Package your Java EE Application using Docker and Kubernetes
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Package your Java EE Application using Docker and Kubernetes
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Package your Java EE Application using Docker and Kubernetes
- 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
- 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
- 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
- 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
- 30. • Image defined in text-based Dockerfile
- 31. • Image defined in text-based Dockerfile • List of commands to build the image FROM fedora:latest CMD echo “Hello world”
- 32. • Image defined in text-based Dockerfile • List of commands to build the image • docker build or pull FROM fedora:latest CMD echo “Hello world”
- 34. • Images shared using registry
- 35. • Images shared using registry • Docker Hub is public SaaS
- 36. • Images shared using registry • Docker Hub is public SaaS • Private registries can be setup inside firewall
- 37. • Images shared using registry • Docker Hub is public SaaS • Private registries can be setup inside firewall • docker push or pull <IMAGE_ID>
- 39. • Container built from the image
- 40. • Container built from the image • Runtime representation of the image
- 41. • Container built from the image • Runtime representation of the image • Self contained execution environment
- 42. • Container built from the image • Runtime representation of the image • Self contained execution environment • docker run <IMAGE_ID>
- 43. 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/
- 45. Docker Hub Docker Host DaemonDocker Client docker run <image> docker … Docker Workflow
- 46. Docker Hub Docker Host DaemonDocker Client docker run <image> docker … Docker Workflow
- 47. Docker Hub Image 1 Image 2 Image 3 Image M Docker Host DaemonDocker Client docker run <image> docker … Docker Workflow
- 48. Docker Hub Image 1 Image 2 Image 3 Image M Docker Host Image 1 Image 2 Image 3 Image N DaemonDocker Client docker run <image> docker … Docker Workflow
- 49. 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 <image> docker … Docker Workflow
- 51. 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
- 52. 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
- 58. 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/
- 59. Docker: Pros and Cons
- 60. Docker: Pros and Cons • PROS • Extreme application portability • Very easy to create and work with derivative • Fast boot on containers
- 61. 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
- 63. Kubernetes
- 64. Kubernetes • Open source orchestration system for Docker containers
- 65. Kubernetes • Open source orchestration system for Docker containers • Provide declarative primitives for the “desired state” • Self-healing • Auto-restarting • Schedule across hosts • Replicating
- 67. Concepts
- 68. Concepts • Pods: collocated group of Docker containers that share an IP and storage volume Docker Pod 1 Pod 2 C1 C2 C3
- 69. 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
- 70. 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
- 71. 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
- 72. kubectl
- 73. kubectl • Controls the Kubernetes cluster manager
- 74. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions
- 75. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions • kubectl create -f <filename>
- 76. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions • kubectl create -f <filename> • kubectl update or delete
- 77. kubectl • Controls the Kubernetes cluster manager • kubectl get pods or minions • kubectl create -f <filename> • kubectl update or delete • kubectl resize —replicas=3 replicationcontrollers <name>
- 78. export KUBERNETES_PROVIDER=vagrant ./cluster/kube-up.sh Mac OS X Kubernetes (Vagrant) Master Minion
- 79. Recipe #2.1 Mac OS X Kubernetes (Vagrant) Master Minion Pod Docker (WildFly) http://blog.arungupta.me/javaee7-wildfly-kubernetes-mac-vagrant/
- 80. 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
- 82. Minion 2 Recipe #2.3 Minion 1 Pod Docker (WildFly) Pod Docker (MySQL) MySQL Service
- 84. Replication Controller • Ensures specified number of pod “replicas” are running
- 85. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters
- 86. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters • Rescheduling
- 87. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters • Rescheduling • Manual or auto-scale replicas
- 88. Replication Controller • Ensures specified number of pod “replicas” are running • Pod templates are cookie cutters • Rescheduling • Manual or auto-scale replicas • Rolling updates
- 89. Recipe #2.4
- 90. Recipe #2.4
- 91. Recipe #2.4 Minion 2 Minion 1 Pod Docker (WildFly) Pod Docker (MySQL) MySQL Service Pod Docker (WildFly) WildFly Service
- 92. Recipe #2.4 Minion 2 Minion 1 Pod Docker (WildFly) Pod Docker (MySQL) MySQL Service Pod Docker (WildFly) WildFly Service
- 93. 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
- 94. 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
- 95. 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
- 96. 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
- 97. Container Host Container Cluster Management User Experience
- 99. OpenShift 3 Features • Push to production - full DevOps
- 100. OpenShift 3 Features • Push to production - full DevOps • Client tools for building web applications
- 101. OpenShift 3 Features • Push to production - full DevOps • Client tools for building web applications • Centralized administration and management of application component libraries
- 102. 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
- 103. Recipe #3.1 • Start OpenShift as Docker container • Or run natively • Use osc (OpenShift Client) instead of kubectl with Kubernetes configuration file
- 104. Recipe #3.2 • (Alpha) tools generate project JSON configuration file that provide build/deployment
- 105. 40
- 106. Recipe #3.3 • Integration with JBoss Developer Studio (cooking)
- 107. 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