Deploy Hydrolix
Hydrolix deployments follow the Kubernetes operator pattern. To deploy Hydrolix, generate an operator configuration (operator.yaml) and a custom resource Hydrolix configuration (hydrolixcluster.yaml). You'll use these files to deploy Hydrolix on your Kubernetes cluster.
Generate the Operator Configuration
The Hydrolix operator resources API generates all of the Kubernetes resource definitions required to deploy the operator, including service accounts and role permissions. Once deployed, the operator manages your Hydrolix cluster deployment. To upgrade your deployment to a new version, repeat this step.
Prerequisite: Environment Variables
These CLI commands require you to set environment variables before generating the configuration. See Prepare a Cluster for more information about the required inputs.
Run the following command to generate the operator YAML file, named operator.yaml:
curl "https://www.hydrolix.io/operator/latest/operator-resources?namespace=${HDX_KUBERNETES_NAMESPACE}" > operator.yaml
Generate the hydrolixcluster.yaml Configuration
Now that the environment is set up, create the Hydrolix configuration hydrolixcluster.yaml:
---
apiVersion: hydrolix.io/v1
kind: HydrolixCluster
metadata:
name: hdx
namespace: ${HDX_KUBERNETES_NAMESPACE}
spec:
admin_email: ${HDX_ADMIN_EMAIL}
db_bucket_region: ${HDX_BUCKET_REGION}
db_bucket_url: ${HDX_DB_BUCKET_URL}
db_bucket_endpoint: ${HDX_DB_BUCKET_ENDPOINT}
env:
AWS_REGION: ${HDX_BUCKET_REGION}
S3_ENDPOINT: ${HDX_DB_BUCKET_ENDPOINT}
hydrolix_name: hdx
hydrolix_url: ${HDX_HYDROLIX_URL}
ip_allowlist:
- 0.0.0.0/0 #TODO: Replace this with your IP address in CIDR notation, eg. 12.13.14.15/32
kubernetes_namespace: ${HDX_KUBERNETES_NAMESPACE}
kubernetes_profile: lke
scale:
postgres:
replicas: 1
scale_profile: dev
Use the following command to replace the environment variables above with their values:
eval "echo \"$(cat hydrolixcluster.yaml)\"" > hydrolixcluster.yaml
Now, manually add your IP address to the allowlist. You can get your IP address by running curl -s ifconfig.me.
Manually Edit Configuration Files
You can also edit the
hydrolixcluster.yamlto tune each deployment to your resource requirements. Scale profile information can be found in Scale Profiles.
After creating all those files, you can deploy Hydrolix by using the following command in the folder containing these YAML configs:
kubectl apply -f operator.yaml --namespace ${HDX_KUBERNETES_NAMESPACE}
kubectl apply -f hydrolixcluster.yaml --namespace ${HDX_KUBERNETES_NAMESPACE}
The cluster typically takes five to ten minutes to fully deploy. When it's ready for you to sign into the web UI, it will send e-mail to the address you configured in theHDX_ADMIN_EMAIL environment variable. There's a link in that e-mail to allow you to set a new password and log in. However, you'll need to set up DNS for your cluster, and probably HTTPS/TLS before that will work.
Create Your DNS Record
Next, create a DNS record so you can access your cluster. Run the following command to retrieve the traefik record:
kubectl get service/traefik --namespace=$HDX_KUBERNETES_NAMESPACE
You should see output similar to the following:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE 8089/TCP 68m
traefik LoadBalancer 10.64.14.42 34.66.136.134 80:31708/TCP,9000:32344/TCP 2m50s
Using the DNS provider of your choice, set up an A record for your hostname that points to the EXTERNAL-IP above.
Check Deployment Status
You can now check the status of your deployment. Run the followingkubectl command to see the status of all pods in your cluster:
kubectl get pods --namespace $HDX_KUBERNETES_NAMESPACE
You should see output similar to the following:
NAME READY STATUS RESTARTS AGE
autoingest-658f799497-czw59 1/1 Running 0 5m44s
batch-head-bcf7869bc-fm794 1/1 Running 0 5m46s
batch-peer-555df86d8-svlmw 2/2 Running 0 5m45s
decay-78775df79d-ppxpf 1/1 Running 0 5m45s
init-cluster-v3-16-0-6fcml 0/1 Completed 0 5m45s
init-turbine-api-v3-16-0-jqt4m 0/1 Completed 0 5m46s
intake-api-747cdd5d4d-vrsjm 1/1 Running 0 5m45s
keycloak-68fcff9b69-p4lt5 1/1 Running 0 5m46s
load-sample-project-nv8dl 1/1 Running 0 5m44s
merge-head-7df478d57-7qgwn 1/1 Running 0 5m44s
merge-peer-dbb68cc75-c8fl4 1/1 Running 0 5m45s
merge-peer-dbb68cc75-ntwpj 1/1 Running 0 5m45s
operator-55d4dfff6f-pktrl 1/1 Running 0 7m10s
postgres-0 1/1 Running 0 5m46s
prometheus-0 2/2 Running 0 5m45s
query-head-65bf688594-l9prj 1/1 Running 0 5m45s
query-peer-67dfcccb56-h6rkw 1/1 Running 0 5m44s
rabbitmq-0 1/1 Running 0 5m46s
reaper-647d474f5-mfgww 1/1 Running 0 5m44s
redpanda-0 2/2 Running 0 5m46s
redpanda-1 2/2 Running 0 5m23s
redpanda-2 2/2 Running 0 3m38s
stream-head-6ccc9779df-7jvzf 1/1 Running 0 5m43s
stream-peer-6db9464bd5-cgq6x 2/2 Running 0 5m44s
traefik-6f898fd647-lxf84 2/2 Running 0 5m43s
turbine-api-65d44c7d54-crpcm 1/1 Running 0 5m43s
ui-5b8bc9c9d4-pgjtv 1/1 Running 0 5m43s
validator-769ff76ddb-5mm5w 2/2 Running 0 5m43s
vector-557q5 1/1 Running 0 4m58s
vector-5ttd4 1/1 Running 0 5m46s
vector-5z8zq 1/1 Running 0 5m46s
vector-qnpn9 1/1 Running 0 5m46s
vector-r8pj6 1/1 Running 0 3m4s
version-848c8c964c-j2khx 1/1 Running 0 5m43s
zookeeper-0 1/1 Running 0 5m46s
You can also check your cluster status via the k9s tool or in the Kubernetes Dashboard available from the Linode LKE cluster summary page.
Enable IP Access and TLS
If the URL of your Hydrolix cluster uses HTTPS, you will need to configure a TLS certificate. This is sometimes a complex process, but with simpler DNS configurations you can just follow these two steps:
- Set the configuration option
acme_enabledtotrueinhydrolixcluster.yaml.spec: acme_enabled: true - Load the configuration changes to your Hydrolix cluster with
kubectl apply -f hydrolixcluster.yaml. Hydrolix will automatically generate a certificate for your cluster and store it in a Kubernetes secret namedtraefik-tls. This process can take up to 30 seconds.
If your DNS policies are more complicated, or if you want to generate and use your own certificate, refer to the instructions in Enabling Access & TLS.
TLS setup failing?
Sometimes the Linode API will be unavailable and certificate storage will fail. In this case, delete the init-acme job from your Kubernetes cluster. The Hydrolix operator will automatically start a new one in 5 seconds and retry the operation.
To find the full name of the init-acme job, list the Kubernetes cluster's jobs:
% kubectl get jobs
NAME STATUS COMPLETIONS DURATION AGE
backup-keycloak-db-v4-18-2 Suspended 0/1 8m53s
check-bucket-access-v45x6we4v Suspended 0/1 8m53s
init-acme-509c50f0 Suspended 0/1 8m53s
init-cluster-v4-18-2-66dbb6ba Suspended 0/1 8m53s
init-turbine-api-v4-18-2 Suspended 0/1 8m53s
load-sample-project Suspended 0/1 8m53s
Remove the job with
% kubectl delete jobs init-acme-509c50f0
Enable Autoscaling
Once your Hydrolix cluster is deployed, you can enable autoscaling by downloading and applying the following yaml:
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
k8s-app: metrics-server
rbac.authorization.k8s.io/aggregate-to-admin: "true"
rbac.authorization.k8s.io/aggregate-to-edit: "true"
rbac.authorization.k8s.io/aggregate-to-view: "true"
name: system:aggregated-metrics-reader
rules:
- apiGroups:
- metrics.k8s.io
resources:
- pods
- nodes
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
labels:
k8s-app: metrics-server
name: system:metrics-server
rules:
- apiGroups:
- ""
resources:
- nodes/metrics
verbs:
- get
- apiGroups:
- ""
resources:
- pods
- nodes
verbs:
- get
- list
- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
labels:
k8s-app: metrics-server
name: metrics-server-auth-reader
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
k8s-app: metrics-server
name: metrics-server:system:auth-delegator
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:auth-delegator
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
labels:
k8s-app: metrics-server
name: system:metrics-server
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:metrics-server
subjects:
- kind: ServiceAccount
name: metrics-server
namespace: kube-system
---
apiVersion: v1
kind: Service
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
spec:
ports:
- name: https
port: 443
protocol: TCP
targetPort: https
selector:
k8s-app: metrics-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
spec:
selector:
matchLabels:
k8s-app: metrics-server
strategy:
rollingUpdate:
maxUnavailable: 0
template:
metadata:
labels:
k8s-app: metrics-server
spec:
containers:
- args:
- --cert-dir=/tmp
- --secure-port=4443
- --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
- --kubelet-use-node-status-port
- --kubelet-insecure-tls=true
- --metric-resolution=15s
image: k8s.gcr.io/metrics-server/metrics-server:v0.6.1
imagePullPolicy: IfNotPresent
livenessProbe:
failureThreshold: 3
httpGet:
path: /livez
port: https
scheme: HTTPS
periodSeconds: 10
name: metrics-server
ports:
- containerPort: 4443
name: https
protocol: TCP
readinessProbe:
failureThreshold: 3
httpGet:
path: /readyz
port: https
scheme: HTTPS
initialDelaySeconds: 20
periodSeconds: 10
resources:
requests:
cpu: 100m
memory: 200Mi
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1000
volumeMounts:
- mountPath: /tmp
name: tmp-dir
nodeSelector:
kubernetes.io/os: linux
priorityClassName: system-cluster-critical
serviceAccountName: metrics-server
volumes:
- emptyDir: {}
name: tmp-dir
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
labels:
k8s-app: metrics-server
name: v1beta1.metrics.k8s.io
spec:
group: metrics.k8s.io
groupPriorityMinimum: 100
insecureSkipTLSVerify: true
service:
name: metrics-server
namespace: kube-system
version: v1beta1
versionPriority: 100
Once you have downloaded the file you can apply it using:
kubectl apply -f autoscale.yaml
The Final Step
You should have received an email that will now allow you to set a password and login. If you do not receive this e-mail, or have trouble logging in, try these things:
- Verify the e-mail address in your hydrolixcluster.yaml file is correct and that you can receive mail sent to it.
- Try the "Forgot my password" option on the login page.
- If those two steps fail, contact us at [email protected] and we'll happily assist you.
Updated 14 days ago