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* Update the partial references for 1.7.x-SNAPSHOT * Delete image folder for 1.4 and add images for 1.7 * Update the new connector stages
422 lines
11 KiB
Markdown
422 lines
11 KiB
Markdown
---
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title: Kubernetes GKE Deployment
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slug: /deployment/kubernetes/gke
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collate: false
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---
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# GKE on Google Cloud Platform Deployment
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OpenMetadata supports the Installation and Running of Application on Google Kubernetes Engine through Helm Charts.
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However, there are some additional configurations which needs to be done as prerequisites for the same.
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{%note%}
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Google Kubernetes Engine (GKE) Auto Pilot Mode is not compatible with one of OpenMetadata Dependencies - ElasticSearch.
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The reason being that ElasticSearch Pods require Elevated permissions to run initContainers for changing configurations which is not allowed by GKE AutoPilot PodSecurityPolicy.
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{%/note%}
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{%note noteType="Warning"%}
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All the code snippets in this section assume the `default` namespace for kubernetes.
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{%/note%}
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## Prerequisites
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### Cloud Database with CloudSQL and ElasticCloud for GCP as Search Engine
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It is recommended to use GCP [Cloud SQL](https://cloud.google.com/sql/) services for Database and [Elastic Cloud GCP](https://www.elastic.co/partners/google-cloud) for Search Engine for Production.
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We support -
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- Cloud SQL (MySQL) engine version 8 or higher
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- Cloud SQL (postgreSQL) engine version 12 or higher
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- ElasticSearch Engine version 8.X (upto 8.10.X)
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We recommend -
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- CloudSQL to be Multi Zone Available
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- Elastic Cloud Environment with multiple zones and minimum 2 nodes
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Once you have the Database and Search Engine configured and available, update the helm values below for OpenMetadata kubernetes deployments to connect with Database and ElasticSearch.
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```yaml
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# openmetadata-values.prod.yaml
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...
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openmetadata:
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config:
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elasticsearch:
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host: <ELASTIC_CLOUD_SERVICE_ENDPOINT_WITHOUT_HTTPS>
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searchType: elasticsearch
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port: 443
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scheme: https
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connectionTimeoutSecs: 5
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socketTimeoutSecs: 60
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keepAliveTimeoutSecs: 600
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batchSize: 10
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auth:
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enabled: true
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username: <ELASTIC_CLOUD_USERNAME>
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password:
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secretRef: elasticsearch-secrets
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secretKey: openmetadata-elasticsearch-password
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database:
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host: <GCP_CLOUD_SQL_ENDPOINT_IP>
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port: 3306
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driverClass: com.mysql.cj.jdbc.Driver
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dbScheme: mysql
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dbUseSSL: true
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databaseName: <GCP_CLOUD_SQL_DATABASE_NAME>
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auth:
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username: <GCP_CLOUD_SQL_DATABASE_USERNAME>
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password:
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secretRef: mysql-secrets
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secretKey: openmetadata-mysql-password
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...
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```
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{%note noteType="Tip"%}
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For Database as PostgreSQL, the use the below config for database values -
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```yaml
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# openmetadata-values.prod.yaml
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...
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openmetadata:
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config:
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...
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database:
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host: <GCP_CLOUD_SQL_ENDPOINT_IP>
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port: 5432
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driverClass: org.postgresql.Driver
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dbScheme: postgresql
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dbUseSSL: true
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databaseName: <GCP_CLOUD_SQL_DATABASE_NAME>
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auth:
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username: <GCP_CLOUD_SQL_DATABASE_USERNAME>
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password:
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secretRef: sql-secrets
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secretKey: openmetadata-sql-password
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```
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{%/note%}
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{%note noteType="Tip"%}
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Make sure to create CloudSQL and ElasticSearch credentials as Kubernetes Secrets mentioned [here](/quick-start/local-kubernetes-deployment#2.-create-kubernetes-secrets-required-for-helm-charts).
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Also, disable MySQL and ElasticSearch from OpenMetadata Dependencies Helm Charts as mentioned in the FAQs [here](#how-to-disable-mysql-and-elasticsearch-from-openmetadata-dependencies-helm-charts).
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{%/note%}
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### Persistent Volumes with ReadWriteMany Access Modes
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OpenMetadata helm chart depends on Airflow and Airflow expects a persistent disk that support ReadWriteMany (the volume can be mounted as read-write by many nodes).
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The workaround is to create nfs-server disk on Google Kubernetes Engine and use that as the persistent claim and deploy OpenMetadata by implementing the following steps in order.
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## Create NFS Share
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### Provision GCP Persistent Disk for Google Kubernetes Engine
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Run the below command to create a gcloud compute zonal disk. For more information on Google Cloud Disk Options, please visit [here](https://cloud.google.com/compute/docs/disks).
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```commandline
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gcloud compute disks create --size=100GB --zone=<zone_id> nfs-disk
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```
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### Deploy NFS Server in GKE
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### Code Samples
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```yaml
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# nfs-server-deployment.yml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: nfs-server
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spec:
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replicas: 1
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selector:
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matchLabels:
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role: nfs-server
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template:
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metadata:
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labels:
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role: nfs-server
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spec:
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initContainers:
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- name: init-airflow-directories
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image: busybox
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command: ['sh', '-c', 'mkdir -p /exports/airflow-dags /exports/airflow-logs']
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volumeMounts:
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- mountPath: /exports
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name: nfs-pvc
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containers:
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- name: nfs-server
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image: gcr.io/google_containers/volume-nfs:0.8
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ports:
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- name: nfs
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containerPort: 2049
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- name: mountd
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containerPort: 20048
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- name: rpcbind
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containerPort: 111
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securityContext:
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privileged: true
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volumeMounts:
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- mountPath: /exports
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name: nfs-pvc
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volumes:
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- name: nfs-pvc
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gcePersistentDisk:
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pdName: nfs-disk
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fsType: ext4
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---
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# nfs-cluster-ip-service.yml
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apiVersion: v1
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kind: Service
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metadata:
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name: nfs-server
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spec:
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ports:
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- name: nfs
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port: 2049
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- name: mountd
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port: 20048
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- name: rpcbind
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port: 111
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selector:
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role: nfs-server
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```
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Run the commands below and ensure the pods are running.
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```commandline
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kubectl create -f nfs-server-deployment.yml
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kubectl create -f nfs-cluster-ip-service.yml
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```
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We create a ClusterIP Service for pods to access NFS within the cluster at a fixed IP/DNS.
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### Provision NFS backed PV and PVC for Airflow DAGs and Airflow Logs
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Update `<NFS_SERVER_CLUSTER_IP>` with the NFS Service Cluster IP Address for below code snippets.
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You can get the clusterIP using the following command
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```commandline
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kubectl get service nfs-server -o jsonpath='{.spec.clusterIP}'
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```
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### Code Samples for PV and PVC for Airflow DAGs
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```yaml
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# dags_pv_pvc.yml
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apiVersion: v1
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kind: PersistentVolume
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metadata:
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name: openmetadata-dependencies-dags-pv
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spec:
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capacity:
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storage: 10Gi
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accessModes:
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- ReadWriteMany
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nfs:
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server: <NFS_SERVER_CLUSTER_IP>
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path: "/airflow-dags"
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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labels:
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app: airflow
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release: openmetadata-dependencies
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name: openmetadata-dependencies-dags
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namespace: default
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spec:
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accessModes:
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- ReadWriteMany
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resources:
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requests:
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storage: 10Gi
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storageClassName: ""
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```
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Create Persistent Volumes and Persistent Volume claims with the below command.
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```commandline
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kubectl create -f dags_pv_pvc.yml
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```
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### Code Samples for PV and PVC for Airflow Logs
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```yaml
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# logs_pv_pvc.yml
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apiVersion: v1
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kind: PersistentVolume
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metadata:
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name: openmetadata-dependencies-logs-pv
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spec:
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capacity:
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storage: 10Gi
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accessModes:
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- ReadWriteMany
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nfs:
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server: <NFS_SERVER_CLUSTER_IP>
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path: "/airflow-logs"
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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labels:
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app: airflow
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name: openmetadata-dependencies-logs
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namespace: default
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spec:
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accessModes:
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- ReadWriteMany
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resources:
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requests:
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storage: 10Gi
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storageClassName: ""
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```
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Create Persistent Volumes and Persistent Volume claims with the below command.
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```commandline
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kubectl create -f logs_pv_pvc.yml
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```
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## Change owner and permission manually on disks
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Since airflow pods run as non root users, they would not have write access on the nfs server volumes. In order to fix the permission here, spin up a pod with persistent volumes attached and run it once.
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```yaml
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# permissions_pod.yml
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apiVersion: v1
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kind: Pod
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metadata:
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creationTimestamp: null
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labels:
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run: my-permission-pod
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name: my-permission-pod
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spec:
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containers:
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- image: nginx
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name: my-permission-pod
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volumeMounts:
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- name: airflow-dags
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mountPath: /airflow-dags
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- name: airflow-logs
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mountPath: /airflow-logs
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volumes:
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- name: airflow-logs
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persistentVolumeClaim:
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claimName: openmetadata-dependencies-logs
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- name: airflow-dags
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persistentVolumeClaim:
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claimName: openmetadata-dependencies-dags
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dnsPolicy: ClusterFirst
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restartPolicy: Always
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```
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{%note%}
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Airflow runs the pods with linux user name as airflow and linux user id as 50000.
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{%/note%}
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Run the below command to create the pod and fix the permissions
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```commandline
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kubectl create -f permissions_pod.yml
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```
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Once the permissions pod is up and running, execute the below commands within the container.
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```commandline
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kubectl exec --tty my-permission-pod --container my-permission-pod -- chown -R 50000 /airflow-dags /airflow-logs
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# If needed
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kubectl exec --tty my-permission-pod --container my-permission-pod -- chmod -R a+rwx /airflow-dags
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```
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## Create OpenMetadata dependencies Values
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Override openmetadata dependencies airflow helm values to bind the nfs persistent volumes for DAGs and logs.
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```yaml
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# values-dependencies.yml
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airflow:
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airflow:
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extraVolumeMounts:
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- mountPath: /airflow-logs
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name: nfs-airflow-logs
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- mountPath: /airflow-dags/dags
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name: nfs-airflow-dags
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extraVolumes:
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- name: nfs-airflow-logs
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persistentVolumeClaim:
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claimName: openmetadata-dependencies-logs
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- name: nfs-airflow-dags
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persistentVolumeClaim:
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claimName: openmetadata-dependencies-dags
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config:
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AIRFLOW__OPENMETADATA_AIRFLOW_APIS__DAG_GENERATED_CONFIGS: "/airflow-dags/dags"
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dags:
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path: /airflow-dags/dags
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persistence:
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enabled: false
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logs:
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path: /airflow-logs
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persistence:
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enabled: false
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```
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{%note%}
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For more information on airflow helm chart values, please refer to [airflow-helm](https://artifacthub.io/packages/helm/airflow-helm/airflow/8.8.0).
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When deploying openmeteadata dependencies helm chart, use the below command -
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```commandline
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helm install openmetadata-dependencies open-metadata/openmetadata-dependencies --values values-dependencies.yaml
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```
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{%/note%}
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The above command uses configurations defined [here](https://raw.githubusercontent.com/open-metadata/openmetadata-helm-charts/main/charts/deps/values.yaml).
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You can modify any configuration and deploy by passing your own `values.yaml`
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```commandline
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helm install openmetadata-dependencies open-metadata/openmetadata-dependencies --values <path-to-values-file>
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```
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Once the openmetadata dependencies helm chart deployed, you can then run the below command to install the openmetadata helm chart -
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```commandline
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helm install openmetadata open-metadata/openmetadata --values <path-to-values-file>
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```
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# Troubleshooting
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## Pods are stuck in Pending State due to Persistent Volume Creation Failure
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If you came across `invalid access type while creating the pvc`, and the permission pod is stuck in "pending" state.
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The above error might have occurred due to the pvc volumes not setup or pvc volumes are not mounted properly.
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{% image
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src="/images/v1.7/deployment/troubleshoot/dag-log.png"
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alt="dag-log" /%}
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{% image
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src="/images/v1.7/deployment/troubleshoot/permission-pod-events.png"
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alt="permission-pod-events"
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caption="Permission pod events" /%}
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Please validate:
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- all the prerequisites mentioned in this [section](#prerequisites)
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- the configuration of `dags_pv_pvc.yml` file
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- `storageClassName` field in YAML file
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# FAQs
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{% partial file="/v1.7/deployment/faqs.md" /%} |