<< Photos

Package your Java EE Application using Docker and Kubernetes - Comment

Package your Java EE Application using Docker and Kubernetes.

Topics covered in this presentation slides:


1. Package your
 Java EE applications
 using
 Docker and Kubernetes
 Arun Gupta, @arungupta Red Hat
2. Arun Gupta Director, Developer Advocacy @arungupta blog.arungupta.me arungupta@redhat.com
3. What is Docker?
4. What is Docker? • Open source project and company
 
 
 
 
 

5. What is Docker? • Open source project and company
 
 
 
 
 
 • Used to create containers for software applications
6. What is Docker? • Open source project and company
 
 
 
 
 
 • Used to create containers for software applications • Package Once Deploy Anywhere (PODA)
7. Advantages
8. Advantages • Faster deployments
9. Advantages • Faster deployments • Isolation
10. Advantages • Faster deployments • Isolation • Portability - “it works on my machine”
11. Advantages • Faster deployments • Isolation • Portability - “it works on my machine” • Snapshotting
12. Advantages • Faster deployments • Isolation • Portability - “it works on my machine” • Snapshotting • Security sandbox
13. Advantages • Faster deployments • Isolation • Portability - “it works on my machine” • Snapshotting • Security sandbox • Limit resource usage
14. Advantages • Faster deployments • Isolation • Portability - “it works on my machine” • Snapshotting • Security sandbox • Limit resource usage • Simplified dependency
15. Advantages • Faster deployments • Isolation • Portability - “it works on my machine” • Snapshotting • Security sandbox • Limit resource usage • Simplified dependency • Sharing
16. Underlying Technology
17. Underlying Technology • Written in Go

18. Underlying Technology • Written in Go
 • Uses several Linux features
19. Underlying Technology • Written in Go
 • Uses several Linux features • Namespaces to provide isolation
20. Underlying Technology • Written in Go
 • Uses several Linux features • Namespaces to provide isolation • Control groups to share/limit hardware resources
21. Underlying Technology • Written in Go
 • Uses several Linux features • Namespaces to provide isolation • Control groups to share/limit hardware resources • Union File System makes it light and fast
22. Underlying Technology • Written in Go
 • Uses several Linux features • Namespaces to provide isolation • Control groups to share/limit hardware resources • Union File System makes it light and fast • libcontainer defines container format
23. Is it only Linux?
24. Is it only Linux? • Natively supported in Linux
25. Is it only Linux? • Natively supported in Linux • Can be installed on Mac or Windows using boot2docker
26. Is it only Linux? • Natively supported in Linux • Can be installed on Mac or Windows using boot2docker • Tiny Core Linux VM
27. • Image defined in text-based Dockerfile
28. • Image defined in text-based Dockerfile • List of commands to build the image
 
 
 
 FROM fedora:latest
 
 CMD echo “Hello world”
29. • Image defined in text-based Dockerfile • List of commands to build the image
 
 
 
 • docker build or pull FROM fedora:latest
 
 CMD echo “Hello world”
30. • Images shared using registry
31. • Images shared using registry • Docker Hub is public SaaS
 
 
 
 
 
 

32. • Images shared using registry • Docker Hub is public SaaS
 
 
 
 
 
 
 • Private registries can be setup inside firewall
33. • Images shared using registry • Docker Hub is public SaaS
 
 
 
 
 
 
 • Private registries can be setup inside firewall • docker push or pull
34. • Container built from the image
 
 
 
 
 
 

35. • Container built from the image
 
 
 
 
 
 
 • Runtime representation of the image
36. • Container built from the image
 
 
 
 
 
 
 • Runtime representation of the image • Self contained execution environment
37. • Container built from the image
 
 
 
 
 
 
 • Runtime representation of the image • Self contained execution environment • docker run
38. Docker commands • docker ps: List running containers • docker stop: Stop a running container • docker rm: Remove a running container • docker rmi: Remove an image • … https://docs.docker.com/reference/commandline/cli/
39. Docker
 Hub
 Docker
 Host
 DaemonDocker
 Client Docker Workflow
40. Docker
 Hub
 Docker
 Host
 DaemonDocker
 Client docker run docker … Docker Workflow
41. Docker
 Hub
 Docker
 Host
 DaemonDocker
 Client docker run docker … Docker Workflow
42. Docker
 Hub
 Image 1 Image 2 Image 3 Image M Docker
 Host
 DaemonDocker
 Client docker run docker … Docker Workflow
43. Docker
 Hub
 Image 1 Image 2 Image 3 Image M Docker
 Host
 Image 1 Image 2 Image 3 Image N DaemonDocker
 Client docker run docker … Docker Workflow
44. Docker
 Hub
 Image 1 Image 2 Image 3 Image M Docker
 Host
 Image 1 Image 2 Image 3 Image N Daemon Container 1 Container 2 Container O Docker
 Client docker run docker … Docker Workflow
45. Recipe #1.1 FROM jboss/wildfly RUN curl -L https://github.com/javaee-samples/javaee7-hol/raw/master/solution/ movieplex7-1.0-SNAPSHOT.war -o /opt/jboss/wildfly/standalone/deployments/ movieplex7-1.0-SNAPSHOT.war docker run -it -p 8080:8080 arungupta/javaee7-hol Host
 Application Server Database
46. Recipe #1.2 Host
 Application Server Database http://blog.arungupta.me/wildfly-javaee7-mysql-link-two-docker-container-techtip65/ data-source add --name=mysqlDS --driver-name=mysql --jndi-name=java:jboss/ datasources/ExampleMySQLDS --connection-url=jdbc:mysql://$DB_PORT_3306_TCP_ADDR: $DB_PORT_3306_TCP_PORT/sample?useUnicode=true&characterEncoding=UTF-8 -- user-name=mysql --password=mysql --use-ccm=false --max-pool-size=25 --blocking- timeout-wait-millis=5000 --enabled=true
47. Recipe #1.3 Host
 Application Server Database http://blog.arungupta.me/docker-orchestration-fig-techtip67/
48. Recipe #1.4 Host
 Application Server http://blog.arungupta.me/docker-container-linking-across-multiple-hosts-techtip69/ Host
 Database
49. Recipe #1.4 Host
 Application Server http://blog.arungupta.me/docker-container-linking-across-multiple-hosts-techtip69/ Host
 Database
50. Recipe #1.4 Host
 Application Server http://blog.arungupta.me/docker-container-linking-across-multiple-hosts-techtip69/ Host
 Database
51. Recipe #1.4 Host
 Application Server http://blog.arungupta.me/docker-container-linking-across-multiple-hosts-techtip69/ Host
 Database
52. Arquillian Cube • Controls the lifecycle of Docker images as part of test cycle - automatically or manually • Uses Docker REST API to talk to container • Talk using WildFly remote adapter (in container) • Try it out http://blog.arungupta.me/run-javaee-tests-wildfly-docker-arquillian-cube/
53. Docker: Pros and Cons
54. Docker: Pros and Cons • PROS • Extreme application portability • Very easy to create and work with derivative • Fast boot on containers
55. Docker: Pros and Cons • PROS • Extreme application portability • Very easy to create and work with derivative • Fast boot on containers • CONS • Host-centric solution • No higher-level provisioning • No usage tracking/reporting
56. Application Operating Environment
57. Kubernetes
58. Kubernetes • Open source orchestration system for Docker containers
59. Kubernetes • Open source orchestration system for Docker containers • Provide declarative primitives for the “desired state” • Self-healing • Auto-restarting • Schedule across hosts • Replicating
60. Concepts
61. Concepts • Pods: collocated group of Docker containers that share an IP and storage volume Docker Pod 1 Pod 2 C1 C2 C3
62. Concepts • Pods: collocated group of Docker containers that share an IP and storage volume • Service: Single, stable name for a set of pods, also acts as LB Docker Pod 1 Pod 2 C1 C2 C3 Pod 1 JBoss Pod 2 JBoss Service “web” port 8080 port 8080
63. Concepts • Pods: collocated group of Docker containers that share an IP and storage volume • Service: Single, stable name for a set of pods, also acts as LB • Replication Controller: manages the lifecycle of pods and ensures specified number are running Docker Pod 1 Pod 2 C1 C2 C3 Pod 1 JBoss Pod 2 JBoss Service “web” port 8080 port 8080
64. Concepts • Pods: collocated group of Docker containers that share an IP and storage volume • Service: Single, stable name for a set of pods, also acts as LB • Replication Controller: manages the lifecycle of pods and ensures specified number are running • Label: used to organize and select group of objects Docker Pod 1 Pod 2 C1 C2 C3 Pod 1 JBoss Pod 2 JBoss Service “web” port 8080 port 8080
65. kubectl
66. kubectl • Controls the Kubernetes cluster manager
67. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions
68. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions • kubectl create -f
69. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions • kubectl create -f • kubectl update or delete
70. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions • kubectl create -f • kubectl update or delete • kubectl resize —replicas=3 replicationcontrollers
71. export KUBERNETES_PROVIDER=vagrant ./cluster/kube-up.sh Mac OS X Kubernetes (Vagrant) Master Minion
72. Recipe #2.1 Mac OS X Kubernetes (Vagrant) Master Minion Pod Docker
 (WildFly) http://blog.arungupta.me/javaee7-wildfly-kubernetes-mac-vagrant/
73. Services • Abstract a set of pods as a single IP and port • Simple TCP/UDP load balancing • Creates environment variables in other pods • Like “Docker links” but across hosts • Stable endpoint for pods to reference • Allows list of pods to change dynamically
74. Recipe #2.2 Minion Pod Docker
 (WildFly) Pod Docker
 (MySQL) MySQL Service http://blog.arungupta.me/mysql-kubernetes-service-access-wildfly-pod-techtip72/
75. Minion 2 Recipe #2.3 Minion 1 Pod Docker
 (WildFly) Pod Docker
 (MySQL) MySQL Service
76. Replication Controller
77. Replication Controller • Ensures specified number of pod “replicas” are running
78. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters
79. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters • Rescheduling
80. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters • Rescheduling • Manual or auto-scale replicas
81. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters • Rescheduling • Manual or auto-scale replicas • Rolling updates
82. Recipe #2.4
83. Recipe #2.4
84. Recipe #2.4 Minion 2 Minion 1 Pod Docker
 (WildFly) Pod Docker
 (MySQL) MySQL Service Pod Docker
 (WildFly) WildFly Service
85. Recipe #2.4 Minion 2 Minion 1 Pod Docker
 (WildFly) Pod Docker
 (MySQL) MySQL Service Pod Docker
 (WildFly) WildFly Service
86. Kubernetes: Pros and Cons • PROS • Manage related Docker containers as a unit • Container communication across hosts • Availability and scalability through automated deployment and monitoring of pods and their replicas, across hosts
87. Kubernetes: Pros and Cons • CONS • Lifecycle of applications - build, deploy, manage, promote • Port existing source code to run in Kubernetes • DevOps: Dev -> Test -> Production • No multi-tenancy • On-premise (available on GCE) • Assumes inter-pod networking as part of infrastructure • Requires explicit load balancer
88. Pod 7 ActiveMQ Pod 8 ActiveMQ “mq” port 8161 port 8161 Pod 1 Apache Pod 2 Apache “web” port 80 port 80 Pod 5 MySQL Pod 6 MySQL “db” port 3306 port 3306 Pod 3 JBoss Pod 4 JBoss “javaee” port 8080 port 8080
89. Pod 7 ActiveMQ Pod 8 ActiveMQ “mq” port 8161 port 8161 Pod 1 Apache Pod 2 Apache “web” port 80 port 80 Pod 5 MySQL Pod 6 MySQL “db” port 3306 port 3306 Pod 3 JBoss Pod 4 JBoss “javaee” port 8080 port 8080
90. Container Host Container Cluster Management User Experience
91. OpenShift 3 Features
92. OpenShift 3 Features • Push to production - full DevOps
93. OpenShift 3 Features • Push to production - full DevOps • Client tools for building web applications
94. OpenShift 3 Features • Push to production - full DevOps • Client tools for building web applications • Centralized administration and management of application component libraries
95. OpenShift 3 Features • Push to production - full DevOps • Client tools for building web applications • Centralized administration and management of application component libraries • Team and user isolation of containers, builds, and network communication in an easy multi-tenancy system
96. Recipe #3.1 • Start OpenShift as Docker container
 
 
 • Or run natively • Use osc (OpenShift Client) instead of kubectl with Kubernetes configuration file
97. Recipe #3.2 • (Alpha) tools generate project JSON configuration file that provide build/deployment
98. 40
99. Recipe #3.3 • Integration with JBoss Developer Studio (cooking)
100. Summary • Container runtime and image distribution • Roll your own solutions for everything • Runtime and operational management of containers
 • Lifecycle of applications - build, deploy, manage, promote • Manage tens of thousands of applications with teams
101. References • blog.arungupta.me/topics/containers/ • github.com/openshift/origin

Posted by :  peter88 Post date :  2020-01-06 15:27
Category :  Technology Views :  311

Comment - Previous - Next - Bookmark This
Social Bookmark or Share this page

peter88 last post Image
- Sample Images of Fujifilm X-T5 retro camera
- Best Friends
- Weekly collection of popular funny memes
- Fall/Halloween Wallpaper Dump
- Halloween Portrait Wallpaper Dump
- Spooky Fun Halloween Wallpaper Dump
- Wtf hair dump
- Bad Hair Mega Dump
- Crazy hair dump
- Nail art dump 2
- Nail art dump
- Nail Dump
- Monkey pox virus - Microbiological aspects
- MonkeyPox Virus
- Monkeypox Outbreak 2022


New Comment