| title | description | lead | date | lastmod | draft | images | menu | weight | toc | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Quick Start |
One page summary of how to start a new ArtemisCloud project. |
One page summary of how to start a new ArtemisCloud project. |
2020-11-16 13:59:39 +0100 |
2020-11-16 13:59:39 +0100 |
false |
|
110 |
true |
At the moment these instructions have been tested against Kubernetes 1.25 and above, other kubernetes or OpenShift environments may require minor adjustment.
One important note about operators in general is that to get the operator installed requires cluster-admin level privileges. Once installed, a regular user should be able to install ActiveMQ Artemis via the provided custom resource.
Currently the operator is tested against kubernetes v1.25 and above. You can install a Minikube or a CodeReady Containers(CRC) to deploy the operator.
To launch the operator you will need to clone the activemq-artemis-operator and checkout the main branch.
(Optional) Follow the [building]({{< ref "../help/building.md" >}}) instructions, tag, and push it into your project namespace.
Create the namespace activemq-artemis-operator and save it for all subsequent kubectl commands
$ kubectl create namespace activemq-artemis-operator
$ kubectl config set-context --current --namespace activemq-artemis-operatorTo deploy the operator in the current namespace activemq-artemis-operator simply run:
$ ./deploy/install_opr.shor if you have built your own image, change the image defined in deploy/operator.yaml before deploy the operator.
The operator will be deployed into the current namespace and watches the same namespace.
To watch specific namespaces or all namespaces, run the command below and it will ask which namespaces you want to watch.
$ ./deploy/cluster_wide_install_opr.shAt this point you should see the activemq-artemis-operator starting up and if you check the pods you should see something like
$ kubectl get pod -n activemq-artemis-operator
NAME READY STATUS RESTARTS AGE
activemq-artemis-controller-manager-5ff459cd95-kn22m 1/1 Running 0 70m
Now that the operator is running and listening for changes related to our crd we can deploy our artemis single example which looks like
apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
name: artemis-broker
Note in particular the spec.image which identifies the container image to use to launch the AMQ Broker. If it's empty, 'placeholder' or not defined it will get the latest default image url from deploy/operator.yaml where a list of supported broker image are defined as environment variables.
To deploy the broker simply execute
$ kubectl create -f examples/artemis/artemis_single.yaml -n activemq-artemis-operator
activemqartemis.broker.amq.io/artemis-broker created
In a moment you should see one broker pod is created alongside the operator pod:
$ kubectl get pod -n activemq-artemis-operator
NAME READY STATUS RESTARTS AGE
activemq-artemis-controller-manager-5ff459cd95-kn22m 1/1 Running 0 128m
artemis-broker-ss-0 1/1 Running 0 23m
The spec.deploymentPlan.size controls how many broker pods you want to deploy to the cluster. You can change this value and apply it to a running deployment to scale up and scale down the broker pods.
For example if you want to scale up the above deployment to 2 pods, modify the size to 2:
examples/artemis/artemis_single.yaml
apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
name: artemis-broker
spec:
deploymentPlan:
size: 2
and apply it:
$ kubectl apply -f examples/artemis/artemis_single.yaml -n activemq-artemis-operator
activemqartemis.broker.amq.io/artemis-broker configured
and you will get 2 broker pods in the cluster
$ kubectl get pod -n activemq-artemis-operator
NAME READY STATUS RESTARTS AGE
activemq-artemis-controller-manager-5ff459cd95-kn22m 1/1 Running 0 140m
artemis-broker-ss-0 1/1 Running 0 35m
artemis-broker-ss-1 1/1 Running 0 69s
You can scale down the deployment in similar manner by reducing the size and apply it again.
By default if broker pods are scaled to more than one then the broker pods form a broker cluster, meaning connect to each other and redistribute messages using default 'ON_DEMAND' policy.
To undeploy the broker we simply execute
$ kubectl delete -f examples/artemis/artemis_single.yaml -n activemq-artemis-operator
activemqartemis.broker.amq.io "artemis-broker" deleted
Users can use the activemqartemisaddress CRD to create and remove queues/address on a running broker pod.
Having a deployed broker pod is necessary to apply the commands in this section.
Assuming you have one already running, you can then deploy an activemqartemisaddress resource from the examples dir:
address-queue.yaml:
apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemisAddress
metadata:
name: artemis-address-queue
spec:
addressName: myAddress0
queueName: myQueue0
routingType: anycast
removeFromBrokerOnDelete: true
and the deploy command:
$ kubectl create -f examples/address/address_queue.yaml -n activemq-artemis-operator
activemqartemisaddress.broker.amq.io/artemis-address-queue created
When it is deployed it will create a queue named myQueue0 on an address myAddress0 with anycast routing type, like:
$ kubectl exec artemis-broker-ss-0 --container artemis-broker-container -- amq-broker/bin/artemis queue stat
Connection brokerURL = tcp://artemis-broker-ss-0.artemis-broker-hdls-svc.activemq-artemis-operator.svc.cluster.local:61616
|NAME |ADDRESS |CONSUMER_COUNT|MESSAGE_COUNT|MESSAGES_ADDED|DELIVERING_COUNT|MESSAGES_ACKED|SCHEDULED_COUNT|ROUTING_TYPE|
|DLQ |DLQ |0 |0 |0 |0 |0 |0 |ANYCAST |
|ExpiryQueue |ExpiryQueue |0 |0 |0 |0 |0 |0 |ANYCAST |
|activemq.management.27...|activemq.management.27...|1 |0 |0 |0 |0 |0 |MULTICAST |
|myQueue0 |myAddress0 |0 |0 |0 |0 |0 |0 |ANYCAST |
The spec.removeFromBrokerOnDelete controls how to deal with the created queue/address resources when you delete the above custom resource:
$ kubectl delete -f examples/address/address_queue.yaml -n activemq-artemis-operator
activemqartemisaddress.broker.amq.io "artemis-address-queue" deleted
If spec.removeFromBrokerOnDelete is true, the queue/address resources will be deleted from broker. If it is false, the queue/address created by this custome resource will be kept in broker even after the custom resource has been deleted.
You can check if the queue was removed using the command below:
$ kubectl exec artemis-broker-ss-0 --container artemis-broker-container -- amq-broker/bin/artemis queue stat
Connection brokerURL = tcp://artemis-broker-ss-0.artemis-broker-hdls-svc.activemq-artemis-operator.svc.cluster.local:61616
|NAME |ADDRESS |CONSUMER_COUNT|MESSAGE_COUNT|MESSAGES_ADDED|DELIVERING_COUNT|MESSAGES_ACKED|SCHEDULED_COUNT|ROUTING_TYPE|
|DLQ |DLQ |0 |0 |0 |0 |0 |0 |ANYCAST |
|ExpiryQueue |ExpiryQueue |0 |0 |0 |0 |0 |0 |ANYCAST |
|activemq.management.d9...|activemq.management.d9...|1 |0 |0 |0 |0 |0 |MULTICAST |
When a broker pod is being scaled down, a scaledown controller can be deployed aumatically to handle message migration from the scaled down broker pod to an active broker.
When the scale down controller detects the event it starts a drainer pod. The drainer pod will contact one of the live pods in the cluster and drain the messages over to it. After the draining is complete it shuts down itself.
The message draining only works when you enabled persistence and messageMigration on broker custome resource. For example, you can deploy a cluster from our broker cluster persistence example
apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
name: artemis-broker
spec:
deploymentPlan:
size: 2
persistenceEnabled: true
messageMigration: true
To demonstrate the message draining first deploy the above custom resource (assuming the operator is running):
$ kubectl create -f ./examples/artemis/artemis_cluster_persistence.yaml -n activemq-artemis-operator
activemqartemis.broker.amq.io/artemis-broker created
You shall see 2 broker pods are created.
$ kubectl get pod -n activemq-artemis-operator
NAME READY STATUS RESTARTS AGE
activemq-artemis-controller-manager-5ff459cd95-kn22m 1/1 Running 0 3h19m
artemis-broker-ss-0 1/1 Running 0 89s
artemis-broker-ss-1 1/1 Running 0 53s
Now we'll use broker's cli tool to send some messages to each broker pod.
First send 100 messages to broker artemis-broker-ss-0:
$ kubectl exec artemis-broker-ss-0 -- amq-broker/bin/artemis producer --url tcp://artemis-broker-ss-0:61616 --message-count=100
Defaulted container "artemis-broker-container" out of: artemis-broker-container, artemis-broker-container-init (init)
Connection brokerURL = tcp://artemis-broker-ss-0:61616
Producer ActiveMQQueue[TEST], thread=0 Started to calculate elapsed time ...
Producer ActiveMQQueue[TEST], thread=0 Produced: 100 messages
Producer ActiveMQQueue[TEST], thread=0 Elapsed time in second : 0 s
Producer ActiveMQQueue[TEST], thread=0 Elapsed time in milli second : 409 milli seconds
then send another 100 messages to broker artemis-broker-ss-1
$ kubectl exec artemis-broker-ss-1 -- amq-broker/bin/artemis producer --user x --password y --url tcp://artemis-broker-ss-1:61616 --message-count=100
Defaulted container "artemis-broker-container" out of: artemis-broker-container, artemis-broker-container-init (init)
Connection brokerURL = tcp://artemis-broker-ss-1:61616
Producer ActiveMQQueue[TEST], thread=0 Started to calculate elapsed time ...
Producer ActiveMQQueue[TEST], thread=0 Produced: 100 messages
Producer ActiveMQQueue[TEST], thread=0 Elapsed time in second : 0 s
Producer ActiveMQQueue[TEST], thread=0 Elapsed time in milli second : 466 milli seconds
Now each of the 2 brokers has 100 messages.
$ kubectl exec artemis-broker-ss-0 --container artemis-broker-container -- amq-broker/bin/artemis queue stat
Connection brokerURL = tcp://artemis-broker-ss-0.artemis-broker-hdls-svc.activemq-artemis-operator.svc.cluster.local:61616
|NAME |ADDRESS |CONSUMER_COUNT|MESSAGE_COUNT|MESSAGES_ADDED|DELIVERING_COUNT|MESSAGES_ACKED|SCHEDULED_COUNT|ROUTING_TYPE|
|DLQ |DLQ |0 |0 |0 |0 |0 |0 |ANYCAST |
|ExpiryQueue |ExpiryQueue |0 |0 |0 |0 |0 |0 |ANYCAST |
|TEST |TEST |0 |100 |100 |0 |0 |0 |ANYCAST |
|activemq.management.14...|activemq.management.14...|1 |0 |0 |0 |0 |0 |MULTICAST |
$ kubectl exec artemis-broker-ss-1 --container artemis-broker-container -- amq-broker/bin/artemis queue stat
Connection brokerURL = tcp://artemis-broker-ss-1.artemis-broker-hdls-svc.activemq-artemis-operator.svc.cluster.local:61616
|NAME |ADDRESS |CONSUMER_COUNT|MESSAGE_COUNT|MESSAGES_ADDED|DELIVERING_COUNT|MESSAGES_ACKED|SCHEDULED_COUNT|ROUTING_TYPE|
|DLQ |DLQ |0 |0 |0 |0 |0 |0 |ANYCAST |
|ExpiryQueue |ExpiryQueue |0 |0 |0 |0 |0 |0 |ANYCAST |
|TEST |TEST |0 |100 |100 |0 |0 |0 |ANYCAST |
|activemq.management.2a...|activemq.management.2a...|1 |0 |0 |0 |0 |0 |MULTICAST |
Modify the ./examples/artemis/artemis_cluster_persistence.yaml to scale down to one broker
apiVersion: broker.amq.io/v1beta1
kind: ActiveMQArtemis
metadata:
name: artemis-broker
spec:
deploymentPlan:
size: 1
persistenceEnabled: true
messageMigration: true
and re-apply it:
$ kubectl apply -f ./examples/artemis/artemis_cluster_persistence.yaml -n activemq-artemis-operator
activemqartemis.broker.amq.io/artemis-broker configured
The broker pods will be reduced to only one
$ kubectl get pod -n activemq-artemis-operator
NAME READY STATUS RESTARTS AGE
activemq-artemis-controller-manager-5ff459cd95-kn22m 1/1 Running 0 3h57m
artemis-broker-ss-0 1/1 Running 0 39m
Now the messages on the broker pod artemis-broker-ss-1 should have been all migrated to pod artemis-broker-ss-0. Use the broker cli tool again to check:
$ kubectl exec artemis-broker-ss-0 -- amq-broker/bin/artemis queue stat --url tcp://artemis-broker-ss-0:61616
Defaulted container "artemis-broker-container" out of: artemis-broker-container, artemis-broker-container-init (init)
Connection brokerURL = tcp://artemis-broker-ss-0:61616
|NAME |ADDRESS |CONSUMER_COUNT |MESSAGE_COUNT |MESSAGES_ADDED |DELIVERING_COUNT |MESSAGES_ACKED |SCHEDULED_COUNT |ROUTING_TYPE |
|$.artemis.internal.sf.my-cluster.941368e6-79c9-11ec-b4c8-0242ac11000b|$.artemis.internal.sf.my-cluster.941368e6-79c9-11ec-b4c8-0242ac11000b|0 |0 |0 |0 |0 |0 |MULTICAST |
|DLQ |DLQ |0 |0 |0 |0 |0 |0 |ANYCAST |
|ExpiryQueue |ExpiryQueue |0 |0 |0 |0 |0 |0 |ANYCAST |
|TEST |TEST |0 |200 |200 |0 |0 |0 |ANYCAST |
|activemq.management.91b87b03-0c70-4630-beb8-6a7919a4923a|activemq.management.91b87b03-0c70-4630-beb8-6a7919a4923a|1 |0 |0 |0 |0 |0 |MULTICAST |
You can see the queue TEST has 200 messages now.
ActiveMQArtemis custom resource allows you to define extraMounts which will mount secrets and/or configmaps with configuration information as files to be used in the artemis configuration. One usage of extraMounts is to redefine the log4j file used by artemis to log information. Here you can find details about artemis logging configuration.
To use a custom logging you will need a log4j configuration file. The default log4j configuration file can be used as an initial example and can be downloaded from here
Assuming you already have the operator deployed, in our example we are going to modify the default logging file and enable the audit logging. You will need to modify the log4j2.properties file and change the lines as below:
$ sed -i 's/logger.audit_base.level = OFF/logger.audit_base.level = INFO/' log4j2.properties
$ sed -i 's/logger.audit_resource.level = OFF/logger.audit_resource.level = INFO/' log4j2.properties
$ sed -i 's/logger.audit_message.level = OFF/logger.audit_message.level = INFO/' log4j2.propertiesThen you will need to create configMap or a secret in your namespace. The configMap or secret name must have a suffix of -logging-config and the key must be logging.properties
$ kubectl create secret generic newlog4j-logging-config --from-file=logging.properties=log4j2.properties -n activemq-artemis-operator
secret/newlog4j-logging-config created
After the secret creation it should be like this:
$ kubectl describe secret newlog4j-logging-config -n activemq-artemis-operator
Name: newlog4j-logging-config
Namespace: activemq-artemis-operator
Labels: <none>
Annotations: <none>
Type: Opaque
Data
====
logging.properties: 2687 bytes
The next step is to define the extraMount in the ActiveMQArtemis custom resource like in our example and deploy it.
$ kubectl create -f ./examples/artemis/artemis_custom_logging_secret.yaml -n activemq-artemis-operator
activemqartemis.broker.amq.io/artemis-broker-logging created
Then you should be able to see some audit log entries after the artemis start:
$ kubectl logs artemis-broker-logging-ss-0 -n activemq-artemis-operator |grep audit
Defaulted container "artemis-broker-logging-container" out of: artemis-broker-logging-container, artemis-broker-logging-container-init (init)
2023-11-08 20:02:46,914 INFO [org.apache.activemq.audit.base] AMQ601019: User anonymous@internal is getting mbean info on target resource: org.apache.activemq.artemis.core.server.management.impl.HawtioSecurityControlImpl@7a26928a
2023-11-08 20:02:47,115 INFO [org.apache.activemq.audit.base] AMQ601019: User anonymous@internal is getting mbean info on target resource: org.apache.activemq.artemis.core.management.impl.JGroupsFileBroadcastGroupControlImpl@72725ee1
2023-11-08 20:02:49,164 INFO [org.apache.activemq.audit.base] AMQ601019: User anonymous@internal is getting mbean info on target resource: org.apache.activemq.artemis.core.management.impl.ClusterConnectionControlImpl@3cb8c8ce
2023-11-08 20:02:49,188 INFO [org.apache.activemq.audit.base] AMQ601138: User anonymous@internal is getting notification info on target resource: null
2023-11-08 20:02:49,188 INFO [org.apache.activemq.audit.base] AMQ601019: User anonymous@internal is getting mbean info on target resource: org.apache.activemq.artemis.core.management.impl.ActiveMQServerControlImpl@124ac145
You can also do the same using configMaps instead of secrets. Just create a configMap like:
$ kubectl create configmap newlog4j-logging-config --from-file=logging.properties=log4j2.properties -n activemq-artemis-operator
secret/newlog4j-logging-config created
and use the example
Run this command to undeploy the operator
$ ./deploy/undeploy_all.sh