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cloudbuild.yaml
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cloudbuild.yaml
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# Copyright 2019 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.
# Pre-requisites to running with cloud build
# gcloud services enable \
# compute.googleapis.com \
# container.googleapis.com \
# cloudbuild.googleapis.com
timeout: 3600s
substitutions:
_NAME: broker
_REGION:
# Set this to your broker endpoint, if set to 'default', will use cannonical "broker.endpoints.PROJECT_ID.cloud.goog"
_TURN_REALM: default
steps:
###
# Detect type of Selkies cluster, public or private GKE.
###
- name: "gcr.io/cloud-builders/gcloud"
id: "selkies-gke-detect"
entrypoint: bash
args:
- -exc
- |
PRIVATE_NODES=$(gcloud -q container clusters describe ${_NAME}-${_REGION} --region ${_REGION} --format='value(privateClusterConfig.enablePrivateNodes)')
if [[ "${PRIVATE_NODES,,}" == true ]]; then
touch /workspace/PRIVATE_GKE
fi
###
# Deploy TURN infrastructure based on GKE cluster type.
###
- name: "gcr.io/cloud-builders/gcloud"
id: "deploy-turn"
dir: infra/turn
entrypoint: bash
args:
- -exc
- |
if [[ -e /workspace/PRIVATE_GKE ]]; then
# Deploy TURN to private GKE cluster.
echo "INFO: Deploying TURN to VMs and manifests to private GKE cluster"
# Set the TURN_REALM
export TURN_REALM=""
if [[ "${_TURN_REALM}" == "default" ]]; then
TURN_REALM="broker.endpoints.${PROJECT_ID}.cloud.goog"
else
TURN_REALM="${_TURN_REALM}"
fi
# Deploy TURN using Cloud Build
gcloud -q builds submit --config cloudbuild.private-gke.yaml --substitutions=_REGION=${_REGION},_TURN_REALM=$$TURN_REALM,_ACTION=apply
else
# Deploy TURN to public GKE cluster
echo "INFO: Deploying TURN to public GKE cluster"
# Get the current TURN shared secret, if any.
export TURN_SHARED_SECRET=""
if [[ -n "$(gcloud -q secrets list --filter=name~selkies-turn-shared-secret --format='value(name)')" ]]; then
TURN_SHARED_SECRET=$(gcloud -q secrets versions access latest --secret selkies-turn-shared-secret)
fi
if [[ -z "$${TURN_SHARED_SECRET}" ]]; then
# Generate new TURN shared secret
TURN_SHARED_SECRET=$(openssl rand -base64 15)
gcloud -q secrets create selkies-turn-shared-secret --replication-policy=automatic --data-file <(echo -n ${TURN_SHARED_SECRET?})
fi
# Set the TURN_REALM
export TURN_REALM=""
if [[ "${_TURN_REALM}" == "default" ]]; then
TURN_REALM="broker.endpoints.${PROJECT_ID}.cloud.goog"
else
TURN_REALM="${_TURN_REALM}"
fi
# Deploy TURN using Cloud Build
gcloud -q builds submit --config cloudbuild.public-gke.yaml --substitutions=_REGION=${_REGION},_TURN_REALM=$$TURN_REALM,_ACTION=apply
fi
###
# Build images
###
- name: "gcr.io/cloud-builders/gcloud"
id: "build-images"
dir: "images"
args:
- "builds"
- "submit"
waitFor: ["-"]
###
# Deploy autoscale gpu trigger job to ensure at least 1 node is active for the next hour
###
- name: "gcr.io/${PROJECT_ID}/broker-installer"
id: ensure-gpu-node
entrypoint: bash
args:
- -exc
- |
gcloud container clusters get-credentials $${CLOUDSDK_CONTAINER_CLUSTER} --region=$${CLOUDSDK_COMPUTE_REGION}
kubectl apply -f manifests/node/gpu-node-pool-autoscaler-job.yaml
kubectl -n kube-system wait pod \
-l job-name=gpu-node-pool-autoscaler \
--for=condition=Ready \
--timeout=900s
env:
- "PROJECT_ID=${PROJECT_ID}"
- "CLOUDSDK_CORE_PROJECT=${PROJECT_ID}"
- "CLOUDSDK_COMPUTE_REGION=${_REGION}"
- "CLOUDSDK_CONTAINER_CLUSTER=${_NAME}-${_REGION}"
waitFor: ["-"]
###
# Deploy manifests
###
- name: "gcr.io/cloud-builders/gcloud"
id: "deploy-manifests"
dir: "manifests"
args:
- "builds"
- "submit"
- "--substitutions=_NAME=${_NAME},_REGION=${_REGION}"
waitFor: ["build-images"]
###
# Wait for deployment
###
- name: "gcr.io/${PROJECT_ID}/broker-installer"
id: wait-for-deployment
entrypoint: "bash"
args:
- "-exc"
- |
gcloud container clusters get-credentials $${CLOUDSDK_CONTAINER_CLUSTER} --region=$${CLOUDSDK_COMPUTE_REGION}
kubectl -n kube-system wait pod \
-l k8s-app=nvidia-driver-installer \
--for=condition=Ready \
--timeout=600s
kubectl -n kube-system wait pod \
-l app=gpu-node-init \
--for=condition=Ready \
--timeout=600s
kubectl -n kube-system wait pod \
-l app=gpu-sharing \
--for=condition=Ready \
--timeout=600s
kubectl describe node -l \
cloud.google.com/gke-accelerator-initialized=true \
| grep nvidia.com/gpu
env:
- "PROJECT_ID=${PROJECT_ID}"
- "CLOUDSDK_CORE_PROJECT=${PROJECT_ID}"
- "CLOUDSDK_COMPUTE_REGION=${_REGION}"
- "CLOUDSDK_CONTAINER_CLUSTER=${_NAME}-${_REGION}"
waitFor:
- ensure-gpu-node
- deploy-manifests