Overview
KubeDB is the Kubernetes Native Database Management Solution which simplifies and automates routine database tasks such as Provisioning, Monitoring, Upgrading, Patching, Scaling, Volume Expansion, Backup, Recovery, Failure detection, and Repair for various popular databases on private and public clouds. The databases supported by KubeDB include MongoDB, Elasticsearch, MySQL, MariaDB, Redis, PostgreSQL, Percona XtraDB, and Memcached. Additionally, KubeDB also supports ProxySQL, PgBouncer, and the streaming platform Kafka. You can find the guides to all the supported databases in KubeDB . In this tutorial we will deploy Kafka Cluster in Google Kubernetes Engine (GKE). We will cover the following steps:
- Install KubeDB
- Deploy Kafka Cluster
- Publish & Consume Messages with Kafka
Get Cluster ID
We need the cluster ID to get the KubeDB License. To get cluster ID, we can run the following command:
$ kubectl get ns kube-system -o jsonpath='{.metadata.uid}'
8e336615-0dbb-4ae8-b72f-2e7ec34c399d
Get License
Go to Appscode License Server to get the license.txt file. For this tutorial we will use KubeDB.
Install KubeDB
We will use helm to install KubeDB. Please install helm here
if it is not already installed.
Now, let’s install KubeDB
.
$ helm repo add appscode https://charts.appscode.com/stable/
$ helm repo update
$ helm search repo appscode/kubedb
NAME CHART VERSION APP VERSION DESCRIPTION
appscode/kubedb v2023.12.11 v2023.12.11 KubeDB by AppsCode - Production ready databases...
appscode/kubedb-autoscaler v0.23.0 v0.23.0 KubeDB Autoscaler by AppsCode - Autoscale KubeD...
appscode/kubedb-catalog v2023.12.11 v2023.12.11 KubeDB Catalog by AppsCode - Catalog for databa...
appscode/kubedb-community v0.24.2 v0.24.2 KubeDB Community by AppsCode - Community featur...
appscode/kubedb-crds v2023.12.11 v2023.12.11 KubeDB Custom Resource Definitions
appscode/kubedb-dashboard v0.14.0 v0.14.0 KubeDB Dashboard by AppsCode
appscode/kubedb-enterprise v0.11.2 v0.11.2 KubeDB Enterprise by AppsCode - Enterprise feat...
appscode/kubedb-grafana-dashboards v2023.12.11 v2023.12.11 A Helm chart for kubedb-grafana-dashboards by A...
appscode/kubedb-kubestash-catalog v2023.12.11 v2023.12.11 KubeStash Catalog by AppsCode - Catalog of Kube...
appscode/kubedb-metrics v2023.12.11 v2023.12.11 KubeDB State Metrics
appscode/kubedb-one v2023.12.11 v2023.12.11 KubeDB and Stash by AppsCode - Production ready...
appscode/kubedb-ops-manager v0.25.0 v0.25.0 KubeDB Ops Manager by AppsCode - Enterprise fea...
appscode/kubedb-opscenter v2023.12.11 v2023.12.11 KubeDB Opscenter by AppsCode
appscode/kubedb-provider-aws v2023.12.11 v0.0.2 A Helm chart for KubeDB AWS Provider for Crossp...
appscode/kubedb-provider-azure v2023.12.11 v0.0.2 A Helm chart for KubeDB Azure Provider for Cros...
appscode/kubedb-provider-gcp v2023.12.11 v0.0.2 A Helm chart for KubeDB GCP Provider for Crossp...
appscode/kubedb-provisioner v0.38.0 v0.38.1 KubeDB Provisioner by AppsCode - Community feat...
appscode/kubedb-schema-manager v0.14.0 v0.14.0 KubeDB Schema Manager by AppsCode
appscode/kubedb-ui v2023.12.5 0.6.1-alpha.2 A Helm chart for Kubernetes
appscode/kubedb-ui-server v2021.12.21 v2021.12.21 A Helm chart for kubedb-ui-server by AppsCode
appscode/kubedb-webhook-server v0.14.0 v0.14.0 KubeDB Webhook Server by AppsCode
# Install KubeDB operator chart
$ helm install kubedb oci://ghcr.io/appscode-charts/kubedb \
--version v2023.12.11 \
--namespace kubedb --create-namespace \
--set-file global.license=/path/to/the/license.txt \
--wait --burst-limit=10000 --debug
Let’s verify the installation:
$ kubectl get pods --all-namespaces -l "app.kubernetes.io/instance=kubedb"
NAMESPACE NAME READY STATUS RESTARTS AGE
kubedb kubedb-kubedb-autoscaler-86b776dc7-cndqr 1/1 Running 0 5m7s
kubedb kubedb-kubedb-dashboard-6c7fb4d7c5-6l4s9 1/1 Running 0 5m7s
kubedb kubedb-kubedb-ops-manager-c4ffbc66f-m5g6k 1/1 Running 0 5m7s
kubedb kubedb-kubedb-provisioner-7bfb4bdb7b-mmts2 1/1 Running 0 5m7s
kubedb kubedb-kubedb-webhook-server-7c78b9f747-pqf65 1/1 Running 0 5m7s
We can list the CRD Groups that have been registered by the operator by running the following command:
$ kubectl get crd -l app.kubernetes.io/name=kubedb
NAME CREATED AT
elasticsearchautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:54Z
elasticsearchdashboards.dashboard.kubedb.com 2023-12-11T09:22:54Z
elasticsearches.kubedb.com 2023-12-11T09:22:54Z
elasticsearchopsrequests.ops.kubedb.com 2023-12-11T09:23:02Z
elasticsearchversions.catalog.kubedb.com 2023-12-11T09:20:43Z
etcds.kubedb.com 2023-12-11T09:23:01Z
etcdversions.catalog.kubedb.com 2023-12-11T09:20:44Z
kafkaopsrequests.ops.kubedb.com 2023-12-11T09:23:54Z
kafkas.kubedb.com 2023-12-11T09:23:11Z
kafkaversions.catalog.kubedb.com 2023-12-11T09:20:44Z
mariadbautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:54Z
mariadbopsrequests.ops.kubedb.com 2023-12-11T09:23:34Z
mariadbs.kubedb.com 2023-12-11T09:23:02Z
mariadbversions.catalog.kubedb.com 2023-12-11T09:20:44Z
memcacheds.kubedb.com 2023-12-11T09:23:02Z
memcachedversions.catalog.kubedb.com 2023-12-11T09:20:45Z
mongodbarchivers.archiver.kubedb.com 2023-12-11T09:23:12Z
mongodbautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:55Z
mongodbopsrequests.ops.kubedb.com 2023-12-11T09:23:06Z
mongodbs.kubedb.com 2023-12-11T09:23:04Z
mongodbversions.catalog.kubedb.com 2023-12-11T09:20:45Z
mysqlautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:55Z
mysqlopsrequests.ops.kubedb.com 2023-12-11T09:23:30Z
mysqls.kubedb.com 2023-12-11T09:23:05Z
mysqlversions.catalog.kubedb.com 2023-12-11T09:20:45Z
perconaxtradbautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:55Z
perconaxtradbopsrequests.ops.kubedb.com 2023-12-11T09:23:47Z
perconaxtradbs.kubedb.com 2023-12-11T09:23:06Z
perconaxtradbversions.catalog.kubedb.com 2023-12-11T09:20:46Z
pgbouncers.kubedb.com 2023-12-11T09:23:07Z
pgbouncerversions.catalog.kubedb.com 2023-12-11T09:20:46Z
postgresarchivers.archiver.kubedb.com 2023-12-11T09:23:15Z
postgresautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:55Z
postgreses.kubedb.com 2023-12-11T09:23:07Z
postgresopsrequests.ops.kubedb.com 2023-12-11T09:23:41Z
postgresversions.catalog.kubedb.com 2023-12-11T09:20:46Z
proxysqlautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:56Z
proxysqlopsrequests.ops.kubedb.com 2023-12-11T09:23:44Z
proxysqls.kubedb.com 2023-12-11T09:23:08Z
proxysqlversions.catalog.kubedb.com 2023-12-11T09:20:47Z
publishers.postgres.kubedb.com 2023-12-11T09:23:57Z
redisautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:56Z
redises.kubedb.com 2023-12-11T09:23:09Z
redisopsrequests.ops.kubedb.com 2023-12-11T09:23:37Z
redissentinelautoscalers.autoscaling.kubedb.com 2023-12-11T09:22:56Z
redissentinelopsrequests.ops.kubedb.com 2023-12-11T09:23:51Z
redissentinels.kubedb.com 2023-12-11T09:23:10Z
redisversions.catalog.kubedb.com 2023-12-11T09:20:47Z
subscribers.postgres.kubedb.com 2023-12-11T09:24:01Z
Deploy Kafka Cluster
We are going to Deploy Kafka Cluster by using KubeDB. First, let’s create a Namespace in which we will deploy Kafka.
$ kubectl create namespace demo
namespace/demo created
Here is the yaml of the Kafka CR we are going to use:
apiVersion: kubedb.com/v1alpha2
kind: Kafka
metadata:
name: kafka-cluster
namespace: demo
spec:
replicas: 3
version: 3.6.0
storage:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
storageClassName: standard
storageType: Durable
terminationPolicy: WipeOut
Let’s save this yaml configuration into kafka-cluster.yaml
Then create the above Kafka CR
$ kubectl apply -f kafka-cluster.yaml
kafka.kubedb.com/kafka-cluster created
In this yaml,
spec.version
field specifies the version of Kafka. Here, we are using Kafka3.6.0
. You can list the KubeDB supported versions of Kafka by running$ kubectl get kafkaversions
command.spec.storage.storageClassName
is the name of the StorageClass used to provision PVCs.spec.terminationPolicy
field is Wipeout means it will be deleted without restrictions. It can also be “Halt”, “Delete” and “DoNotTerminate”. Learn More about these checkout Termination Policy .
Once these are handled correctly and the Kafka object is deployed, you will see that the following objects are created:
$ kubectl get all,secret -n demo -l 'app.kubernetes.io/instance=kafka-cluster'
NAME READY STATUS RESTARTS AGE
pod/kafka-cluster-0 1/1 Running 0 5m22s
pod/kafka-cluster-1 1/1 Running 0 4m50s
pod/kafka-cluster-2 1/1 Running 0 4m11s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kafka-cluster-pods ClusterIP None <none> 9092/TCP,9093/TCP,29092/TCP 5m24s
NAME READY AGE
statefulset.apps/kafka-cluster 3/3 5m25s
NAME TYPE VERSION AGE
appbinding.appcatalog.appscode.com/kafka-cluster kubedb.com/kafka 3.6.0 5m25s
NAME TYPE DATA AGE
secret/kafka-cluster-admin-cred kubernetes.io/basic-auth 2 5m31s
secret/kafka-cluster-config Opaque 2 5m31s
Let’s check if the kafka-cluster
is ready to use,
$ kubectl get kafka -n demo kafka-cluster
NAME TYPE VERSION STATUS AGE
kafka-cluster kubedb.com/v1alpha2 3.6.0 Ready 3m48s
We have successfully deployed Kafka cluster in GKE.
Publish & Consume Messages with Kafka
Accessing Kafka Through CLI
In this section, we will now exec into one of the kafka brokers in interactive mode and then describe the broker metadata for the quorum.
$ kubectl exec -it -n demo kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$ kafka-metadata-quorum.sh --command-config $HOME/config/clientauth.properties --bootstrap-server localhost:9092 describe --status
ClusterId: 11ee-a481-4ab0c9c3652w
LeaderId: 0
LeaderEpoch: 7
HighWatermark: 1436
MaxFollowerLag: 0
MaxFollowerLagTimeMs: 0
CurrentVoters: [0,1,2]
CurrentObservers: []
We can see the important metadata information like clusterID, current leader ID, node IDs which are participating in leader election voting and IDs of those brokers who are observers. It is important to mention that each broker is assigned a numeric ID which is called its broker ID. The ID is assigned sequentially with respect to the host pod name.
Create a Topic
Let’s create a topic named music
with 3 partitions and a replication factor of 3. Describe the topic once it’s created. You will see the leader ID for each partition and their replica IDs along with in-sync-replicas(ISR).
$ kubectl exec -it -n demo kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$ kafka-topics.sh --create --bootstrap-server localhost:9092 --command-config $HOME/config/clientauth.properties --topic music --partitions 3 --replication-factor 3
Created topic music.
kafka@kafka-cluster-0:~$ kafka-topics.sh --describe --topic music --bootstrap-server localhost:9092 --command-config $HOME/config/clientauth.properties
Topic: music TopicId: 4QTWweCFSxaQmd1L-HERKA PartitionCount: 3 ReplicationFactor: 3 Configs: segment.bytes=1073741824,min.compaction.lag.ms=60000
Topic: music Partition: 0 Leader: 2 Replicas: 2,0,1 Isr: 2,0,1
Topic: music Partition: 1 Leader: 0 Replicas: 0,1,2 Isr: 0,1,2
Topic: music Partition: 2 Leader: 1 Replicas: 1,2,0 Isr: 1,2,0
Now, we are going to start a producer and a consumer for topic music
. Let’s use this current terminal for producing messages and open a new terminal for consuming messages. From the topic description we can see that the leader partition for partition 1 is 0 (the broker that we are on). If we produce messages to kafka-cluster-0
broker(brokerID=0) it will store those messages in partition 1 and --request-required-acks all
ensures that the message is durably stored on all replicas before the producer considers the message sent. Let’s produce messages in the producer terminal and consume them from the consumer terminal.
$ kubectl exec -it -n demo kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$ kafka-console-producer.sh --topic music --request-required-acks all --bootstrap-server localhost:9092 --producer.config $HOME/config/clientauth.properties
>Five Hundred Miles
>Annie's Song
>The Nights
$ kubectl exec -it -n demo kafka-cluster-0 -- bash
kafka@kafka-cluster-0:~$ kafka-console-consumer.sh --topic music --from-beginning --bootstrap-server localhost:9092 --consumer.config $HOME/config/clientauth.properties
Five Hundred Miles
Annie's Song
The Nights
Here we can see messages are coming to the consumer as you continue sending messages via producer. So, we have created a Kafka topic and used Kafka console producer and consumer for publishing and consuming messages successfully. More information about Run & Manage Kafka on Kubernetes can be found in Kafka Kubernetes
If you want to learn more about Kafka Ops Requests - Day 2 Lifecycle Management Using KubeDB you can have a look into that video below:
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