the URL `https://raw.githubusercontent.com/GoogleCloudPlatform/ai-on-gke/main/ray-on-gke/example_notebooks/raytrain-stablediffusion.ipynb` ([notebook](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/example_notebooks/raytrain-stablediffusion.ipynb)) - -12. Follow the comments and execute the cells in the notebook to run a distributed training job and then inference on the tuned model -13. Port forward the ray service port to examine the ray dashboard for jobs progress details, The dashboard is reachable at localhost:8286 in the local browser -``` -kubectl port-forward -n example service/ray-cluster-kuberay-head-svc 8265:8265 -``` -14. During an ongoing traing, the pod resource usage of CPU, Memory, GPU, GPU Memory can be visualized with the GKE Cloud Console for the workloads -example ![Ray Head resources](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/raytrain-examples/images/ray-head-resources.png) and ![Ray Worker resources](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/ray-on-gke/raytrain-examples/images/ray-worker-resources.png) diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberay-operator/values.yaml b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberay-operator/values.yaml deleted file mode 100644 index ab79c2c57..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberay-operator/values.yaml +++ /dev/null @@ -1,21 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -# Environment variables -env: -# If not set or set to true, kuberay auto injects an init container waiting for ray GCS. -# If false, you will need to inject your own init container to ensure ray GCS is up before the ray workers start. -# NOTE: This has been explicitly the init container mounts all volumes from the ray spec. This would fail because GCS Fuse based volume mounts are not supported with init containers (https://github.com/GoogleCloudPlatform/gcs-fuse-csi-driver/issues/38). Improvements will de done to GCS CSI as part of k8s sidecar feature (https://github.com/kubernetes/kubernetes/pull/116429). - - name: ENABLE_INIT_CONTAINER_INJECTION - value: "false" diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/main.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/main.tf deleted file mode 100644 index b32c1df3b..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/main.tf +++ /dev/null @@ -1,55 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -data "google_client_config" "provider" {} - -provider "kubernetes" { - config_path = pathexpand("~/.kube/config") -} - -provider "kubectl" { - config_path = pathexpand("~/.kube/config") -} - -provider "helm" { - kubernetes { - config_path = pathexpand("~/.kube/config") - } -} - -# module "kubernetes" { -# source = "./modules/kubernetes" - -# namespace = var.namespace -# } - -module "service_accounts" { - source = "./modules/service_accounts" - - # depends_on = [module.kubernetes] - project_id = var.project_id - namespace = var.namespace - service_account = var.service_account - gcs_bucket = var.gcs_bucket -} - -module "kuberay" { - source = "./modules/kuberay" - - depends_on = [ - # module.kubernetes, - module.service_accounts - ] - namespace = var.namespace -} \ No newline at end of file diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay-values.yaml b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay-values.yaml deleted file mode 100644 index 9c6609694..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay-values.yaml +++ /dev/null @@ -1,256 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -# Default values for ray-cluster. -# This is a YAML-formatted file. -# Declare variables to be passed into your templates. - -# The KubeRay community welcomes PRs to expose additional configuration -# in this Helm chart. - -image: - # Replace this with your own image if needed. - repository: anyscale/ray - tag: 2.9.3-py310-cu118 - pullPolicy: IfNotPresent - -nameOverride: "kuberay" -fullnameOverride: "" - -imagePullSecrets: [] - # - name: an-existing-secret - -head: - groupName: headgroup - # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. - # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 - # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. - # enableInTreeAutoscaling: true - # autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler. - # The example configuration shown below below represents the DEFAULT values. - # autoscalerOptions: - # upscalingMode: Default - # idleTimeoutSeconds: 60 - # securityContext: {} - # env: [] - # envFrom: [] - # resources specifies optional resource request and limit overrides for the autoscaler container. - # For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required. - # resources: - # limits: - # cpu: "500m" - # memory: "512Mi" - # requests: - # cpu: "500m" - # memory: "512Mi" - labels: - cloud.google.com/gke-ray-node-type: head - created-by: ray-on-gke - serviceAccountName: my-ksa - rayStartParams: - dashboard-host: '0.0.0.0' - block: 'true' - # containerEnv specifies environment variables for the Ray container, - # Follows standard K8s container env schema. - containerEnv: - # - name: EXAMPLE_ENV - # value: "1" - - name: RAY_memory_monitor_refresh_ms - value: "0" - envFrom: [] - # - secretRef: - # name: my-env-secret - # ports optionally allows specifying ports for the Ray container. - # ports: [] - # resource requests and limits for the Ray head container. - # Modify as needed for your application. - # Note that the resources in this example are much too small for production; - # we don't recommend allocating less than 8G memory for a Ray pod in production. - # Ray pods should be sized to take up entire K8s nodes when possible. - # Always set CPU and memory limits for Ray pods. - # It is usually best to set requests equal to limits. - # See https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#resources - # for further guidance. - resources: - limits: - cpu: "5" - nvidia.com/gpu: "1" - # To avoid out-of-memory issues, never allocate less than 2G memory for the Ray head. - memory: "50G" - ephemeral-storage: 40Gi - requests: - cpu: "2" - nvidia.com/gpu: "1" - memory: "20G" - ephemeral-storage: 20Gi - annotations: - gke-gcsfuse/volumes: "true" - gke-gcsfuse/cpu-limit: "2" - gke-gcsfuse/memory-limit: 20Gi - gke-gcsfuse/ephemeral-storage-limit: 20Gi - nodeSelector: - iam.gke.io/gke-metadata-server-enabled: "true" - cloud.google.com/gke-accelerator: "nvidia-tesla-t4" - tolerations: [] - affinity: {} - # Ray container security context. - securityContext: {} - volumes: - - name: ray-logs - emptyDir: {} - - name: gcs-fuse-csi-ephemeral - csi: - driver: gcsfuse.csi.storage.gke.io - #readOnly: true - volumeAttributes: - bucketName: test-gcsfuse-1 - mountOptions: "implicit-dirs,uid=1000,gid=100" - # Ray writes logs to /tmp/ray/session_latests/logs - volumeMounts: - - mountPath: /tmp/ray - name: ray-logs - - name: gcs-fuse-csi-ephemeral - mountPath: /data -worker: - # If you want to disable the default workergroup - # uncomment the line below - # disabled: true - groupName: workergroup - replicas: 3 - type: worker - labels: - cloud.google.com/gke-ray-node-type: worker - created-by: ray-on-gke - serviceAccountName: my-ksa - rayStartParams: - block: 'true' - # containerEnv specifies environment variables for the Ray container, - # Follows standard K8s container env schema. - containerEnv: - # - name: EXAMPLE_ENV - # value: "1" - envFrom: [] - # - secretRef: - # name: my-env-secret - # ports optionally allows specifying ports for the Ray container. - # ports: [] - # resource requests and limits for the Ray head container. - # Modify as needed for your application. - # Note that the resources in this example are much too small for production; - # we don't recommend allocating less than 8G memory for a Ray pod in production. - # Ray pods should be sized to take up entire K8s nodes when possible. - # Always set CPU and memory limits for Ray pods. - # It is usually best to set requests equal to limits. - # See https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#resources - # for further guidance. - resources: - limits: - cpu: "4" - nvidia.com/gpu: "1" - memory: "40G" - ephemeral-storage: 40Gi - requests: - cpu: "2" - nvidia.com/gpu: "1" - memory: "20G" - ephemeral-storage: 20Gi - annotations: - gke-gcsfuse/volumes: "true" - gke-gcsfuse/cpu-limit: "2" - gke-gcsfuse/memory-limit: 20Gi - gke-gcsfuse/ephemeral-storage-limit: 20Gi - nodeSelector: - iam.gke.io/gke-metadata-server-enabled: "true" - cloud.google.com/gke-accelerator: "nvidia-tesla-t4" - tolerations: [] - affinity: {} - # Ray container security context. - securityContext: {} - volumes: - - name: ray-logs - emptyDir: {} - - name: gcs-fuse-csi-ephemeral - csi: - driver: gcsfuse.csi.storage.gke.io - #readOnly: true - volumeAttributes: - bucketName: test-gcsfuse-1 - mountOptions: "implicit-dirs,uid=1000,gid=100" - # Ray writes logs to /tmp/ray/session_latests/logs - volumeMounts: - - mountPath: /tmp/ray - name: ray-logs - - name: gcs-fuse-csi-ephemeral - mountPath: /data -# The map's key is used as the groupName. -# For example, key:small-group in the map below -# will be used as the groupName -additionalWorkerGroups: - smallGroup: - # Disabled by default - disabled: true - replicas: 1 - minReplicas: 1 - maxReplicas: 3 - type: worker - labels: {} - rayStartParams: - block: 'true' - initContainerImage: 'busybox:1.28' # Enable users to specify the image for init container. Users can pull the busybox image from their private repositories. - # Security context for the init container. - initContainerSecurityContext: {} - # containerEnv specifies environment variables for the Ray container, - # Follows standard K8s container env schema. - containerEnv: [] - # - name: EXAMPLE_ENV - # value: "1" - envFrom: [] - # - secretRef: - # name: my-env-secret - # ports optionally allows specifying ports for the Ray container. - # ports: [] - # resource requests and limits for the Ray head container. - # Modify as needed for your application. - # Note that the resources in this example are much too small for production; - # we don't recommend allocating less than 8G memory for a Ray pod in production. - # Ray pods should be sized to take up entire K8s nodes when possible. - # Always set CPU and memory limits for Ray pods. - # It is usually best to set requests equal to limits. - # See https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#resources - # for further guidance. - resources: - limits: - cpu: 1 - memory: "1G" - requests: - cpu: 1 - memory: "1G" - annotations: - key: value - nodeSelector: {} - tolerations: [] - affinity: {} - # Ray container security context. - securityContext: {} - volumes: - - name: log-volume - emptyDir: {} - # Ray writes logs to /tmp/ray/session_latests/logs - volumeMounts: - - mountPath: /tmp/ray - name: log-volume - sidecarContainers: [] - -service: - type: ClusterIP diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay.tf deleted file mode 100644 index dce76229d..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/kuberay.tf +++ /dev/null @@ -1,23 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -resource "helm_release" "ray-cluster" { - name = "ray-cluster" - repository = "https://ray-project.github.io/kuberay-helm/" - chart = "ray-cluster" - namespace = var.namespace - values = [ - file("${path.module}/kuberay-values.yaml") - ] -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/variables.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/variables.tf deleted file mode 100644 index 048860d76..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/variables.tf +++ /dev/null @@ -1,19 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -variable "namespace" { - type = string - description = "Kubernetes namespace where resources are deployed" - default = "example" -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/versions.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/versions.tf deleted file mode 100644 index 72eb5eeb0..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kuberay/versions.tf +++ /dev/null @@ -1,33 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -terraform { - required_providers { - helm = { - source = "hashicorp/helm" - version = "~> 2.8.0" - } - kubernetes = { - source = "hashicorp/kubernetes" - version = "2.18.1" - } - kubectl = { - source = "alekc/kubectl" - version = "2.0.1" - } - } - provider_meta "google" { - module_name = "blueprints/terraform/terraform-google-kubernetes-engine:kuberay/v0.1.0" - } -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/kubernetes.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/kubernetes.tf deleted file mode 100644 index c9681bfc5..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/kubernetes.tf +++ /dev/null @@ -1,19 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -resource "kubernetes_namespace" "ml" { - metadata { - name = var.namespace - } -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/variables.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/variables.tf deleted file mode 100644 index 93941f48e..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/variables.tf +++ /dev/null @@ -1,19 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -variable "namespace" { - type = string - description = "Kubernetes namespace where resources are deployed" - default = "ml-system" -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/versions.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/versions.tf deleted file mode 100644 index 72eb5eeb0..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/kubernetes/versions.tf +++ /dev/null @@ -1,33 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -terraform { - required_providers { - helm = { - source = "hashicorp/helm" - version = "~> 2.8.0" - } - kubernetes = { - source = "hashicorp/kubernetes" - version = "2.18.1" - } - kubectl = { - source = "alekc/kubectl" - version = "2.0.1" - } - } - provider_meta "google" { - module_name = "blueprints/terraform/terraform-google-kubernetes-engine:kuberay/v0.1.0" - } -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/service_accounts.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/service_accounts.tf deleted file mode 100644 index 44edf7504..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/service_accounts.tf +++ /dev/null @@ -1,61 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -resource "google_service_account" "sa" { - project = var.project_id - account_id = var.service_account - display_name = "GCP SA for Ray" -} - -resource "google_service_account_iam_binding" "workload-identity-user" { - service_account_id = google_service_account.sa.name - role = "roles/iam.workloadIdentityUser" - - members = [ - "serviceAccount:${var.project_id}.svc.id.goog[${var.namespace}/${var.k8s_service_account}]", - ] - depends_on = [google_service_account.sa] -} - -resource "google_storage_bucket_iam_binding" "gcs-bucket-iam" { - bucket = var.gcs_bucket - role = "roles/storage.objectAdmin" - members = [ - "serviceAccount:${google_service_account.sa.account_id}@${var.project_id}.iam.gserviceaccount.com", - ] -} - -resource "kubernetes_service_account" "ksa" { - metadata { - name = var.k8s_service_account - namespace = var.namespace - } - automount_service_account_token = true -} - -resource "kubernetes_annotations" "ray-sa-annotations" { - api_version = "v1" - kind = "ServiceAccount" - metadata { - name = var.k8s_service_account - namespace = var.namespace - } - annotations = { - "iam.gke.io/gcp-service-account" = "${google_service_account.sa.account_id}@${var.project_id}.iam.gserviceaccount.com" - } - depends_on = [ - kubernetes_service_account.ksa, - google_service_account.sa - ] -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/variables.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/variables.tf deleted file mode 100644 index d2580042d..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/variables.tf +++ /dev/null @@ -1,42 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -variable "project_id" { - type = string - description = "GCP project id" -} - -variable "namespace" { - type = string - description = "Kubernetes namespace where resources are deployed" - default = "example" -} - -variable "service_account" { - type = string - description = "Google Cloud IAM service account for authenticating with GCP services" - default = "my-gcp-sa" -} - -variable "k8s_service_account" { - type = string - description = "k8s service account" - default = "my-ksa" -} - -variable "gcs_bucket" { - type = string - description = "GCS Bucket name" - default = "test-gcsfuse-1" -} \ No newline at end of file diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/versions.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/versions.tf deleted file mode 100644 index 53d5c8e95..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/modules/service_accounts/versions.tf +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -terraform { - required_providers { - google = { - source = "hashicorp/google" - } - kubernetes = { - source = "hashicorp/kubernetes" - version = "2.18.1" - } - } - provider_meta "google" { - module_name = "blueprints/terraform/terraform-google-kubernetes-engine:kuberay/v0.1.0" - } -} diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/variables.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/variables.tf deleted file mode 100644 index ffab5dc80..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/variables.tf +++ /dev/null @@ -1,43 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -variable "project_id" { - type = string - description = "GCP project id" - default = "saikatroyc-stateful-joonix" -} - -variable "namespace" { - type = string - description = "Kubernetes namespace where resources are deployed" - default = "example" -} - -variable "service_account" { - type = string - description = "Google Cloud IAM service account for authenticating with GCP services" - default = "my-gcp-sa" -} - -variable "k8s_service_account" { - type = string - description = "k8s service account" - default = "my-ksa" -} - -variable "gcs_bucket" { - type = string - description = "GCS Bucket name" - default = "test-gcsfuse-1" -} \ No newline at end of file diff --git a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/versions.tf b/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/versions.tf deleted file mode 100644 index 2b93bd40f..000000000 --- a/applications/ray/raytrain-examples/raytrain-with-gcsfusecsi/kuberaytf/user/versions.tf +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright 2023 Google LLC -# -# Licensed 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. - -terraform { - required_providers { - google = { - source = "hashicorp/google" - } - helm = { - source = "hashicorp/helm" - version = "~> 2.8.0" - } - kubernetes = { - source = "hashicorp/kubernetes" - version = "2.18.1" - } - kubectl = { - source = "alekc/kubectl" - version = "2.0.1" - } - } - provider_meta "google" { - module_name = "blueprints/terraform/terraform-google-kubernetes-engine:kuberay/v0.1.0" - } -} diff --git a/applications/ray/tfvars_examples/README.md b/applications/ray/tfvars_examples/README.md new file mode 100644 index 000000000..5397adfa8 --- /dev/null +++ b/applications/ray/tfvars_examples/README.md @@ -0,0 +1,13 @@ +# Example terraform variables for Ray clusters + +This folder contains example terraform variable files to use with the [Ray on GKE terraform templates](/applications/ray/). + +To try one of the examples, edit the tfvars file and configure the mandatory variables. Then run the following commands: +``` +# from root of ai-on-gke +cd applications/ray +terraform init +terraform apply --var-file=tfvars_examples/ +``` + +See [Getting Started](/ray-on-gke/README.md#getting-started) for more details on using the examples in this repo. \ No newline at end of file diff --git a/applications/ray/tfvars_examples/raycluster-with-gcsfuse-volumes.tfvars b/applications/ray/tfvars_examples/raycluster-with-gcsfuse-volumes.tfvars new file mode 100644 index 000000000..218cba0d9 --- /dev/null +++ b/applications/ray/tfvars_examples/raycluster-with-gcsfuse-volumes.tfvars @@ -0,0 +1,41 @@ +# Copyright 2023 Google LLC +# +# Licensed 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. + + +##common variables +## Need to pull this variables from tf output from previous platform stage +project_id = "" + +## this is required for terraform to connect to GKE master and deploy workloads +create_cluster = false # this flag will create a new standard public gke cluster in default network +cluster_name = "" +cluster_location = "us-central1" + +####################################################### +#### APPLICATIONS +####################################################### + +## GKE environment variables +kubernetes_namespace = "ray" + +# Creates a google service account & k8s service account & configures workload identity with appropriate permissions. +# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account. +create_service_account = true +workload_identity_service_account = "ray-service-account" + +# Bucket name should be globally unique. +create_gcs_bucket = true +gcs_bucket = "" +create_ray_cluster = true +ray_cluster_name = "ray-cluster" diff --git a/applications/ray/tfvars_examples/raycluster-with-grafana-dashboard.tfvars b/applications/ray/tfvars_examples/raycluster-with-grafana-dashboard.tfvars new file mode 100644 index 000000000..b1df6f867 --- /dev/null +++ b/applications/ray/tfvars_examples/raycluster-with-grafana-dashboard.tfvars @@ -0,0 +1,39 @@ +# Copyright 2023 Google LLC +# +# Licensed 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. + + +##common variables +## Need to pull this variables from tf output from previous platform stage +project_id = "" + +## this is required for terraform to connect to GKE master and deploy workloads +create_cluster = false # this flag will create a new standard public gke cluster in default network +cluster_name = "" +cluster_location = "us-central1" + +####################################################### +#### APPLICATIONS +####################################################### + +## GKE environment variables +kubernetes_namespace = "ray" + +# Creates a google service account & k8s service account & configures workload identity with appropriate permissions. +# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account. +create_service_account = false + +# Bucket name should be globally unique. +create_gcs_bucket = true +gcs_bucket = "" +enable_grafana_on_ray_dashboard = true diff --git a/applications/ray/tfvars_examples/raycluster-with-iap-auth.tfvars b/applications/ray/tfvars_examples/raycluster-with-iap-auth.tfvars new file mode 100644 index 000000000..211bb106e --- /dev/null +++ b/applications/ray/tfvars_examples/raycluster-with-iap-auth.tfvars @@ -0,0 +1,59 @@ +# Copyright 2023 Google LLC +# +# Licensed 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. + + +##common variables +## Need to pull this variables from tf output from previous platform stage +project_id = "" + +## this is required for terraform to connect to GKE master and deploy workloads +create_cluster = false # this flag will create a new standard public gke cluster in default network +cluster_name = "" +cluster_location = "us-central1" + +####################################################### +#### APPLICATIONS +####################################################### + +## GKE environment variables +kubernetes_namespace = "ray" + +# Creates a google service account & k8s service account & configures workload identity with appropriate permissions. +# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account. +create_service_account = true +workload_identity_service_account = "ray-service-account" + +# Bucket name should be globally unique. +create_gcs_bucket = true +gcs_bucket = "" +create_ray_cluster = true +ray_cluster_name = "ray-cluster" +enable_grafana_on_ray_dashboard = false + +## IAP config - if you choose to disable IAP authenticated access for your endpoints, ignore everthing below this line. +create_brand = true + +## Ray Dashboard IAP Settings +ray_dashboard_add_auth = true # Set to true when using auth with IAP +ray_dashboard_support_email = "" +ray_dashboard_k8s_ingress_name = "ray-dashboard-ingress" +ray_dashboard_k8s_managed_cert_name = "ray-dashboard-managed-cert" +ray_dashboard_k8s_iap_secret_name = "ray-dashboard-iap-secret" +ray_dashboard_k8s_backend_config_name = "ray-dashboard-iap-config" +ray_dashboard_k8s_backend_service_port = 8265 + +ray_dashboard_domain = "" +ray_dashboard_client_id = "" +ray_dashboard_client_secret = "" +ray_dashboard_members_allowlist = "user:" diff --git a/applications/ray/tfvars_examples/raycluster-with-workload-identity.tfvars b/applications/ray/tfvars_examples/raycluster-with-workload-identity.tfvars new file mode 100644 index 000000000..9f6a5fbc0 --- /dev/null +++ b/applications/ray/tfvars_examples/raycluster-with-workload-identity.tfvars @@ -0,0 +1,42 @@ +# Copyright 2023 Google LLC +# +# Licensed 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. + + +##common variables +## Need to pull this variables from tf output from previous platform stage +project_id = "andrewsy-gke-dev" + +## this is required for terraform to connect to GKE master and deploy workloads +create_cluster = false # this flag will create a new standard public gke cluster in default network +cluster_name = "rag-demo-us-east4" +cluster_location = "us-east4" + +####################################################### +#### APPLICATIONS +####################################################### + +## GKE environment variables +kubernetes_namespace = "ray-kuberay11" + +# Creates a google service account & k8s service account & configures workload identity with appropriate permissions. +# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account. +create_service_account = true +workload_identity_service_account = "ray-service-account-dkfjadf" + +# Bucket name should be globally unique. +create_gcs_bucket = true +gcs_bucket = "" +create_ray_cluster = true +ray_cluster_name = "ray-cluster" +enable_grafana_on_ray_dashboard = false diff --git a/applications/ray/tfvars_examples/simple-raycluster-with-existing-gke-cluster.tfvars b/applications/ray/tfvars_examples/simple-raycluster-with-existing-gke-cluster.tfvars new file mode 100644 index 000000000..e5fd97a2f --- /dev/null +++ b/applications/ray/tfvars_examples/simple-raycluster-with-existing-gke-cluster.tfvars @@ -0,0 +1,39 @@ +# Copyright 2023 Google LLC +# +# Licensed 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. + + +##common variables +## Need to pull this variables from tf output from previous platform stage +project_id = "" + +## this is required for terraform to connect to GKE master and deploy workloads +create_cluster = false # this flag will create a new standard public gke cluster in default network +cluster_name = "" +cluster_location = "" + +####################################################### +#### APPLICATIONS +####################################################### + +## GKE environment variables +kubernetes_namespace = "ray" + +# Creates a google service account & k8s service account & configures workload identity with appropriate permissions. +# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account. +create_service_account = false + +# Bucket name should be globally unique. +create_gcs_bucket = true +gcs_bucket = "" +enable_grafana_on_ray_dashboard = false diff --git a/applications/ray/tfvars_examples/simple-raycluster-with-new-gke-cluster.tfvars b/applications/ray/tfvars_examples/simple-raycluster-with-new-gke-cluster.tfvars new file mode 100644 index 000000000..91b7e37e9 --- /dev/null +++ b/applications/ray/tfvars_examples/simple-raycluster-with-new-gke-cluster.tfvars @@ -0,0 +1,39 @@ +# Copyright 2023 Google LLC +# +# Licensed 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. + + +##common variables +## Need to pull this variables from tf output from previous platform stage +project_id = "" + +## this is required for terraform to connect to GKE master and deploy workloads +create_cluster = true # this flag will create a new standard public gke cluster in default network +cluster_name = "" +cluster_location = "" + +####################################################### +#### APPLICATIONS +####################################################### + +## GKE environment variables +kubernetes_namespace = "ray" + +# Creates a google service account & k8s service account & configures workload identity with appropriate permissions. +# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account. +create_service_account = false + +# Bucket name should be globally unique. +create_gcs_bucket = true +gcs_bucket = "" +enable_grafana_on_ray_dashboard = false diff --git a/applications/ray/variables.tf b/applications/ray/variables.tf index cca42b5dc..780e5f30d 100644 --- a/applications/ray/variables.tf +++ b/applications/ray/variables.tf @@ -55,7 +55,8 @@ variable "create_gcs_bucket" { } variable "gcs_bucket" { - type = string + type = string + description = "The GCS bucket to store data for the Ray cluster." } variable "create_service_account" { @@ -71,8 +72,9 @@ variable "workload_identity_service_account" { } variable "create_ray_cluster" { - type = bool - default = true + type = bool + default = true + description = "Create a Ray cluster" } variable "ray_cluster_name" { diff --git a/ray-on-gke/README.md b/ray-on-gke/README.md index 9acd3b081..bb4f12eba 100644 --- a/ray-on-gke/README.md +++ b/ray-on-gke/README.md @@ -5,14 +5,18 @@ Most examples use the [`applications/ray`](/applications/ray) terraform module t ## Getting Started -### Create a RayCluster on an existing cluster +It is highly recommended to use the [infrastructure](/infrastructure/) terraform module to create your GKE cluster. + +### Create a RayCluster on a GKE cluster Edit `templates/workloads.tfvars` with your environment specific variables and configurations. -The following variables are required: +The following variables require configuration: * project_id * cluster_name * cluster_location +If you need a new cluster, you can specify `create_cluster: true`. + Run the following commands to install KubeRay and deploy a Ray cluster onto your existing cluster. ``` cd templates/ @@ -20,8 +24,6 @@ terraform init terraform apply --var-file=workloads.tfvars ``` -**NOTE**: you can also create a new GKE cluster by specifying `create_cluster: true`. - Validate that the RayCluster is ready: ``` $ kubectl get raycluster @@ -29,6 +31,8 @@ NAME DESIRED WORKERS AVAILABLE WORKERS STATUS AGE ray-cluster-kuberay 1 1 ready 3m41s ``` +See [tfvars examples](./examples/tfvars/) to explore different configuration options for the Ray cluster using the [terraform templates](./templates). + ### Install Ray Ensure Ray is installed in your environment. See [Installing Ray](https://docs.ray.io/en/latest/ray-overview/installation.html) for more details. @@ -39,7 +43,7 @@ To submit a Ray job, first establish a connection to the Ray head. For this exam to connect to the Ray head via localhost. ```bash -$ kubectl -n ml port-forward service/ray-cluster-kuberay-head-svc 8265 & +$ kubectl -n ai-on-gke port-forward service/ray-cluster-kuberay-head-svc 8265 & ``` Submit a Ray job that prints resources available in your Ray cluster: @@ -79,7 +83,7 @@ To use the client, first establish a connection to the Ray head. For this exampl to connect to the Ray head Service via localhost. ```bash -$ kubectl -n ml port-forward service/ray-cluster-kuberay-head-svc 10001 & +$ kubectl -n ai-on-gke port-forward service/ray-cluster-kuberay-head-svc 10001 & ``` Next, define a Python script containing remote code you want to run on your Ray cluster. Similar to the previous example, @@ -113,10 +117,14 @@ See the following guides and tutorials for running Ray applications on GKE: * [Priority Scheduling with RayJob and Kueue](https://docs.ray.io/en/master/cluster/kubernetes/examples/rayjob-kueue-priority-scheduling.html) * [Gang Scheduling with RayJob and Kueue](https://docs.ray.io/en/master/cluster/kubernetes/examples/rayjob-kueue-gang-scheduling.html) * [RayTrain with GCSFuse CSI driver](./guides/raytrain-with-gcsfusecsi/) +* [Configuring KubeRay to use Google Cloud Storage Buckets in GKE](https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/gke-gcs-bucket.html) +* [Example Notebooks with Ray](./examples/notebooks/) +* [Example templates for Ray clusterse](./examples/tfvars/) ## Blogs & Best Practices * [Getting started with Ray on Google Kubernetes Engine](https://cloud.google.com/blog/products/containers-kubernetes/use-ray-on-kubernetes-with-kuberay) * [Why GKE for your Ray AI workloads?](https://cloud.google.com/blog/products/containers-kubernetes/the-benefits-of-using-gke-for-running-ray-ai-workloads) * [Advanced scheduling for AI/ML with Ray and Kueue](https://cloud.google.com/blog/products/containers-kubernetes/using-kuberay-and-kueue-to-orchestrate-ray-applications-in-gke) +* [How to secure Ray on Google Kubernetes Engine](https://cloud.google.com/blog/products/containers-kubernetes/securing-ray-to-run-on-google-kubernetes-engine) * [4 ways to reduce cold start latency on Google Kubernetes Engine](https://cloud.google.com/blog/products/containers-kubernetes/tips-and-tricks-to-reduce-cold-start-latency-on-gke) diff --git a/ray-on-gke/examples/tfvars b/ray-on-gke/examples/tfvars new file mode 120000 index 000000000..10a362169 --- /dev/null +++ b/ray-on-gke/examples/tfvars @@ -0,0 +1 @@ +../../applications/ray/tfvars_examples \ No newline at end of file