DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Rapidly Develop Java Microservices on Kubernetes With Telepresence
  • Running Axon Server in Docker
  • Keep Your Application Secrets Secret
  • High-Performance Java Serialization to Different Formats

Trending

  • Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake
  • How AI Agents Are Transforming Enterprise Automation Architecture
  • Understanding IEEE 802.11(Wi-Fi) Encryption and Authentication: Write Your Own Custom Packet Sniffer
  • Mastering Fluent Bit: Installing and Configuring Fluent Bit on Kubernetes (Part 3)
  1. DZone
  2. Coding
  3. Languages
  4. Java High Availability With WildFly on Kubernetes

Java High Availability With WildFly on Kubernetes

By 
Mauricio Magnani user avatar
Mauricio Magnani
·
Jul. 17, 20 · Tutorial
Likes (4)
Comment
Save
Tweet
Share
10.4K Views

Join the DZone community and get the full member experience.

Join For Free

legacy java applications

with the advancement of the dockerization of applications, kubernetes has become a standard in the market, but we must remember that there are still thousands of legacy applications that depend on certain features provided by the application servers. so, if you need to use session replication, you will surely need wildfly instances to be clustered. to solve this smoothly, you can use the “kubernetes discovery protocol for jgroups” aka “kube-ping”. kube_ping is a discovery protocol for jgroups cluster nodes managed by kubernetes: jgroups-kubernetes .

walkthrough

i assume you already have a kubernetes cluster, so let’s just focus on wildfly settings.

the first step is to create a repository that will contain all our files:

shell
xxxxxxxxxx
1
1
[root@workstation ~]# mkdir wildfly20-kubeping
2
[root@workstation ~]# mkdir -p wildfly20-kubeping/application
3
[root@workstation ~]# mkdir -p wildfly20-kubeping/configuration
4
[root@workstation ~]# mkdir -p wildfly20-kubeping/kubernetes


then create a dockerfile with the necessary steps for image customization:

dockerfile
xxxxxxxxxx
1
16
1
[root@workstation ~]# vi wildfly20-kubeping/dockerfile
2
from jboss/wildfly:20.0.0.final
3
4
label maintainer mauricio magnani <msmagnanijr@gmail.com>
5
6
run /opt/jboss/wildfly/bin/add-user.sh admin redhat --silent
7
8
add configuration/config-server.cli /opt/jboss/
9
10
run /opt/jboss/wildfly/bin/jboss-cli.sh --file=config-server.cli
11
12
run rm -rf /opt/jboss/wildfly/standalone/configuration/standalone_xml_history/*
13
14
add application/cluster.war /opt/jboss/wildfly/standalone/deployments/
15
16
expose 8080 9990 7600 8888


in the same directory, create the file “config-server.cli”, which will contain the steps to configure kubeping correctly:

shell
xxxxxxxxxx
1
21
1
[root@workstation ~]# vi wildfly20-kubeping/configuration/config-server.cli
2
###start the server in admin-only mode, using/modifying standalone-full-ha.xml
3
embed-server --server-config=standalone-full-ha.xml --std-out=echo
4
5
###apply all configuration to the server
6
batch
7
#/subsystem=logging/logger=org.openshift.ping:add()
8
#/subsystem=logging/logger=org.openshift.ping:write-attribute(name=level, value=debug)
9
#/subsystem=logging/logger=org.openshift.ping:add-handler(name=console)
10
/subsystem=messaging-activemq/server=default/cluster-connection=my-cluster:write-attribute(name=reconnect-attempts,value=10)  
11
/interface=kubernetes:add(nic=eth0)  
12
/socket-binding-group=standard-sockets/socket-binding=jgroups-tcp/:write-attribute(name=interface,value=kubernetes)  
13
/socket-binding-group=standard-sockets/socket-binding=jgroups-tcp-fd/:write-attribute(name=interface,value=kubernetes)  
14
/subsystem=jgroups/channel=ee:write-attribute(name=stack,value=tcp)
15
/subsystem=jgroups/channel=ee:write-attribute(name=cluster,value=kubernetes)
16
/subsystem=jgroups/stack=tcp/protocol=mping:remove()
17
/subsystem=jgroups/stack=tcp/protocol=kubernetes.kube_ping:add(add-index=0,properties={namespace=${env.kubernetes_namespace},labels=${env.kubernetes_labels},port_range=0,masterhost=kubernetes.default.svc,masterport=443})
18
run-batch
19
20
###stop embedded server
21
stop-embedded-server


now put the “package of your application” to the directory “application”

shell
xxxxxxxxxx
1
1
[root@workstation ~]# cp cluster.war wildfly20-kubeping/application


the next step is to create all kubernetes objects so we can do the tests later. i’m using the namespace “labs”:

dockerfile
xxxxxxxxxx
1
122
1
[root@workstation ~]# vi wildfly20-kubeping/kubernetes/01-wildfly-sa-role.yaml
2
3
apiversion: v1
4
kind: serviceaccount
5
metadata:
6
  name: jgroups-kubeping-service-account
7
  namespace: labs
8
---
9
kind: clusterrole
10
apiversion: rbac.authorization.k8s.io/v1
11
metadata:
12
  name: jgroups-kubeping-pod-reader
13
  namespace: labs
14
rules:
15
- apigroups: [""]
16
  resources: ["pods"]
17
  verbs: ["get", "list"]
18
---
19
apiversion: rbac.authorization.k8s.io/v1beta1
20
kind: clusterrolebinding
21
metadata:
22
  name: jgroups-kubeping-api-access
23
roleref:
24
  apigroup: rbac.authorization.k8s.io
25
  kind: clusterrole
26
  name: jgroups-kubeping-pod-reader
27
subjects:
28
- kind: serviceaccount
29
  name: jgroups-kubeping-service-account
30
  namespace: labs
31
32
[root@workstation ~]# vi wildfly20-kubeping/kubernetes/02-wildfly-deployment.yaml
33
34
apiversion: apps/v1
35
kind: deployment
36
metadata:
37
  name: wildfly
38
  namespace: labs
39
  labels:
40
    app: wildfly
41
    tier: devops
42
spec:
43
  selector:
44
    matchlabels:
45
      app: wildfly
46
      tier: devops
47
  replicas: 2
48
  template: 
49
    metadata:
50
      labels:
51
        app: wildfly
52
        tier: devops
53
    spec:
54
      serviceaccountname: jgroups-kubeping-service-account
55
      containers:
56
        - name: kube-ping
57
          image: mmagnani/wildfly20-kubeping:latest
58
          command: ["/opt/jboss/wildfly/bin/standalone.sh"]
59
          args: ["--server-config", "standalone-full-ha.xml", "-b", $(pod_ip), "-bmanagement", $(pod_ip) ,"-bprivate", $(pod_ip) ]
60
          resources:
61
            requests:
62
              memory: 256mi
63
            limits:
64
              memory: 512mi
65
          imagepullpolicy: always
66
          ports:
67
            - containerport: 8080
68
            - containerport: 9990
69
            - containerport: 7600
70
            - containerport: 8888
71
          env:
72
            - name: pod_ip
73
              valuefrom:
74
                fieldref:
75
                  apiversion: v1
76
                  fieldpath: status.podip
77
            - name: kubernetes_namespace
78
              valuefrom:
79
                fieldref:
80
                  apiversion: v1
81
                  fieldpath: metadata.namespace
82
            - name: kubernetes_labels 
83
              value: app=wildfly
84
            - name: java_opts
85
              value: -djdk.tls.client.protocols=tlsv1.2
86
87
[root@workstation ~]# vi wildfly20-kubeping/kubernetes/03-wildfly-service.yaml
88
89
apiversion: v1
90
kind: service
91
metadata:
92
    name: wildfly
93
    namespace: labs
94
    labels:
95
      app: wildfly
96
      tier: devops
97
spec:
98
  type: clusterip
99
  ports:
100
    - targetport: 8080
101
      port: 8080
102
  selector:
103
    app: wildfly
104
    tier: devops
105
106
[root@workstation ~]# vi wildfly20-kubeping/kubernetes/04-wildfly-ingress.yaml
107
108
---
109
apiversion: extensions/v1beta1
110
kind: ingress
111
metadata:
112
    name: wildfly-ingress
113
    namespace: labs
114
spec:
115
  rules:
116
  - host: wildfly.mmagnani.lab
117
    http:
118
      paths:
119
      - path: /
120
        backend:
121
          servicename: wildfly
122
          serviceport: 8080


now just run the image build and push this to the docker hub or any other “registry”:

shell




xxxxxxxxxx
1


1
[root@workstation ~]# docker build -t mmagnani/wildfly20-kubeping:latest . 
2
[root@workstation ~]# docker push mmagnani/wildfly20-kubeping



in the context of your kubernetes cluster, just create those objects:

shell
xxxxxxxxxx
1
1
[root@k8s-master kubernetes]# kubelet --version
2
kubernetes v1.18.3
3
[root@k8s-master kubernetes]# pwd
4
/root/wildfly20-kubeping/kubernetes
5
[root@k8s-master kubernetes]# kubectl create -f . -n labs
6
[root@k8s-master kubernetes]# kubectl get pods -n labs
7
name                      ready   status    restarts   age
8
wildfly-cc8b9546f-df9sw   1/1     running   0          48s
9
wildfly-cc8b9546f-scfdp   1/1     running   0          48s


check the logs. you should find two members as we only define 2 replicas:

plain text
xxxxxxxxxx
1
1
[root@k8s-master kubernetes]# kubectl logs -f wildfly-cc8b9546f-df9sw -n labs
2
3
14:23:33,253 info  [org.infinispan.cluster] (msc service thread 1-2) ispn000078: starting jgroups channel kubernetes
4
14:23:33,253 info  [org.infinispan.cluster] (msc service thread 1-2) ispn000094: received new cluster view for channel kubernetes: [wildfly-cc8b9546f-scfdp|1] (2) [wildfly-cc8b9546f-scfdp, wildfly-cc8b9546f-df9sw]


as i am using “traefik”, my “ingress” is available:

ingress with traefik


in the application, it is also possible to add the object to the session:

adding the object to the session

Kubernetes Docker (software) WildFly Java (programming language) application shell Plain text Object (computer science) Session (web analytics) Directory

Opinions expressed by DZone contributors are their own.

Related

  • Rapidly Develop Java Microservices on Kubernetes With Telepresence
  • Running Axon Server in Docker
  • Keep Your Application Secrets Secret
  • High-Performance Java Serialization to Different Formats

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!