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Make helm charts and scripts compatible to deploy FfDL on any namespace #110

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fplk merged 12 commits into from
Aug 6, 2018
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Make helm charts and scripts compatible to deploy FfDL on any namespace #110

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5f86089
make helm charts and scripts compatible to deploy FfDL on any namespace
Tomcli Jul 2, 2018
65d4811
Merge branch 'master' into namespace-patch
Tomcli Jul 5, 2018
2830c22
allow users to export all the enviornment variables in a txt file
Tomcli Jul 12, 2018
ba8df7f
Update readme with new notice
Tomcli Jul 12, 2018
d71ca31
Fix typo
Tomcli Jul 12, 2018
877d5c8
Merge branch 'master' into namespace-patch
Tomcli Jul 16, 2018
ec37410
Merge branch 'master' into namespace-patch
Tomcli Jul 23, 2018
6f0afb7
Merge branch 'master' into namespace-patch
Tomcli Jul 26, 2018
9d02746
Merge branch 'master' into namespace-patch
Tomcli Aug 1, 2018
5fbb554
Update static volumes config v2 namespace parameter
Tomcli Aug 2, 2018
50a8e4e
Merge branch 'master' into namespace-patch
Tomcli Aug 3, 2018
d1fb56e
capitalize NAMESPACE, update Makefile, developer guide, and troblesho…
Tomcli Aug 6, 2018
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24 changes: 16 additions & 8 deletions Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@ CLUSTER_NAME ?= mycluster
PUBLIC_IP ?= 127.0.0.1
CI_MINIKUBE_VERSION ?= v0.25.1
CI_KUBECTL_VERSION ?= v1.9.4
NAMESPACE ?= default

AWS_ACCESS_KEY_ID ?= test
AWS_SECRET_ACCESS_KEY ?= test
Expand Down Expand Up @@ -99,6 +100,7 @@ docker-push:
# TODO: setup-registry

create-registry:
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@kubectl create secret docker-registry regcred --docker-server=${DOCKER_REPO} --docker-username="${DOCKER_REPO_USER}" --docker-password="${DOCKER_REPO_PASS}" --docker-email=unknown@docker.io ; \
cd ${DOCKER_REPO_DIR} ; \
docker-compose up -d
Expand All @@ -125,20 +127,21 @@ deploy-plugin:
done; \
fi;
@existingPlugin=$$(helm list | grep ibmcloud-object-storage-plugin | awk '{print $$1}' | head -n 1);
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@if [ "$(VM_TYPE)" = "dind" ]; then \
export FFDL_PATH=$$(pwd); \
./bin/s3_driver.sh; \
sleep 10; \
(if [ -z "$$existingPlugin" ]; then \
helm install --set dind=true,cloud=false storage-plugin; \
helm install --set dind=true,cloud=false,namespace=$$NAMESPACE storage-plugin; \
else \
helm upgrade --set dind=true,cloud=false $$existingPlugin storage-plugin; \
helm upgrade --set dind=true,cloud=false,namespace=$$NAMESPACE $$existingPlugin storage-plugin; \
fi) & pid=$$!; \
else \
(if [ -z "$$existingPlugin" ]; then \
helm install storage-plugin; \
helm install --set namespace=$$NAMESPACE storage-plugin; \
else \
helm upgrade $$existingPlugin storage-plugin; \
helm upgrade --set namespace=$$NAMESPACE $$existingPlugin storage-plugin; \
fi) & pid=$$!; \
fi;
@echo "Wait while kubectl get pvc shows static-volume-1 in state Pending"
Expand All @@ -148,6 +151,7 @@ deploy-plugin:

quickstart-deploy:
@echo "collecting existing pods"
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@while kubectl get pods --all-namespaces | \
grep -v RESTARTS | \
grep -v Running | \
Expand All @@ -161,11 +165,11 @@ quickstart-deploy:
existing=$$(helm list | grep ffdl | awk '{print $$1}' | head -n 1); \
(if [ -z "$$existing" ]; then \
echo "Deploying the stack via Helm. This will take a while."; \
helm install --set lcm.shared_volume_storage_class=$$SHARED_VOLUME_STORAGE_CLASS . ; \
helm install --set lcm.shared_volume_storage_class=$$SHARED_VOLUME_STORAGE_CLASS,namespace=$$NAMESPACE . ; \
sleep 10; \
else \
echo "Upgrading existing Helm deployment ($$existing). This will take a while."; \
helm upgrade --set lcm.shared_volume_storage_class=$$SHARED_VOLUME_STORAGE_CLASS $$existing . ; \
helm upgrade --set lcm.shared_volume_storage_class=$$SHARED_VOLUME_STORAGE_CLASS,namespace=$$NAMESPACE $$existing . ; \
fi) & pid=$$!; \
sleep 5; \
while kubectl get pods --all-namespaces | \
Expand Down Expand Up @@ -208,6 +212,7 @@ quickstart-deploy:
test-job-submit: ## Submit test training job
@# make sure the buckets with training data exist
@echo Downloading Docker images and test training data. This may take a while.
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@if [ "$(VM_TYPE)" = "minikube" ]; then \
eval $(minikube docker-env); docker images | grep tensorflow | grep latest > /dev/null || docker pull tensorflow/tensorflow > /dev/null; \
fi
Expand Down Expand Up @@ -253,6 +258,7 @@ deploy: ## Deploy the services to Kubernetes
sleep 3; \
fi;
@echo collecting existing pods
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@while kubectl get pods --all-namespaces | \
grep -v RESTARTS | \
grep -v Running | \
Expand All @@ -272,9 +278,9 @@ deploy: ## Deploy the services to Kubernetes
cp -rf Chart.yaml values.yaml templates ${HELM_DEPLOY_DIR}; \
existing=$$(helm list | grep ffdl | awk '{print $$1}' | head -n 1); \
if [ "$$CI" = "true" ]; then \
export helm_params='--set lcm.shared_volume_storage_class=${SHARED_VOLUME_STORAGE_CLASS},has_static_volumes=${HAS_STATIC_VOLUMES},prometheus.deploy=false,learner.docker_namespace=${DOCKER_NAMESPACE},docker.namespace=${DOCKER_NAMESPACE},learner.tag=${IMAGE_TAG},docker.pullPolicy=${DOCKER_PULL_POLICY},docker.registry=${DOCKER_REPO},trainer.version=${IMAGE_TAG},restapi.version=${IMAGE_TAG},lcm.version=${IMAGE_TAG},trainingdata.version=${IMAGE_TAG},databroker.tag=${IMAGE_TAG},databroker.version=${IMAGE_TAG},webui.version=${IMAGE_TAG}'; \
export helm_params='--set lcm.shared_volume_storage_class=${SHARED_VOLUME_STORAGE_CLASS},has_static_volumes=${HAS_STATIC_VOLUMES},namespace=${NAMESPACE},prometheus.deploy=false,learner.docker_namespace=${DOCKER_NAMESPACE},docker.namespace=${DOCKER_NAMESPACE},learner.tag=${IMAGE_TAG},docker.pullPolicy=${DOCKER_PULL_POLICY},docker.registry=${DOCKER_REPO},trainer.version=${IMAGE_TAG},restapi.version=${IMAGE_TAG},lcm.version=${IMAGE_TAG},trainingdata.version=${IMAGE_TAG},databroker.tag=${IMAGE_TAG},databroker.version=${IMAGE_TAG},webui.version=${IMAGE_TAG}'; \
else \
export helm_params='--set lcm.shared_volume_storage_class=${SHARED_VOLUME_STORAGE_CLASS},has_static_volumes=${HAS_STATIC_VOLUMES},learner.docker_namespace=${DOCKER_NAMESPACE},docker.namespace=${DOCKER_NAMESPACE},learner.tag=${IMAGE_TAG},docker.pullPolicy=${DOCKER_PULL_POLICY},docker.registry=${DOCKER_REPO},trainer.version=${IMAGE_TAG},restapi.version=${IMAGE_TAG},lcm.version=${IMAGE_TAG},trainingdata.version=${IMAGE_TAG},databroker.tag=${IMAGE_TAG},databroker.version=${IMAGE_TAG},webui.version=${IMAGE_TAG}'; \
export helm_params='--set lcm.shared_volume_storage_class=${SHARED_VOLUME_STORAGE_CLASS},has_static_volumes=${HAS_STATIC_VOLUMES},namespace=${NAMESPACE},learner.docker_namespace=${DOCKER_NAMESPACE},docker.namespace=${DOCKER_NAMESPACE},learner.tag=${IMAGE_TAG},docker.pullPolicy=${DOCKER_PULL_POLICY},docker.registry=${DOCKER_REPO},trainer.version=${IMAGE_TAG},restapi.version=${IMAGE_TAG},lcm.version=${IMAGE_TAG},trainingdata.version=${IMAGE_TAG},databroker.tag=${IMAGE_TAG},databroker.version=${IMAGE_TAG},webui.version=${IMAGE_TAG}'; \
fi; \
(if [ -z "$$existing" ]; then \
echo "Deploying the stack via Helm. This will take a while."; \
Expand Down Expand Up @@ -448,6 +454,7 @@ docker-build-logcollectors:
test-push-data-s3: ## Test
@# Pushes test data to S3 buckets.
@echo Pushing test data.
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@s3_ip=$$(make --no-print-directory kubernetes-ip); \
s3_port=$$(kubectl get service s3 -o jsonpath='{.spec.ports[0].nodePort}'); \
s3_url=http://$$s3_ip:$$s3_port; \
Expand Down Expand Up @@ -557,6 +564,7 @@ test-submit: ## Submit test training job
@if [ "$(VM_TYPE)" = "minikube" ]; then \
eval $(minikube docker-env); docker images | grep tensorflow | grep latest > /dev/null || docker pull tensorflow/tensorflow > /dev/null; \
fi
@kubectl config set-context $$(kubectl config current-context) --namespace=$$NAMESPACE
@node_ip=$$(make --no-print-directory kubernetes-ip); \
s3_ip=$$(kubectl get po/storage-0 -o=jsonpath='{.status.hostIP}'); \
s3_port=$$(kubectl get service s3 -o jsonpath='{.spec.ports[0].nodePort}'); \
Expand Down
47 changes: 28 additions & 19 deletions README.md
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Expand Up @@ -71,13 +71,21 @@ To know more about the architectural details, please read the [design document](

There are multiple installation paths for installing FfDL locally ("1-click-install") or into an existing Kubernetes cluster. You can visit [Step 5](#5-detailed-installation-instructions) for more details on the deployment instructions.

> If you are using bash shell, you can modify the necessary environment variables in `env.txt` and export all of them using the following commands
> ```shell
> source env.txt
> export $(cut -d= -f1 env.txt)
> ```

### 1.1 Installation using Kubeadm-DIND

If you have [Kubeadm-DIND](https://github.com/kubernetes-sigs/kubeadm-dind-cluster#using-preconfigured-scripts) installed on your machine, use these commands to deploy the FfDL platform:
``` shell
export VM_TYPE=dind
export PUBLIC_IP=localhost
export SHARED_VOLUME_STORAGE_CLASS="";
export NAMESPACE=default # If your namespace does not exist yet, please create the namespace `kubectl create namespace $NAMESPACE` before running the make commands below

make deploy-plugin
make quickstart-deploy
```
Expand All @@ -91,9 +99,11 @@ then deploy the platform services:
``` shell
export VM_TYPE=none
export PUBLIC_IP=<Cluster Public IP>
export NAMESPACE=default # If your namespace does not exist yet, please create the namespace `kubectl create namespace $NAMESPACE` before running the make commands below

# Change the storage class to what's available on your Cloud Kubernetes Cluster.
export SHARED_VOLUME_STORAGE_CLASS="ibmc-file-gold";

make deploy-plugin
make quickstart-deploy
```
Expand Down Expand Up @@ -130,29 +140,42 @@ kubectl get pods --all-namespaces | grep tiller-deploy
```

2. Define the necessary environment variables.
> If you are using bash shell, you can modify the necessary environment variables in `env.txt` and export all of them using the following commands
> ```shell
> source env.txt
> export $(cut -d= -f1 env.txt)
> ```

* 2.a. For Kubeadm-DIND Cluster only
```shell
export FFDL_PATH=$(pwd)
export SHARED_VOLUME_STORAGE_CLASS=""
export VM_TYPE=dind
export PUBLIC_IP=localhost
export NAMESPACE=default # If your namespace does not exist yet, please create the namespace `kubectl create namespace $NAMESPACE` before proceeding to the next step
```

* 2.b. For Cloud Kubernetes Cluster
> Note: If you are using IBM Cloud Cluster, you can obtain your k8s public ip using `bx cs workers <cluster-name>`.

```shell
# Change the storage class to what's available on your Cloud Kubernetes Cluster.
export SHARED_VOLUME_STORAGE_CLASS="ibmc-file-gold"
export VM_TYPE=none
export PUBLIC_IP=<Cluster Public IP>
export NAMESPACE=default # If your namespace does not exist yet, please create the namespace `kubectl create namespace $NAMESPACE` before proceeding to the next step
```

3. Install the Object Storage driver using helm install.
* 3.a. For Kubeadm-DIND Cluster only
```shell
export FFDL_PATH=$(pwd)
./bin/s3_driver.sh
helm install storage-plugin --set dind=true,cloud=false
helm install storage-plugin --set dind=true,cloud=false,namespace=$NAMESPACE
```

* 3.b. For Cloud Kubernetes Cluster
```shell
helm install storage-plugin
helm install storage-plugin --set namespace=$NAMESPACE
```

4. Create a static volume to store any metadata from FfDL.
Expand All @@ -168,13 +191,14 @@ popd
5. Now let's install all the necessary FfDL components using helm install.

``` shell
helm install . --set lcm.shared_volume_storage_class=$SHARED_VOLUME_STORAGE_CLASS
helm install . --set lcm.shared_volume_storage_class=$SHARED_VOLUME_STORAGE_CLASS,namespace=$NAMESPACE
```
> Note: If you want to upgrade an older version of FfDL, run
> `helm upgrade $(helm list | grep ffdl | awk '{print $1}' | head -n 1) .`

Make sure all the FfDL components are installed and running before moving to the next step.
``` shell
kubectl config set-context $(kubectl config current-context) --namespace=$NAMESPACE
kubectl get pods
# NAME READY STATUS RESTARTS AGE
# alertmanager-7cf6b988b9-h9q6q 1/1 Running 0 5h
Expand Down Expand Up @@ -207,22 +231,7 @@ s3_port=$(kubectl get service s3 -o jsonpath='{.spec.ports[0].nodePort}')
```

7. Run the following commands to configure Grafana for monitoring FfDL using the logging information from prometheus.
* 7.a. For Kubeadm-DIND Cluster only
```shell
export VM_TYPE=none
export PUBLIC_IP=localhost

./bin/grafana.init.sh
```


* 7.b. For Cloud Kubernetes Cluster.
> Note: If you are using IBM Cloud Cluster, you can obtain your k8s public ip using `bx cs workers <cluster-name>`.

``` shell
export VM_TYPE=none
export PUBLIC_IP=<Cluster Public IP>

./bin/grafana.init.sh
```

Expand Down
2 changes: 2 additions & 0 deletions bin/create_static_volumes.sh
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Expand Up @@ -13,13 +13,15 @@
SHARED_VOLUME_STORAGE_CLASS="${SHARED_VOLUME_STORAGE_CLASS:-""}"

volumeNum=${1:-1}
Namespace=${Namespace:-default}

echo "Creating persistent volume claim $volumeNum"
(kubectl apply -f - <<EOF
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: static-volume-$volumeNum
namespace: $Namespace
annotations:
volume.beta.kubernetes.io/storage-class: "$SHARED_VOLUME_STORAGE_CLASS"
labels:
Expand Down
15 changes: 8 additions & 7 deletions bin/create_static_volumes_config.sh
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Expand Up @@ -9,17 +9,18 @@

CONFIGMAP_NAME=static-volumes
volumeType=${1:-dlaas-static-volume}
NAMESPACE=${NAMESPACE:-default}

# Delete configmap
if kubectl get cm | grep static-volumes &> /dev/null; then kubectl delete configmap ${CONFIGMAP_NAME}; else echo "No need to delete ${CONFIGMAP_NAME} since it doesn't exist."; fi
if kubectl get cm -n ${NAMESPACE} | grep static-volumes &> /dev/null; then kubectl delete configmap ${CONFIGMAP_NAME} -n ${NAMESPACE}; else echo "No need to delete ${CONFIGMAP_NAME} since it doesn't exist."; fi

# Create new configmap
echo
echo "Using volumes with label type=$volumeType:"
kubectl get pvc --selector type=${volumeType}
kubectl get pvc --selector type=${volumeType} -n ${NAMESPACE}
echo
kubectl create configmap ${CONFIGMAP_NAME} --from-file=PVCs.yaml=<(
kubectl get pvc --selector type=${volumeType} -o yaml
kubectl create configmap ${CONFIGMAP_NAME} -n ${NAMESPACE} --from-file=PVCs.yaml=<(
kubectl get pvc --selector type=${volumeType} -n ${NAMESPACE} -o yaml
)

CONFIGMAP_NAME2=static-volumes-v2
Expand All @@ -30,9 +31,9 @@ CONFIGMAP_NAME2=static-volumes-v2
# Create new configmap
echo
echo "Using volumes with label type=$volumeType"
kubectl get pvc --selector type=${volumeType}
kubectl get pvc --selector type=${volumeType} -n ${NAMESPACE}
echo

kubectl get pvc --selector type="dlaas-static-volume" -o jsonpath='{"static-volumes-v2:"}{range .items[*]}{"\n - name: "}{.metadata.name}{"\n zlabel: "}{.metadata.name}{"\n status: active\n"}' > PVCs-v2.yaml
kubectl get pvc --selector type="dlaas-static-volume" -n ${NAMESPACE} -o jsonpath='{"static-volumes-v2:"}{range .items[*]}{"\n - name: "}{.metadata.name}{"\n zlabel: "}{.metadata.name}{"\n status: active\n"}' > PVCs-v2.yaml

kubectl create configmap ${CONFIGMAP_NAME2} --from-file=PVCs-v2.yaml
kubectl create configmap ${CONFIGMAP_NAME2} -n ${NAMESPACE} --from-file=PVCs-v2.yaml
3 changes: 2 additions & 1 deletion bin/grafana.init.sh
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Expand Up @@ -17,7 +17,8 @@ fi

[ -z ${node_ip} ] && echo "Can't get node_ip for grafana, \$VM_TYPE == \"$VM_TYPE\""

grafana_port=$(kubectl get service grafana -o jsonpath='{.spec.ports[0].nodePort}')
NAMESPACE=${NAMESPACE:-default}
grafana_port=$(kubectl get service grafana -o jsonpath='{.spec.ports[0].nodePort}' -n $NAMESPACE)
grafana_url="http://$node_ip:$grafana_port"

echo "wait until the grafana service is up (grafana_url=${grafana_url})"
Expand Down
2 changes: 2 additions & 0 deletions docs/developer-guide.md
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Expand Up @@ -32,6 +32,7 @@ export DOCKER_NAMESPACE=<NAMESPACE_ON_IBM_CLOUD> # Container Registry Namespace
export DOCKER_PULL_POLICY=Always # Keep IfNotPresent if not pushing to registry, e.g. for Minikube
export VM_TYPE=none
export HAS_STATIC_VOLUMES=True
export NAMESPACE=default # If your namespace does not exist yet, please create the namespace `kubectl create namespace $NAMESPACE` before proceeding to the next step
```

Compile the code, generate certificates, and build the Docker images via:
Expand All @@ -50,6 +51,7 @@ make docker-push # Push built Docker images to registry, not used for Minikube
Make sure `kubectl` points to the right target context/namespace, then deploy the services to your Kubernetes
environment (using `helm`):
```shell
kubectl config set-context $(kubectl config current-context) --namespace=$NAMESPACE # Set your current-context to the FfDL namespace
make create-volumes # Create static volumes for sharing across pods
make deploy-plugin # Deploy S3 storage plugin
make deploy # Deploy FfDL
Expand Down
4 changes: 2 additions & 2 deletions docs/troubleshooting.md
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Expand Up @@ -37,7 +37,7 @@ Need to adapt tensorflow version in manifest to what is specified on https://git

# DIND
## Deploy
* ffdl-lcm, ffdl-restapi, ffdl-trainer, ffdl-trainingdata and ffdl-ui pods show ImagePullBackOff: See if Kubernetes secret regcred exists via `kubectl get secret | grep regcred`. If it does not (output empty), create it with `kubectl create secret docker-registry regcred --docker-server=${DOCKER_REPO} --docker-username=${DOCKER_REPO_USER} --docker-password=${DOCKER_REPO_PASS} --docker-email=unknown@docker.io`.
* ffdl-lcm, ffdl-restapi, ffdl-trainer, ffdl-trainingdata and ffdl-ui pods show ImagePullBackOff: See if Kubernetes secret regcred exists via `kubectl get secret | grep regcred`. If it does not (output empty), create it with `kubectl create secret docker-registry regcred --docker-server=${DOCKER_REPO} --docker-username=${DOCKER_REPO_USER} --docker-password=${DOCKER_REPO_PASS} --docker-email=unknown@docker.io -n ${NAMESPACE}`.

## Training
* If you start a job and `lhelper` and `jobmonitor` pods get to `Running` state, but the corresponding `learner` remains stuck in `ContainerCreating`, please take a look at `kubectl describe pod <learner-pod>`. It is possible that your storage configuration in your manifest is invalid and if so, you should see events that point out the issues.
* If you start a job and `lhelper` and `jobmonitor` pods get to `Running` state, but the corresponding `learner` remains stuck in `ContainerCreating`, please take a look at `kubectl describe pod <learner-pod>`. It is possible that your storage configuration in your manifest is invalid and if so, you should see events that point out the issues.
5 changes: 5 additions & 0 deletions env.txt
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@@ -0,0 +1,5 @@
VM_TYPE=dind # Kubernetes deployment environment (dind or none)
PUBLIC_IP=localhost # Kubernetes External IP
SHARED_VOLUME_STORAGE_CLASS=""; # Storage Class available on your Kubernetes Cluster
NAMESPACE=default # The namespace that you want to deploy FfDL on
FFDL_PATH=$(pwd) # Current path of your FfDL directory
1 change: 1 addition & 0 deletions storage-plugin/templates/volume.yaml
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Expand Up @@ -3,6 +3,7 @@ apiVersion: v1
kind: PersistentVolume
metadata:
name: local-volume-1
namespace: {{.Values.namespace}}
labels:
type: local
spec:
Expand Down
1 change: 1 addition & 0 deletions storage-plugin/values.yaml
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Expand Up @@ -7,3 +7,4 @@ image:
pullPolicy: IfNotPresent
dind: false
cloud: true
namespace: default
3 changes: 3 additions & 0 deletions templates/infrastructure/etcd.yml
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Expand Up @@ -2,6 +2,7 @@ apiVersion: v1
kind: Service
metadata:
name: etcd
namespace: {{.Values.namespace}}
spec:
ports:
- port: 2379
Expand All @@ -19,6 +20,7 @@ metadata:
app: etcd
etcd_node: etcd0
name: etcd0
namespace: {{.Values.namespace}}
spec:
containers:
- command:
Expand Down Expand Up @@ -57,6 +59,7 @@ metadata:
labels:
etcd_node: etcd0
name: etcd0
namespace: {{.Values.namespace}}
spec:
ports:
- name: client
Expand Down
2 changes: 2 additions & 0 deletions templates/infrastructure/mongo.yml
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Expand Up @@ -2,6 +2,7 @@ apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: mongo
namespace: {{.Values.namespace}}
spec:
serviceName: mongo
replicas: 1
Expand Down Expand Up @@ -34,6 +35,7 @@ apiVersion: v1
kind: Service
metadata:
name: mongo
namespace: {{.Values.namespace}}
labels:
environment: local
spec:
Expand Down
3 changes: 3 additions & 0 deletions templates/infrastructure/storage.yml
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Expand Up @@ -2,6 +2,7 @@ apiVersion: v1
kind: Service
metadata:
name: s3
namespace: {{.Values.namespace}}
spec:
{{ if .Values.services.expose_node_port }}
type: NodePort
Expand All @@ -19,6 +20,7 @@ apiVersion: v1
kind: Service
metadata:
name: elasticsearch
namespace: {{.Values.namespace}}
labels:
component: elasticsearch
spec:
Expand All @@ -39,6 +41,7 @@ apiVersion: apps/v1beta1
kind: StatefulSet
metadata:
name: storage
namespace: {{.Values.namespace}}
spec:
serviceName: storage
replicas: 1
Expand Down
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