Installing GridGain 9 on Kubernetes using Helm Chart
This guide walks you through deploying a GridGain 9 cluster on Kubernetes using Kubernetes Helm Chart.
Prerequisites
-
Kubernetes cluster version 1.26 or more recent
-
Helm version 3 or more recent
-
PersistentVolume provisioner support in the persistence configuration
Installing Helm Chart
Step 1: Add the Helm Repository
First, add the Helm chart repository with the following commands:
helm repo add gridgain https://gridgain.github.io/helm-charts/
helm repo updateStep 2: Install the Helm Chart
Install the chart with the default configuration:
helm install my-release gridgain/gridgain9This installs GridGain 9 on your Kubernetes cluster.
Configuring Installation
Customize Installation
To customize your installation, use --set flag to override individual settings or provide your own values.yaml file:
helm install my-release gridgain/gridgain -f values.yamlCustom Configuration for GridGain
You can provide custom configuration for GridGain by passing configuration parameters in the values.yaml file.
values.yaml
# Make default config from file null to provide custom config as a plaintext
configMapsFromFile:
gridgain-config: null
configMaps:
gridgain-config:
name: gridgain-config.conf
path: /opt/gridgain/etc/gridgain-config.conf
subpath: gridgain-config.conf
# Provide any custom gg config below
content: |
ignite {
clientConnector {
connectTimeout=5000
idleTimeout=0
listenAddress=""
metricsEnabled=true
port="{{ .Values.services.headless.ports.rest }}"
sendServerExceptionStackTraceToClient=false
ssl {
ciphers=""
clientAuth=none
enabled=false
keyStore {
password=""
path=""
type=PKCS12
}
trustStore {
password=""
path=""
type=PKCS12
}
}
}
compute {
queueMaxSize=2147483647
statesLifetimeMillis=60000
threadPoolSize=10
threadPoolStopTimeoutMillis=10000
}
criticalWorkers {
livenessCheckInterval=200
maxAllowedLag=500
nettyThreadsHeartbeatInterval=100
}
deployment {
deploymentLocation=deployment
}
eviction {
checkInterval=60000
}
expiration {
batchSize=1000
checkInterval=600000
parallelismLevel=1
}
failureHandler {
handler {
ignoredFailureTypes=[
systemWorkerBlocked,
systemCriticalOperationTimeout
]
type=noop
}
}
network {
fileTransfer {
chunkSize=1048576
maxConcurrentRequests=4
responseTimeout=10000
threadPoolSize=8
}
inbound {
soBacklog=128
soKeepAlive=true
soLinger=0
soReuseAddr=true
tcpNoDelay=true
}
listenAddress=""
membership {
failurePingInterval=1000
membershipSyncInterval=30000
scaleCube {
failurePingRequestMembers=3
gossipInterval=200
gossipRepeatMult=3
membershipSuspicionMultiplier=5
metadataTimeout=3000
}
}
nodeFinder: {
netClusterNodes: [
# Kubernetes service to access the GridGain 9 cluster on the Kubernetes network
"{{ include "gridgain9.fullname" . }}-headless:{{ .Values.services.headless.ports.cluster }}"
]
}
outbound {
soKeepAlive=true
soLinger=0
tcpNoDelay=true
}
port="{{ .Values.services.headless.ports.cluster }}"
shutdownQuietPeriod=0
shutdownTimeout=15000
ssl {
ciphers=""
clientAuth=none
enabled=false
keyStore {
password=""
path=""
type=PKCS12
}
trustStore {
password=""
path=""
type=PKCS12
}
}
}
raft {
fsync=false
installSnapshotTimeout=300000
logStripesCount=4
logYieldStrategy=false
responseTimeout=3000
retryDelay=200
retryTimeout=10000
stripes=10
volatileRaft {
logStorageBudget {
name=unlimited
}
}
}
sql {
execution {
threadCount=4
}
nodeMemoryQuota="60%"
offloadingDataDir="sql_offloading"
offloadingDataLimit="0g"
planner {
threadCount=4
}
}
storage {
engines {
aimem {
pageSize=16384
}
aipersist {
checkpoint {
checkpointDelayMillis=200
checkpointThreads=4
compactionThreads=4
interval=180000
intervalDeviation=40
logReadLockThresholdTimeout=0
readLockTimeout=10000
useAsyncFileIoFactory=true
}
pageSize=16384
}
rocksdb {
flushDelayMillis=100
}
}
profiles=[
{
engine=aipersist
name=default
replacementMode=CLOCK
size=2147483648
}
]
}
system {
cmgPath=""
metastoragePath=""
partitionsBasePath=""
partitionsLogPath=""
}
}Custom License
To install GridGain with a custom license, you can use the license key.
values.yaml
license:
# -- path inside GridGain container to mount the file with license
mountPath: /opt/gridgain/etc/license.conf
# -- Create secret from raw content passed
createSecret:
mountPath: /opt/gridgain/etc
# -- License raw content
content: |
ignite {
license {
content:"<Put your license here>"
}
}Authentication Configuration
To configure authentication in GridGain 9, add the following block to your values.yaml file.
For detailed setup instructions, see the Authentication chapter in the GridGain documentation.
values.yaml
license:
# -- path inside GridGain container to mount the file with license
mountPath: /opt/gridgain/etc/license.conf
# -- Create secret from raw content passed
createSecret:
mountPath: /opt/gridgain/etc
# -- License raw content
content: |
ignite {
security {
enabled:true,
authentication.providers:[{
name:default,
type:basic,
users:[
{
username:ignite,
displayName:administrator,
password:ignite,
roles:["system"]
}
]
}]
}
license {
content:"<Put your license here>"
}
}Volume Configuration
To configure persistent storage or attach custom volumes to GridGain, define the volume mounts and persistence settings in values.yaml.
values.yaml
persistence:
volumes:
persistence:
enabled: true
mountPath: /persistence
size: 8Gi
accessModes:
- ReadWriteOnce
# Make default config from file null to provide custom config as a plaintext
configMapsFromFile:
gridgain-config: null
configMaps:
gridgain-config:
name: gridgain-config.conf
path: /opt/gridgain/etc/gridgain-config.conf
subpath: gridgain-config.conf
# Provide any custom gg config below
content: |
ignite {
clientConnector {
connectTimeout=5000
idleTimeout=0
listenAddress=""
metricsEnabled=true
port="{{ .Values.services.headless.ports.rest }}"
sendServerExceptionStackTraceToClient=false
ssl {
ciphers=""
clientAuth=none
enabled=false
keyStore {
password=""
path=""
type=PKCS12
}
trustStore {
password=""
path=""
type=PKCS12
}
}
}
compute {
queueMaxSize=2147483647
statesLifetimeMillis=60000
threadPoolSize=10
threadPoolStopTimeoutMillis=10000
}
criticalWorkers {
livenessCheckInterval=200
maxAllowedLag=500
nettyThreadsHeartbeatInterval=100
}
deployment {
deploymentLocation=deployment
}
failureHandler {
handler {
ignoredFailureTypes=[
systemWorkerBlocked,
systemCriticalOperationTimeout
]
type=noop
}
}
network {
fileTransfer {
chunkSize=1048576
maxConcurrentRequests=4
responseTimeout=10000
threadPoolSize=8
}
inbound {
soBacklog=128
soKeepAlive=true
soLinger=0
soReuseAddr=true
tcpNoDelay=true
}
listenAddress=""
membership {
failurePingInterval=1000
membershipSyncInterval=30000
scaleCube {
failurePingRequestMembers=3
gossipInterval=200
gossipRepeatMult=3
membershipSuspicionMultiplier=5
metadataTimeout=3000
}
}
nodeFinder: {
netClusterNodes: [
# Kubernetes service to access the GridGain 9 cluster on the Kubernetes network
"{{ include "gridgain9.fullname" . }}-headless:{{ .Values.services.headless.ports.cluster }}"
]
}
outbound {
soKeepAlive=true
soLinger=0
tcpNoDelay=true
}
port="{{ .Values.services.headless.ports.cluster }}"
shutdownQuietPeriod=0
shutdownTimeout=15000
ssl {
ciphers=""
clientAuth=none
enabled=false
keyStore {
password=""
path=""
type=PKCS12
}
trustStore {
password=""
path=""
type=PKCS12
}
}
}
raft {
fsync=false
installSnapshotTimeout=300000
logStripesCount=4
logYieldStrategy=false
responseTimeout=3000
retryDelay=200
retryTimeout=10000
stripes=10
volatileRaft {
logStorageBudget {
name=unlimited
}
}
}
sql {
execution {
threadCount=4
}
nodeMemoryQuota="60%"
offloadingDataDir="sql_offloading"
offloadingDataLimit="0g"
planner {
threadCount=4
}
}
storage {
engines {
aimem {
pageSize=16384
}
aipersist {
checkpoint {
checkpointDelayMillis=200
checkpointThreads=4
compactionThreads=4
interval=180000
intervalDeviation=40
logReadLockThresholdTimeout=0
readLockTimeout=10000
useAsyncFileIoFactory=true
}
pageSize=16384
}
rocksdb {
flushDelayMillis=100
}
}
profiles=[
{
engine=aipersist
name=default
replacementMode=CLOCK
size=2147483648
}
]
}
system {
cmgPath=""
metastoragePath=""
partitionsBasePath=""
partitionsLogPath=""
}
}KEDA Configuration
You can configure KEDA scaling for your clusters in the following way:
-
Add Helm repositories:
helm repo add kedacore https://kedacore.github.io/charts helm repo add prometheus-community https://prometheus-community.github.io/helm-charts helm repo update -
Install KEDA:
helm install keda kedacore/keda --namespace keda --create-namespace -
Install Prometheus (if not already installed):
helm install prometheus prometheus-community/kube-prometheus-stack --namespace monitoring --create-namespace -
Deploy GridGain9 with KEDA autoscaling:
helm install gridgain9 ./charts/gridgain9 -f examples/keda-autoscaling/values.yaml --namespace gridgain --create-namespaceThe example below shows how to set the values.yaml file:
values.yaml
# Example values for GridGain9 with KEDA autoscaling and JMX metrics
# This example shows how to configure GridGain9 with KEDA-based autoscaling
# and Prometheus metrics scraping using ServiceMonitor
# Enable JMX metrics exposure
jmx:
enabled: true
port: 9404
agent:
image: "busybox:1.36"
pullPolicy: IfNotPresent
resources:
limits:
cpu: "100m"
memory: "128Mi"
requests:
cpu: "50m"
memory: "64Mi"
config: |
lowercaseOutputName: true
lowercaseOutputLabelNames: true
resources:
limits:
cpu: "1"
memory: 4Gi
requests:
cpu: "1"
memory: 4Gi
extraEnvVars:
- name: GRIDGAIN9_EXTRA_JVM_ARGS
value: "-javaagent:/agent/jmx.jar=9404:/opt/jmx/jmx.yaml -Xms1g -Xmx3g -XX:MaxMetaspaceSize=256m"
# ServiceMonitor configuration for Prometheus
serviceMonitor:
enabled: true
interval: 30s
scrapeTimeout: 10s
path: /metrics
port: metrics
labels:
release: prometheus
# KEDA ScaledObject configuration
keda:
enabled: true
pollingInterval: 30
cooldownPeriod: 300
minReplicaCount: 1
maxReplicaCount: 10
triggers:
- type: prometheus
name: heap-memory-usage
metadata:
serverAddress: http://prometheus-kube-prometheus-prometheus.monitoring.svc.cluster.local:9090
query: |
avg(jvm_memory_committed_bytes{area="heap", job="gridgain-gridgain9-headless"} / jvm_memory_max_bytes{area="heap", job="gridgain-gridgain9-headless"})
threshold: "0.5"
- type: prometheus
name: nonheap-memory-usage
metadata:
serverAddress: http://prometheus-kube-prometheus-prometheus.monitoring.svc.cluster.local:9090
query: |
avg(jvm_memory_committed_bytes{area="nonheap", job="gridgain-gridgain9-headless"} / jvm_memory_max_bytes{area="nonheap", job="gridgain-gridgain9-headless"})
threshold: "0.7"
# License configuration (example)
license:
mountPath: /opt/gridgain/etc/license.conf
createSecret:
mountPath: /opt/gridgain/etc
content: |
{"edition":"ULTIMATE"...}Updating Installation
To update your GridGain installation with new configuration or values:
-
Modify the desired settings in your
values.yamlfile; -
Apply the changes using the Helm upgrade command:
helm upgrade my-release gridgain/gridgain9 -f values.yaml
Uninstalling GridGain
To remove the installation from your Kubernetes cluster, use the following command:
helm uninstall my-releaseLimitations and Considerations
When running GridGain 9 in a Kubernetes environment, the node configuration becomes read-only and cannot be modified by using the gridgain9 node config update CLI command. This is by design, as node configuration is managed via Kubernetes resources.
Getting Help
For more information about available options and values, refer to the Helm chart documentation on Artifact Hub.
If you have questions or concerns, open an issue in our GitHub repository.
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