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Kubernetes on aws

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kubernetes on aws

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Kubernetes on aws

  1. 1. Kubernetes on aws Yousun Jeong jerryjung@apach.org
  2. 2. Agenda • Docker • Kubernetes • Kubernetes on AWS • Demo
  3. 3. Docker Automate the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere https://www.docker.com/what-docker#Why-Should-I-Care-(For-Developers)
  4. 4. Docker For Developers Docker automates the repetitive tasks of setting up and configuring development environments so that developers can focus on what matters: building great software.
  5. 5. Docker for Ops • Develop and deploy bug fixes and new features without roadblocks and scale applications in real time.
  6. 6. Diff VM • Containers have similar resource isolation and allocation benefits as virtual machines but a different architectural approach allows them to be much more portable and efficient.
  7. 7. Docker Engine • It uses a shared kernel and independent user mode sessions to provide isolated run-times for multiple applications on the same host.
  8. 8. Docker Container • It is a packaged application running in an isolated mode on a Docker host.
  9. 9. Docker Client • It provides a command line interface to control the Docker engine.
  10. 10. Docker Image • It is an application template ready to be deployed multiple times.
  11. 11. Docker image http://blog.octo.com/en/docker-registry-first-steps/
  12. 12. Docker Architecture http://southworks.com/blog/tag/docker/
  13. 13. Docker Compose • Docker Compose allows you to define your multi-container application with all of its dependencies in a single file, then spin your application up in a single command
  14. 14. Docker Orchestration https://www.linkedin.com/pulse/docker-redefining-cloud-computing-landscape-akash- goswami
  15. 15. Kubernetes • Open Source Automation Framework for deploying, managing, and scaling applications.
  16. 16. Why Kubernetes • Kubernetes provides a common API and self- healing framework which automatically handles machine failures and application deployments, logging, and monitoring.
  17. 17. Kubernetes Concept • Clusters - set of compute, storage, network resource • Pods - colocated group of application containers that share volumes and a networking stack • Replication Controllers - ensure a specific number of pods, manage pods, status updates • Services - cluster wide service discovery
  18. 18. Architecture
  19. 19. Components etcd flannel kubernetes master kubernetes node kubernetes node
  20. 20. kubectl • Pod • Replication controller • Deployment • Service • Volumes https://kubernetes.io/docs/user-guide/deployments/
  21. 21. Kubernetes on AWS https://kubernetes.io/docs/getting-started-guides/aws/
  22. 22. Kubernetes on AWS export AWS_DEFAULT_PROFILE=default export KUBERNETES_PROVIDER=aws; wget -q -O - https://get.k8s.io | bash export AWS_ACCESS_KEY_ID=XXXX export AWS_SECRET_ACCESS_KEY=XXX export KUBERNETES_PROVIDER=aws export KUBE_AWS_ZONE=us-east-1c export NUM_NODES=3 export MASTER_SIZE=t2.medium export NODE_SIZE=m3.large export AWS_S3_REGION=us-east-1 export AWS_S3_BUCKET=XXX export INSTANCE_PREFIX=k8s export NODE_ROOT_DISK_SIZE=10 export MASTER_ROOT_DISK_SIZE=10 export AWS_SSH_KEY=/Users/dummy/.ssh/metatron kube-up.sh
  23. 23. Amazon Container Service • Amazon ECS makes it easy to deploy, manage, and scale Docker containers running applications, services, and batch processes.
  24. 24. Amazon Container Servie http://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html
  25. 25. Amazon Container Servie
  26. 26. Screenshot
  27. 27. Screenshot
  28. 28. Episode • Pod restart • Failed Containers that are restarted by the kubelet are restarted with an exponential back-off delay (10s, 20s, 40s …) capped at five minutes, and is reset after ten minutes of successful execution
  29. 29. PersistentVolume • awsElasticBlockStore kind: PersistentVolume apiVersion: v1 metadata: name: metatron-pv labels: type: amazonEBS spec: capacity: storage: 5Gi accessModes: - ReadWriteMany awsElasticBlockStore: volumeID: vol-XXXXXXXXXXXXXXXX fsType: ext4
  30. 30. PersistentVolumeClaim kind: PersistentVolumeClaim apiVersion: v1 metadata: name: metatron-pvc labels: type: amazonEBS spec: accessModes: - ReadWriteOnce resources: requests: storage: 5Gi
  31. 31. Deployment spec: volumes: - name: ebs-volume awsElasticBlockStore: volumeID: vol-XXXXXXXXXXXXXXXX fsType: ext4 containers: - name: jupyter image: jerryjung/jupyter-notebook-gfs:latest volumeMounts: - mountPath: "/home/jupyter/work" name: ebs-volume
  32. 32. Kubernetes meets Hadoop • Persistent Volume Issue by permission • Shared Nothing Architecture - hadoop • DaemonSet or StatefulSet for i in 0 1; do kubectl exec yarn-nm-$i -- sh -c 'hostname'; done yarn-nm-0 yarn-nm-1
  33. 33. DEMO
  34. 34. Q&A
  35. 35. Thank you