Microsoft Azure Kubernetes Service Deployment
This page is a step-by-step guide on how to deploy a GridGain cluster on Microsoft Azure Kubernetes Service.
In this tutorial, we will use StatefulSet to manage GridGain cluster in Kubernetes. We will create both in-memory and persistent clusters.
Creating the AKS Cluster
The first step is to configure the Azure Kubernetes Service (AKS) cluster by following one of the Microsoft guidelines:
In this guide, we’ll be using the Azure portal.
-
Create a Microsoft account if you do not have one. Navigate to https://portal.azure.com and choose Create a resource > Kubernetes Service > Create.
-
On the screen that appears, specify general parameters for your deployment, cluster name as "GridGainCluster", and resource group name as "GridGain".
-
On the same screen, pick the required number of nodes for your AKS cluster:
-
Configure other parameters as required.
-
When finished with the configuration, click the Review + create button.
-
Double check the configuration parameters and click Create. Give Azure some time to deploy the cluster.
-
Go to All Resources > GridGainCluster to view the state of the cluster.
Connecting to the AKS Cluster
To configure kubectl
to connect to your Kubernetes cluster, use the following command:
az aks get-credentials --resource-group GridGain --name GridGainCluster
If you encounter any problems, check out the official documentation.
Using the following command, check that all the nodes are in "Ready" state:
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
aks-agentpool-25545244-vmss000000 Ready agent 6h23m v1.14.8
aks-agentpool-25545244-vmss000001 Ready agent 6h23m v1.14.8
aks-agentpool-25545244-vmss000002 Ready agent 6h23m v1.14.8
Now you can start creating Kubernetes resources.
Kubernetes Configuration
Kubernetes configuration involves creating the following resources:
-
A namespace
-
A cluster role
-
A ConfigMap for the node configuration file
-
A ConfigMap for the license file if you use Enterprise or Ultimate Edition
-
A service to be used for discovery and load balancing when external apps connect to the cluster
-
A configuration for pods running GridGain nodes
Creating Namespace
Create a unique namespace for your deployment. In our case, the namespace is called “gridgain”.
Create the namespace using the following command:
kubectl create namespace gridgain
Creating Service
The Kubernetes service is used for auto-discovery and as a load-balancer for external applications that connect to your cluster.
Every time a new node is started (in a separate pod), the IP finder connects to the service via the Kubernetes API to obtain the list of the existing pods' addresses. The new node uses this addresses to discover all cluster nodes.
apiVersion: v1
kind: Service
metadata:
# The name must be equal to TcpDiscoveryKubernetesIpFinder.serviceName
name: gridgain-service
# The name must be equal to TcpDiscoveryKubernetesIpFinder.namespace
namespace: gridgain
labels:
app: gridgain
spec:
type: LoadBalancer
ports:
- name: rest
port: 8080
targetPort: 8080
- name: thinclients
port: 10800
targetPort: 10800
# Optional - remove 'sessionAffinity' property if the cluster
# and applications are deployed within Kubernetes
# sessionAffinity: ClientIP
selector:
# Must be equal to the label set for pods.
app: gridgain
status:
loadBalancer: {}
Create the service:
kubectl create -f service.yaml
Creating Cluster Role and Service Account
Create a service account:
kubectl create sa gridgain -n gridgain
A cluster role is used to grant access to pods. The following file is an example of a cluster role:
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: gridgain
namespace: gridgain
rules:
- apiGroups:
- ""
resources: # Here are the resources you can access
- pods
- endpoints
verbs: # That is what you can do with them
- get
- list
- watch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: gridgain
roleRef:
kind: ClusterRole
name: gridgain
apiGroup: rbac.authorization.k8s.io
subjects:
- kind: ServiceAccount
name: gridgain
namespace: gridgain
Run the following command to create the role and a role binding:
kubectl create -f cluster-role.yaml
Creating ConfigMap for Node Configuration File
We create a ConfigMap that keeps the node configuration file so that every node can use it. This allows you to keep a single instance of the configuration file for all nodes.
Let’s create a configuration file first. Choose one of the tabs below, depending on whether you use persistence or not.
We must use the TcpDiscoveryKubernetesIpFinder
IP finder for node discovery.
This IP finder connects to the service via the Kubernetes API and obtains the list of the existing pods' addresses. The new node uses these addresses to discover all other cluster nodes.
The file looks like this:
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<bean class="org.apache.ignite.configuration.IgniteConfiguration">
<property name="discoverySpi">
<bean class="org.apache.ignite.spi.discovery.tcp.TcpDiscoverySpi">
<property name="ipFinder">
<bean class="org.apache.ignite.spi.discovery.tcp.ipfinder.kubernetes.TcpDiscoveryKubernetesIpFinder">
<property name="namespace" value="gridgain"/>
<property name="serviceName" value="gridgain-service"/>
</bean>
</property>
</bean>
</property>
</bean>
</beans>
In the configuration file, we:
-
Enable native persistence and specify the
workDirectory
,walPath
, andwalArchivePath
. These directories are mounted in each pod that runs a GridGain node. Volume configuration is part of the pod configuration. -
Use the
TcpDiscoveryKubernetesIpFinder
IP finder. This IP finder connects to the service via the Kubernetes API and obtains the list of the existing pods' addresses. The new node uses these addresses to discover all other cluster nodes.
The file looks like this:
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<bean class="org.apache.ignite.configuration.IgniteConfiguration">
<property name="workDirectory" value="/opt/gridgain/work"/>
<property name="dataStorageConfiguration">
<bean class="org.apache.ignite.configuration.DataStorageConfiguration">
<property name="defaultDataRegionConfiguration">
<bean class="org.apache.ignite.configuration.DataRegionConfiguration">
<property name="persistenceEnabled" value="true"/>
</bean>
</property>
<property name="walPath" value="/opt/gridgain/wal"/>
<property name="walArchivePath" value="/opt/gridgain/walarchive"/>
</bean>
</property>
<property name="discoverySpi">
<bean class="org.apache.ignite.spi.discovery.tcp.TcpDiscoverySpi">
<property name="ipFinder">
<bean class="org.apache.ignite.spi.discovery.tcp.ipfinder.kubernetes.TcpDiscoveryKubernetesIpFinder">
<property name="namespace" value="gridgain"/>
<property name="serviceName" value="gridgain-service"/>
</bean>
</property>
</bean>
</property>
</bean>
</beans>
The namespace
and serviceName
properties of the IP finder must be the same as specified in the service configuration.
Add other properties as required for your use case.
To create the ConfigMap, run the following command in the directory with the node-configuration.xml
file.
kubectl create configmap gridgain-config -n gridgain --from-file=node-configuration.xml
Providing License File
If you use GridGain Enterprise or Ultimate Edition, you must provide the license file. You can provide the license file as a link to a remote resource, or you can mount the file to each pod.
License via URL
Use the LICENSE_URI
variable as described in the Docker documentation in the pod specification file.
See the example in the Creating Pod Configuration section.
License via ConfigMap
Create a ConfigMap from the license file by running the following command. The --from-file
option must point to an existing license file.
kubectl create configmap gridgain-license -n gridgain --from-file=gridgain-license.xml
Use this config map ('gridgain-license') to mount the license in the pod configuration. The file must be mounted under the path of the default license file available in the GRIDGAIN-HOME
directory.
See the example in the Creating Pod Configuration section below.
Creating Pod Configuration
Now we create a configuration for pods that use a StatefulSet.
Our configuration deploys 2 pods running GridGain Community Edition 8.9.15.
If you want to use Enterprise or Ultimate Edition, change the spec.template.spec.containers.image
property in the configuration file.
In the container’s configuration we:
-
Enable the “ignite-kubernetes” and “ignite-rest-http” modules.
-
Use the configuration file from the ConfigMap we created earlier.
-
Mount volumes for the work directory (where application data is stored), WAL files, and WAL archive.
-
Open a number of ports:
-
47100 — the communication port
-
47500 — the discovery port
-
49112 — the default JMX port
-
10800 — thin client/JDBC/ODBC port
-
8080 — REST API port
-
The StatefulSet configuration file might look like as follows:
# An example of a Kubernetes configuration for pod deployment.
apiVersion: apps/v1
kind: StatefulSet
metadata:
# Cluster name.
name: gridgain-cluster
namespace: gridgain
spec:
# The initial number of pods to be started by Kubernetes.
replicas: 2
serviceName: gridgain
selector:
matchLabels:
app: gridgain
template:
metadata:
labels:
app: gridgain
spec:
serviceAccountName: gridgain
terminationGracePeriodSeconds: 60000
containers:
# Custom pod name.
- name: gridgain-node
image: gridgain/community:8.9.15
env:
- name: OPTION_LIBS
value: ignite-kubernetes,ignite-rest-http
- name: CONFIG_URI
value: file:///opt/gridgain/config/node-configuration.xml
- name: JVM_OPTS
value: "-DIGNITE_WAL_MMAP=false -DIGNITE_WAIT_FOR_BACKUPS_ON_SHUTDOWN=true"
# if you want to provide the license file via URI, uncomment the following 2 lines
# - name: LICENSE_URI
# value: http://url_to_license_file
ports:
# Ports to open.
- containerPort: 47100 # communication SPI port
- containerPort: 47500 # discovery SPI port
- containerPort: 49112 # JMX port
- containerPort: 10800 # thin clients/JDBC driver port
- containerPort: 8080 # REST API
volumeMounts:
- mountPath: /opt/gridgain/config
name: config-vol
- mountPath: /opt/gridgain/work
name: work-vol
- mountPath: /opt/gridgain/wal
name: wal-vol
- mountPath: /opt/gridgain/walarchive
name: walarchive-vol
readinessProbe:
httpGet:
path: /ignite?cmd=probe
port: 8080
initialDelaySeconds: 5
failureThreshold: 3
periodSeconds: 10
timeoutSeconds: 10
livenessProbe:
httpGet:
path: /ignite?cmd=version
port: 8080
initialDelaySeconds: 5
failureThreshold: 3
periodSeconds: 10
timeoutSeconds: 10
# uncomment the following mount path if you want to provide a license
# the license must be mounted under this exact path
# - mountPath: /opt/gridgain/gridgain-license.xml
# subPath: gridgain-license.xml
# name: license-vol
securityContext:
fsGroup: 2000 # try removing this if you have permission issues
volumes:
- name: config-vol
configMap:
name: gridgain-config
# uncomment the following volume if you want to provide a license
# - name: license-vol
# configMap:
# name: gridgain-license
volumeClaimTemplates:
- metadata:
name: work-vol
spec:
accessModes: [ "ReadWriteOnce" ]
# storageClassName: "gridgain-persistence-storage-class"
resources:
requests:
storage: "1Gi" # make sure to provide enought space for your application data
- metadata:
name: wal-vol
spec:
accessModes: [ "ReadWriteOnce" ]
# storageClassName: "gridgain-wal-storage-class"
resources:
requests:
storage: "1Gi"
- metadata:
name: walarchive-vol
spec:
accessModes: [ "ReadWriteOnce" ]
# storageClassName: "gridgain-wal-storage-class"
resources:
requests:
storage: "1Gi"
Note the spec.volumeClaimTemplates
section, which defines persistent volumes provisioned by a persistent volume provisioner.
The volume type depends on the cloud provider.
You can have more control over the volume type by defining storage classes.
Create the StatefulSet by running the following command:
kubectl create -f statefulset.yaml
Check if the pods were created correctly:
$ kubectl get pods -n gridgain
NAME READY STATUS RESTARTS AGE
gridgain-cluster-5b69557db6-lcglw 1/1 Running 0 44m
gridgain-cluster-5b69557db6-xpw5d 1/1 Running 0 44m
Check the logs of the nodes:
$ kubectl logs gridgain-cluster-5b69557db6-lcglw -n gridgain
[14:33:50] __________ ________________
[14:33:50] / _/ ___/ |/ / _/_ __/ __/
[14:33:50] _/ // (7 7 // / / / / _/
[14:33:50] /___/\___/_/|_/___/ /_/ /___/
[14:33:50]
[14:33:50] ver. 8.7.8#20191129-sha1:6b3cc030
[14:33:50] 2019 Copyright(C) GridGain Systems, Inc. and Contributors
[14:33:50]
[14:33:50] Ignite documentation: http://gridgain.com
[14:33:50]
[14:33:50] Quiet mode.
[14:33:50] ^-- Logging to file '/opt/gridgain/work/log/ignite-b8622b65.0.log'
[14:33:50] ^-- Logging by 'JavaLogger [quiet=true, config=null]'
[14:33:50] ^-- To see **FULL** console log here add -DIGNITE_QUIET=false or "-v" to ignite.{sh|bat}
[14:33:50]
[14:33:50] OS: Linux 4.19.81 amd64
[14:33:50] VM information: OpenJDK Runtime Environment 1.8.0_212-b04 IcedTea OpenJDK 64-Bit Server VM 25.212-b04
[14:33:50] Please set system property '-Djava.net.preferIPv4Stack=true' to avoid possible problems in mixed environments.
[14:33:50] Initial heap size is 30MB (should be no less than 512MB, use -Xms512m -Xmx512m).
[14:33:50] Configured plugins:
[14:33:50] ^-- None
[14:33:50]
[14:33:50] Configured failure handler: [hnd=StopNodeOrHaltFailureHandler [tryStop=false, timeout=0, super=AbstractFailureHandler [ignoredFailureTypes=UnmodifiableSet [SYSTEM_WORKER_BLOCKED, SYSTEM_CRITICAL_OPERATION_TIMEOUT]]]]
[14:33:50] Message queue limit is set to 0 which may lead to potential OOMEs when running cache operations in FULL_ASYNC or PRIMARY_SYNC modes due to message queues growth on sender and receiver sides.
[14:33:50] Security status [authentication=off, tls/ssl=off]
[14:34:00] Nodes started on local machine require more than 80% of physical RAM what can lead to significant slowdown due to swapping (please decrease JVM heap size, data region size or checkpoint buffer size) [required=918MB, available=1849MB]
[14:34:01] Performance suggestions for grid (fix if possible)
[14:34:01] To disable, set -DIGNITE_PERFORMANCE_SUGGESTIONS_DISABLED=true
[14:34:01] ^-- Enable G1 Garbage Collector (add '-XX:+UseG1GC' to JVM options)
[14:34:01] ^-- Specify JVM heap max size (add '-Xmx[g|G|m|M|k|K]' to JVM options)
[14:34:01] ^-- Set max direct memory size if getting 'OOME: Direct buffer memory' (add '-XX:MaxDirectMemorySize=[g|G|m|M|k|K]' to JVM options)
[14:34:01] Refer to this page for more performance suggestions: https://apacheignite.readme.io/docs/jvm-and-system-tuning
[14:34:01]
[14:34:01] Data Regions Configured:
[14:34:01] ^-- default [initSize=256.0 MiB, maxSize=370.0 MiB, persistence=false, lazyMemoryAllocation=true]
[14:34:01]
[14:34:01] Ignite node started OK (id=b8622b65)
[14:34:01] Topology snapshot [ver=2, locNode=b8622b65, servers=2, clients=0, state=ACTIVE, CPUs=2, offheap=0.72GB, heap=0.88GB]
The string servers=2
in the last line indicates that the two nodes joined into a single cluster.
Readiness Probe set up
To set up a readiness probe uncomment the relevant section inside the yaml definitions below. A special REST command (PROBE) is used to determine when an Ignite Kernal has started.
Liveness Probe
To set up a liveness probe uncomment the relevant section inside the yaml definitions below. The REST command (VERSION) is used to verify that Ignite is running properly.
Activating the Cluster
If you use a stateless cluster, skip this step: a cluster without persistence does not require activation.
If you are using persistence, you must activate the cluster after it is started. To do that, connect to one of the pods:
kubectl exec -it <pod_name> -n gridgain -- /bin/bash
Execute the following command:
/opt/gridgain/bin/control.sh --activate
You can also activate the cluster using the REST API. Refer to the Connecting to the Cluster section for details about connection to the cluster’s REST API.
Scaling the Cluster
You can add more nodes to the cluster by using the kubectl scale
command.
In the following example, we bring up one more node (we had two).
To scale your StatefulSet, run the following command:
kubectl scale sts gridgain-cluster --replicas=3 -n gridgain
To scale your StatefulSet, run the following command:
kubectl scale sts gridgain-cluster --replicas=3 -n gridgain
After scaling the cluster, change the baseline topology accordingly.
Connecting to the Cluster
If your application is also running in Kubernetes, you can use either thin clients or client nodes to connect to the cluster.
Get the public IP of the service:
$ kubectl describe svc gridgain-service -n gridgain
Name: gridgain-service
Namespace: gridgain
Labels: app=gridgain
Annotations: <none>
Selector: app=gridgain
Type: LoadBalancer
IP: 10.0.144.19
LoadBalancer Ingress: 13.86.186.145
Port: rest 8080/TCP
TargetPort: 8080/TCP
NodePort: rest 31912/TCP
Endpoints: 10.244.1.5:8080
Port: thinclients 10800/TCP
TargetPort: 10800/TCP
NodePort: thinclients 31345/TCP
Endpoints: 10.244.1.5:10800
Session Affinity: None
External Traffic Policy: Cluster
You can use the LoadBalancer Ingress
address to connect to one of the open ports.
The ports are also listed in the output of the command.
Connecting Client Nodes
A client node requires connection to every node in the cluster. The only way to achieve this is to start a client node within Kubernetes.
You need to configure the discovery mechanism to use TcpDiscoveryKubernetesIpFinder
, as described in the Creating ConfigMap for Node Configuration File section.
Connecting with Thin Clients
The following code snippet illustrates how to connect to your cluster using the java thin client. You can use other thin clients in the same way. Note that we use the external IP address (LoadBalancer Ingress) of the service.
ClientConfiguration cfg = new ClientConfiguration().setAddresses("13.86.186.145:10800");
IgniteClient client = Ignition.startClient(cfg);
ClientCache<Integer, String> cache = client.getOrCreateCache("test_cache");
cache.put(1, "first test value");
System.out.println(cache.get(1));
client.close();
Connecting to REST API
Connect to the cluster’s REST API as follows:
$ curl http://13.86.186.145:8080/ignite?cmd=version
{"successStatus":0,"error":null,"response":"8.9.15","sessionToken":null}
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